dissertation.bib

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@article{white1999monitoring,
  title={Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta},
  author={White, Kevin and El Asmar, Hesham M},
  journal={Geomorphology},
  volume={29},
  number={1},
  pages={93--105},
  year={1999},
  publisher={Elsevier}
}

@article{ryu2002waterline,
  title={Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea},
  author={Ryu, Joo-Hyung and Won, Joong-Sun and Min, Kyung Duck},
  journal={Remote Sensing of Environment},
  volume={83},
  number={3},
  pages={442--456},
  year={2002},
  publisher={Elsevier}
}

@article{frazier2000water,
  title={Water body detection and delineation with Landsat TM data},
  author={Frazier, Paul S and Page, Kenneth J and others},
  journal={Photogrammetric engineering and remote sensing},
  volume={66},
  number={12},
  pages={1461--1468},
  year={2000},
  publisher={ASPRS AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND}
}

@article{yang2015landsat,
  title={Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach},
  author={Yang, Yuhao and Liu, Yongxue and Zhou, Minxi and Zhang, Siyu and Zhan, Wenfeng and Sun, Chao and Duan, Yuewei},
  journal={Remote Sensing of Environment},
  volume={171},
  pages={14--32},
  year={2015},
  publisher={Elsevier}
}

@article{lamarche2017compilation,
  title={Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community},
  author={Lamarche, Celine and Santoro, Maurizio and Bontemps, Sophie and dAndrimont, Raphael and Radoux, Julien and Giustarini, Laura and Brockmann, Carsten and Wevers, Jan and Defourny, Pierre and Arino, Olivier},
  journal={Remote Sensing},
  volume={9},
  number={1},
  pages={36},
  year={2017},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@article{wilson2016remotely,
  title={Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions},
  author={Wilson, Adam M and Jetz, Walter},
  journal={PLoS Biol},
  volume={14},
  number={3},
  pages={e1002415},
  year={2016},
  publisher={Public Library of Science}
}

@article{hall1995development,
  title={Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data},
  author={Hall, Dorothy K and Riggs, George A and Salomonson, Vincent V},
  journal={Remote sensing of Environment},
  volume={54},
  number={2},
  pages={127--140},
  year={1995},
  publisher={Elsevier}
}

@article{McDonald12042011,
author = {McDonald, Robert I. and Green, Pamela and Balk, Deborah and Fekete, Balazs M. and Revenga, Carmen and Todd, Megan and Montgomery, Mark}, 
title = {Urban growth, climate change, and freshwater availability},
volume = {108}, 
number = {15}, 
pages = {6312-6317}, 
year = {2011}, 
doi = {10.1073/pnas.1011615108}, 
abstract ={Nearly 3 billion additional urban dwellers are forecasted by 2050, an unprecedented wave of urban growth. While cities struggle to provide water to these new residents, they will also face equally unprecedented hydrologic changes due to global climate change. Here we use a detailed hydrologic model, demographic projections, and climate change scenarios to estimate per-capita water availability for major cities in the developing world, where urban growth is the fastest. We estimate the amount of water physically available near cities and do not account for problems with adequate water delivery or quality. Modeled results show that currently 150 million people live in cities with perennial water shortage, defined as having less than 100 L per person per day of sustainable surface and groundwater flow within their urban extent. By 2050, demographic growth will increase this figure to almost 1 billion people. Climate change will cause water shortage for an additional 100 million urbanites. Freshwater ecosystems in river basins with large populations of urbanites with insufficient water will likely experience flows insufficient to maintain ecological process. Freshwater fish populations will likely be impacted, an issue of special importance in regions such as India's Western Ghats, where there is both rapid urbanization and high levels of fish endemism. Cities in certain regions will struggle to find enough water for the needs of their residents and will need significant investment if they are to secure adequate water supplies and safeguard functioning freshwater ecosystems for future generations.}, 
URL = {http://www.pnas.org/content/108/15/6312.abstract}, 
eprint = {http://www.pnas.org/content/108/15/6312.full.pdf}, 
journal = {Proceedings of the National Academy of Sciences} 
}


@techreport{un2015resolution,
  title={Transforming our world: the 2030 Agenda for Sustainable Development},
  author={UN},
  year={2015},
  institution={United Nations},
  url={http://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E}
}

@article{lehner2004development,
  title={Development and validation of a global database of lakes, reservoirs and wetlands},
  author={Lehner, Bernhard and D{\"o}ll, Petra},
  journal={Journal of Hydrology},
  volume={296},
  number={1},
  pages={1--22},
  year={2004},
  publisher={Elsevier}
}

@techreport{nasa2003water,
  title={SRTM Water Body Data Product Specific Guidance, Version 2.0},
  author={NASA/NGA},
  year={2003},
  institution={NASA},
  url={http://dds.cr.usgs.gob/srtm/version2_1/SWBD/SWBD_Documentation}
}

@techreport{unfao2006watermonitoring,
  title={Water Monitoring: Mapping Existing Global Systems and Initiatives},
  author={FAO},
  year={2006},
  institution={Prepared by FAO on behalf of the UN-Water Task Force on Monitoring}
}
            
@techreport{valovcin1976snow,
  title={Snow/Cloud Discrimination.},
  author={Valovcin, Francis R},
  year={1976},
  institution={DTIC Document}
}

@article{song2001classification,
  title={Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?},
  author={Song, Conghe and Woodcock, Curtis E and Seto, Karen C and Lenney, Mary Pax and Macomber, Scott A},
  journal={Remote sensing of Environment},
  volume={75},
  number={2},
  pages={230--244},
  year={2001},
  publisher={Elsevier}
}

@techreport{berk1987modtran,
  title={MODTRAN: A moderate resolution model for LOWTRAN},
  author={Berk, Alexander and Bernstein, Lawrence S and Robertson, David C},
  year={1987},
  institution={DTIC Document}
}

@article{chavez1996image,
  title={Image-based atmospheric corrections-revisited and improved},
  author={Chavez, Pat S},
  journal={Photogrammetric engineering and remote sensing},
  volume={62},
  number={9},
  pages={1025--1035},
  year={1996},
  publisher={[Falls Church, Va.] American Society of Photogrammetry.}
}

@article{vermote1997second,
  title={Second simulation of the satellite signal in the solar spectrum, 6S: An overview},
  author={Vermote, Eric F and Tanr{\'e}, Didier and Deuze, Jean L and Herman, Maurice and Morcette, J-J},
  journal={IEEE transactions on geoscience and remote sensing},
  volume={35},
  number={3},
  pages={675--686},
  year={1997},
  publisher={IEEE}
}

@article{zhang2012improved,
  title={An Improved 6S Code for Atmospheric Correction Based on Water Vapor Content},
  author={Zhang, Yin and Wang, Xiaoqin and Chen, Yunzhi},
  year={2012},
  publisher={Scientific Research Publishing}
}

@article{garzelli2016review,
  title={A Review of Image Fusion Algorithms Based on the Super-Resolution Paradigm},
  author={Garzelli, Andrea},
  journal={Remote Sensing},
  volume={8},
  number={10},
  pages={797},
  year={2016},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@inproceedings{johnson2016perceptual,
  title={Perceptual losses for real-time style transfer and super-resolution},
  author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
  booktitle={European Conference on Computer Vision},
  pages={694--711},
  year={2016},
  organization={Springer}
}

@inproceedings{shi2016real,
  title={Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network},
  author={Shi, Wenzhe and Caballero, Jose and Husz{\'a}r, Ferenc and Totz, Johannes and Aitken, Andrew P and Bishop, Rob and Rueckert, Daniel and Wang, Zehan},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={1874--1883},
  year={2016}
}

@article{ledig2016photo,
  title={Photo-realistic single image super-resolution using a generative adversarial network},
  author={Ledig, Christian and Theis, Lucas and Husz{\'a}r, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and others},
  journal={arXiv preprint arXiv:1609.04802},
  year={2016}
}

@article{rouse1974monitoring,
  title={Monitoring vegetation systems in the Great Plains with ERTS},
  author={Rouse Jr, J\_W and Haas, RH and Schell, JA and Deering, DW},
  year={1974}
}

@article{pekel2014near,
  title={A near real-time water surface detection method based on HSV transformation of MODIS multi-spectral time series data},
  author={Pekel, J-F and Vancutsem, C and Bastin, Lucy and Clerici, M and Vanbogaert, Eric and Bartholom{\'e}, E and Defourny, Pierre},
  journal={Remote sensing of environment},
  volume={140},
  pages={704--716},
  year={2014},
  publisher={Elsevier}
}

@article{feyisa2014automated,
  title={Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery},
  author={Feyisa, Gudina L and Meilby, Henrik and Fensholt, Rasmus and Proud, Simon R},
  journal={Remote Sensing of Environment},
  volume={140},
  pages={23--35},
  year={2014},
  publisher={Elsevier}
}

@article{fisher1936use,
  title={The use of multiple measurements in taxonomic problems},
  author={Fisher, Ronald A},
  journal={Annals of eugenics},
  volume={7},
  number={2},
  pages={179--188},
  year={1936},
  publisher={Wiley Online Library}
}

@article{fisher2016comparing,
  title={Comparing Landsat water index methods for automated water classification in eastern Australia},
  author={Fisher, Adrian and Flood, Neil and Danaher, Tim},
  journal={Remote Sensing of Environment},
  volume={175},
  pages={167--182},
  year={2016},
  publisher={Elsevier}
}

@article{mello2013bayesian,
  title={Bayesian networks for raster data (BayNeRD): Plausible reasoning from observations},
  author={Mello, Marcio Pupin and Risso, Joel and Atzberger, Clement and Aplin, Paul and Pebesma, Edzer and Vieira, Carlos Antonio Oliveira and Rudorff, Bernardo Friedrich Theodor},
  journal={Remote Sensing},
  volume={5},
  number={11},
  pages={5999--6025},
  year={2013},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@article{hoberg2015conditional,
  title={Conditional random fields for multitemporal and multiscale classification of optical satellite imagery},
  author={Hoberg, Thorsten and Rottensteiner, Franz and Feitosa, Raul Queiroz and Heipke, Christian},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={53},
  number={2},
  pages={659--673},
  year={2015},
  publisher={IEEE}
}

@article{chen2014deep,
  title={Deep learning-based classification of hyperspectral data},
  author={Chen, Yushi and Lin, Zhouhan and Zhao, Xing and Wang, Gang and Gu, Yanfeng},
  journal={IEEE Journal of Selected topics in applied earth observations and remote sensing},
  volume={7},
  number={6},
  pages={2094--2107},
  year={2014},
  publisher={IEEE}
}

@article{verhoef2003simulation,
  title={Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models},
  author={Verhoef, Wout and Bach, Heike},
  journal={Remote Sensing of Environment},
  volume={87},
  number={1},
  pages={23--41},
  year={2003},
  publisher={Elsevier}
}

@article{drusch2012sentinel,
  title={Sentinel-2: ESA's optical high-resolution mission for GMES operational services},
  author={Drusch, M and Del Bello, U and Carlier, S and Colin, O and Fernandez, V and Gascon, F and Hoersch, B and Isola, C and Laberinti, P and Martimort, P and others},
  journal={Remote Sensing of Environment},
  volume={120},
  pages={25--36},
  year={2012},
  publisher={Elsevier}
}

@article{chander2009summary,
  title={Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors},
  author={Chander, Gyanesh and Markham, Brian L and Helder, Dennis L},
  journal={Remote sensing of environment},
  volume={113},
  number={5},
  pages={893--903},
  year={2009},
  publisher={Elsevier}
}

@article{keshava2003survey,
  title={A survey of spectral unmixing algorithms},
  author={Keshava, Nirmal},
  journal={Lincoln Laboratory Journal},
  volume={14},
  number={1},
  pages={55--78},
  year={2003},
  publisher={LINCOLN LABORATORY M IT}
}

@article{liang2001atmospheric,
  title={Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods},
  author={Liang, Shunlin and Fang, Hongliang and Chen, Mingzhen},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={39},
  number={11},
  pages={2490--2498},
  year={2001},
  publisher={IEEE}
}
@inproceedings{gao2006review,
  title={A review of atmospheric correction techniques for hyperspectral remote sensing of land surfaces and ocean color},
  author={Gao, B-C and Davis, C and Goetz, A},
  booktitle={Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on},
  pages={1979--1981},
  year={2006},
  organization={IEEE}
}

@article{pekel2016high,
  title={High-resolution mapping of global surface water and its long-term changes},
  author={Pekel, Jean-Fran{\c{c}}ois and Cottam, Andrew and Gorelick, Noel and Belward, Alan S},
  journal={Nature},
  year={2016},
  publisher={Nature Research}
}

@Article{donchyts2016earth,
  author    = {Donchyts, Gennadii and Baart, Fedor and Winsemius, Hessel and Gorelick, Noel and Kwadijk, Jaap and van de Giesen, Nick},
  title     = {Earth's surface water change over the past 30 years},
  journal   = {Nature Climate Change},
  year      = {2016},
  volume    = {6},
  number    = {9},
  pages     = {810--813},
  groups    = {PAPER Aqua Monitor},
  publisher = {Nature Research},
}

@Article{Barron2014,
  author   = {Barron, Christopher and Neis, Pascal and Zipf, Alexander},
  title    = {{A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis}},
  journal  = {Transactions in GIS},
  year     = {2014},
  volume   = {18},
  number   = {6},
  pages    = {877--895},
  issn     = {13611682},
  abstract = {OpenStreetMap (OSM) is one of the most popular examples of a Volunteered Geographic Information (VGI) project. In the past years it has become a serious alternative source for geodata. Since the quality of OSM data can vary strongly, different aspects have been investigated in several scientific studies. In most cases the data is compared with commercial or administrative datasets which, however, are not always accessible due to the lack of availability, contradictory licensing restrictions or high procurement costs. In this investigation a framework containing more than 25 methods and indicators is presented, allowing OSM quality assessments based solely on the data's history. Without the usage of a reference data set, approximate statements on OSM data quality are possible. For this purpose existing methods are taken up, developed further, and integrated into an extensible open source framework. This enables arbitrarily repeatable intrinsic OSM quality analyses for any part of the world.},
  doi      = {10.1111/tgis.12073},
  groups   = {PAPER OSM},
  url      = {http://doi.wiley.com/10.1111/tgis.12073},
}

@Misc{Beek2009,
  author  = {Beek, LPH Van and Bierkens, MFP},
  title   = {{The Global Hydrological Model PCR-GLOBWB: Conceptualization, Parameterization and Verification, Report Department of Physical Geography, Utrecht}},
  year    = {2009},
  groups  = {PAPER OSM},
  url     = {http://vanbeek.geo.uu.nl/suppinfo/vanbeekbierkens2009.pdf},
  urldate = {2016-04-10},
}

@Article{Bierkens2015,
  author        = {Bierkens, Marc F P},
  title         = {{Global hydrology 2015: State, trends, and directions}},
  journal       = {Water Resources Research},
  year          = {2015},
  volume        = {51},
  number        = {7},
  pages         = {4923--4947},
  issn          = {1944-7973},
  abstract      = {Global hydrology has come a long way since the first introduction of the primitive land surface model of Manabe (1969) and the declaration of the ?Emergence of Global Hydrology? by Eagleson (1986). Hydrological sub-models of varying complexity are now part of global climate models, of models calculating global terrestrial carbon sequestration, of earth system models and even of integrated assessment models. This paper reviews the current state of global hydrological modeling, discusses past and recent developments and extrapolates these to future challenges and directions. First, established domains of global hydrological model applications are discussed, in terms of societal and science questions posed, the type of models developed and recent advances therein. Next, a genealogy of global hydrological models is given. After reviewing recent efforts to connect model components from different domains, new domains are identified where global hydrology is now starting to become an integral part of the analyses. Finally, inspired by these new domains of application, persistent and emerging challenges are identified as well as the directions global hydrology is likely to take in the coming decade and beyond. This article is protected by copyright. All rights reserved.},
  archiveprefix = {arXiv},
  arxivid       = {10.1002/2014WR016527},
  doi           = {10.1002/2015WR017173},
  eprint        = {2014WR016527},
  groups        = {PAPER OSM},
  keywords      = {Global Hydrology,Review,Vegetation,Water Resources,climate,socio-hydrology},
  primaryclass  = {10.1002},
  url           = {http://dx.doi.org/10.1002/2015WR017173},
}

@Book{Breiman1984,
  title     = {{Classification and regression trees}},
  publisher = {Wadsworth Statistics/Probability},
  year      = {1984},
  author    = {Breiman, L and Friedman, J and Stone, CJ and Olshen, RA},
  edition   = {1st},
  groups    = {PAPER OSM},
  pages     = {368},
  url       = {https://scholar.google.nl/scholar?hl=en{\&}q=breiman+classification+regression{\&}btnG={\&}as{\_}sdt=1{\%}252C5{\&}as{\_}sdtp={\#}0},
}

@Misc{CrossmanSLi2015,
  author    = {{Crossman, S. {\&} Li}, O.},
  title     = {{Surface Hydrology Lines (Regional). 2 ed., Australia}},
  year      = {2015},
  address   = {Canberra.},
  groups    = {PAPER OSM},
  publisher = {Geoscience Australia,},
  url       = {http://www.ga.gov.au/metadata-gateway/metadata/record/83130},
  urldate   = {2016-04-05},
}


@Article{Eilander2014,
  author   = {Eilander, Dirk and Annor, Frank O. and Iannini, Lorenzo and van de Giesen, Nick},
  title    = {{Remotely sensed monitoring of small reservoir dynamics: A Bayesian approach}},
  journal  = {Remote Sensing},
  year     = {2014},
  volume   = {6},
  number   = {2},
  pages    = {1191--1210},
  issn     = {20724292},
  abstract = {Multipurpose small reservoirs are important for livelihoods in rural semi-arid regions. To manage and plan these reservoirs and to assess their hydrological impact at a river basin scale, it is important to monitor their water storage dynamics. This paper introduces a Bayesian approach for monitoring small reservoirs with radar satellite images. The newly developed growing Bayesian classifier has a high degree of automation, can readily be extended with auxiliary information and reduces the confusion error to the land-water boundary pixels. A case study has been performed in the Upper East Region of Ghana, based on Radarsat-2 data from November 2012 until April 2013. Results show that the growing Bayesian classifier can deal with the spatial and temporal variability in synthetic aperture radar (SAR) backscatter intensities from small reservoirs. Due to its ability to incorporate auxiliary information, the algorithm is able to delineate open water from SAR imagery with a low land-water contrast in the case of wind-induced Bragg scattering or limited vegetation on the land surrounding a small reservoir.},
  doi      = {10.3390/rs6021191},
  groups   = {PAPER OSM},
  isbn     = {2072-4292},
  keywords = {Backscatter analysis,Delineation,Image classification,Naive bayesian classification,Polarimetry,Remote sensing,SAR,Semi arid,Small reservoir},
}

@Article{Gao1996,
  author   = {Gao, Bo C.},
  title    = {{NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space}},
  journal  = {Remote Sensing of Environment},
  year     = {1996},
  volume   = {58},
  number   = {3},
  pages    = {257--266},
  issn     = {00344257},
  abstract = {The normalized difference vegetation index (NDVI) has been widely used for remote sensing of vegetation for many years. This index uses radiances or reflectances from a red channel around 0.66 ??m and a near-IR channel around 0.86 ??m. The red channel is located in the strong chlorophyll absorption region, while the near-IR channel is located in the high reflectance plateau of vegetation canopies. The two channels sense very different depths through vegetation canopies. In this article, another index, namely the normalized difference water index (NDWI), is proposed for remote sensing of vegetation liquid water from space. NDWI is defined as (p(0.86 ??m) - ??(1.24 ??m))/(??(0.86 ??m) + ??(1.24 ??m)), where ?? represents the radiance in reflectance units. Both the 0.86-??m and the 1.24-??m channels are located in the high reflectance plateau of vegetation canopies. They sense similar depths through vegetation canopies. They sense similar depths through vegetation canopies. Absorption by vegetation liquid water near 0.86 ??m is negligible. Weak liquid absorption at 1.24 ??m is present. Canopy scattering enhances the water absorption. As a result, NDWI is sensitive to changes in liquid water content of vegetation canopies. Atmospheric aerosol scattering effects in the 0.86-1.24 ??m region are weak. NDWI is less sensitive to atmospheric effects than NDVI. NDWI does not remove completely the background soil reflectance effects, similar to NDVI. Because the information about vegetation canopies contained in the 1.24-??m channel is very different from that contained in the red channel near 0.66 ??m. NDWI should be considered as an independent vegetation index. It is complementary to, not a substitute for NDVI. Laboratory-measured reflectance of stacked green leaves, and spectral imaging data acquired with Airborne Visible Infrared Imaging Spectrometer (AVIRIS) over Jasper Ridge in California and the High Plains in northern Colorado, are used to demonstrate the usefulness of NDWI. Comparisons between NDWI and NDVI images are also given.},
  doi      = {10.1016/S0034-4257(96)00067-3},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  pmid     = {728},
}

@Article{Girres2010,
  author   = {Girres, Jean Fran{\c{c}}ois and Touya, Guillaume},
  title    = {{Quality Assessment of the French OpenStreetMap Dataset}},
  journal  = {Transactions in GIS},
  year     = {2010},
  volume   = {14},
  number   = {4},
  pages    = {435--459},
  issn     = {13611682},
  abstract = {The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users. Spatial data quality becomes a key consideration in this context of freely downloadable geographic databases. This article studies the quality of French OpenStreetMap data. It extends the work of Haklay to France, provides a larger set of spatial data quality element assessments (i.e. geometric, attribute, semantic and temporal accuracy, logical con- sistency, completeness, lineage, and usage), and uses different methods of quality control. The outcome of the study raises questions such as the heterogeneity of processes, scales of production, and the compliance to standardized and accepted specifications. In order to improve data quality, a balance has to be struck between the contributors' freedom and their respect of specifications. The development of appropriate solutions to provide this balance is an important research issue in the domain of user-generated content.},
  doi      = {10.1111/j.1467-9671.2010.01203.x},
  groups   = {PAPER OSM},
  isbn     = {1361-1682},
}

@Article{Gleason2014,
  author   = {Gleason, Colin J. and Smith, Laurence C.},
  title    = {{Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry}},
  journal  = {Proceedings of the National Academy of Sciences},
  year     = {2014},
  volume   = {111},
  number   = {13},
  pages    = {4788--4791},
  month    = {apr},
  issn     = {0027-8424},
  abstract = {Rivers provide critical water supply for many human societies and ecosystems, yet global knowledge of their flow rates is poor. We show that useful estimates of absolute river discharge (in cubic meters per second) may be derived solely from satellite images, with no ground-based or a priori information whatsoever. The approach works owing to discovery of a characteristic scaling law uniquely fundamental to natural rivers, here termed a river's at-many-stations hydraulic geometry. A first demonstration using Landsat Thematic Mapper images over three rivers in the United States, Canada, and China yields absolute discharges agreeing to within 20-30{\%} of traditional in situ gauging station measurements and good tracking of flow changes over time. Within such accuracies, the door appears open for quantifying river resources globally with repeat imaging, both retroactively and henceforth into the future, with strong implications for water resource management, food security, ecosystem studies, flood forecasting, and geopolitics.},
  doi      = {10.1073/pnas.1317606111},
  file     = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Gleason, Smith - 2014 - Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry.pdf:pdf},
  groups   = {PAPER OSM},
  keywords = {Conservation of Natural Resources,Feasibility Studies,Geological Phenomena,Humans,Hydrodynamics,Internationality,Models, Theoretical,Rivers,Satellite Communications,Water,Water Supply},
  pmid     = {24639551},
  url      = {http://www.pnas.org/content/111/13/4788.abstract},
}

@Article{Goodchild1997,
  author   = {Goodchild, Michael F. and Hunter, Gary J.},
  title    = {{A simple positional accuracy measure for linear features}},
  journal  = {International Journal of Geographical Information Science},
  year     = {1997},
  volume   = {11},
  number   = {3},
  pages    = {299--306},
  issn     = {1365-8816},
  abstract = {In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.},
  doi      = {10.1080/136588197242419},
  groups   = {PAPER OSM},
  isbn     = {1365-8816},
}

@inproceedings{donchyts2017slic,
  author   = {Donchyts, Gennadii},
  title    = {{Fast segmentation of satellite images using SLIC, WebGL and Google Earth Engine}},
  journal  = {EGU 2017 Meeting Abstracts},
  year     = {2017},
  volume   = {19},   
  pages    = {18283},
  url      = {https://www.researchgate.net/publication/316608607_Segmentation_of_satellite_images_using_SLIC_and_Google_Earth_Engine},
}

@Article{Gorelick2012,
  author   = {Gorelick, Noel},
  title    = {{Google Earth Engine}},
  journal  = {AGU Fall Meeting Abstracts},
  year     = {2012},
  volume   = {15},
  pages    = {11997},
  abstract = {A planetary-scale platform for environmental data {\&} analysis$\backslash$n$\backslash$nGoogle Earth Engine brings together the world's satellite imagery ? trillions of scientific measurements dating back more than 25 years ? and makes it available online with tools for scientists, independent researchers, and nations to mine this massive warehouse of data to detect changes, map trends and quantify differences on the earth's surface.$\backslash$n$\backslash$nUsing the Earth Engine platform, we are helping scientists develop applications for detecting deforestation and mapping land use trends. We are also working with individual countries to develop their own applications.$\backslash$n$\backslash$nView product videos or our Map Gallery to learn more or visit the Data Catalog to get started. Certain features, such as data download, are restricted to members of our trusted tester program.},
  groups   = {PAPER OSM},
  url      = {http://adsabs.harvard.edu/abs/2012AGUFM.U31A..04G},
}

@Article{Haklay2010,
  author   = {Haklay, Mordechai},
  title    = {{How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets}},
  journal  = {Environment and Planning B: Planning and Design},
  year     = {2010},
  volume   = {37},
  number   = {4},
  pages    = {pp. 682--703},
  issn     = {02658135},
  abstract = {Within the framework of Web 2.0 mapping applications, the most striking example of a geographical application is the OpenStreetMap (OSM) project. OSM aims to create a free digital map of the world and is implemented through the engagement of participants in a mode similar to software development in Open Source projects. The information is collected by many participants, collated on a central database, and distributed in multiple digital formats through the World Wide Web. This type of information was termed 'Volunteered Geographical Information' (VG!) by Goodchild, 2007. However, to date there has been no systematic analysis of the quality of VGI. This study aims to fill this gap by analysing OSM information. The examination focuses on analysis of its quality through a comparison with Ordnance Survey (OS) datasets. The analysis focuses on London and England, since OSM started in London in August 2004 and therefore the study of these geographies provides the best understanding of the achievements and difficulties of VGI. The analysis shows that OSM information can be fairly accurate: on average within about 6 m of the position recorded by the OS, and with approximately 80{\%} overlap of motorway objects between the two datasets. In the space of four years, OSM has captured about 29{\%} of the area of England, of which approximately 24{\%} are digitised lines without a complete set of attributes. The paper concludes with a discussion of the implications of the findings to the study of VGI as well as suggesting future research directions.},
  doi      = {10.1068/b35097},
  groups   = {PAPER OSM},
  isbn     = {0265-8135},
}

@Article{Hansen2013,
  author        = {Hansen, M C and Potapov, P V and Moore, R and Hancher, M and Turubanova, S a and Tyukavina, a and Thau, D and Stehman, S V and Goetz, S J and Loveland, T R and Kommareddy, a and Egorov, a and Chini, L and Justice, C O and Townshend, J R G},
  title         = {{High-resolution global maps of 21st-century forest cover change.}},
  journal       = {Science (New York, N.Y.)},
  year          = {2013},
  volume        = {342},
  number        = {6160},
  pages         = {850--3},
  issn          = {1095-9203},
  abstract      = {Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.},
  archiveprefix = {arXiv},
  arxivid       = {1011.1669v3},
  doi           = {10.1126/science.1244693},
  eprint        = {1011.1669v3},
  groups        = {PAPER OSM},
  isbn          = {1095-9203 (Electronic)$\backslash$n0036-8075 (Linking)},
  keywords      = {Brazil,Conservation of Natural Resources,Geographic Mapping,Indonesia,Maps as Topic,Trees},
  pmid          = {24233722},
  url           = {http://www.ncbi.nlm.nih.gov/pubmed/24233722},
}

@Article{Ji2009,
  author   = {Ji, Lei and Zhang, Li and Wylie, Bruce},
  title    = {{Analysis of Dynamic Thresholds for the Normalized Difference Water Index}},
  journal  = {Photogrammetric Engineering {\&} Remote Sensing},
  year     = {2009},
  volume   = {75},
  number   = {11},
  pages    = {1307--1317},
  issn     = {0099-1112},
  abstract = {The normalized difference water index (NDWI) has been successfully used to delineate surface water features. However, two major problems have been often encountered: (a) NDWIs calculated from different band combinations [visible, nearinfrared, or shortwave-infrared (SWIR)] can generate different results, and (b) NDWIthresholds vary depending on the proportions of subpixel water/non-water components. We need to evaluate all the NDWIs for determining the best performing index and to establish appropriate thresholds for clearly identifying water features. We used the spectral data obtained from a spectral library to simulate the satellite sensors Landsat ETM, SPOT-5, ASTER,and MODIS,and calculated the simulated NDWIin different forms. We found that the NDWIcalculated from (green ? SWIR)/(green SWIR), where SWIRis the shorter wavelength region (1.2 to 1.8 mm), has the most stable threshold. We recommend this NDWIbe employed for mapping water, but adjustment of the threshold based on actual situations is necessary},
  doi      = {10.14358/PERS.75.11.1307},
  groups   = {PAPER OSM},
  isbn     = {0099-1112},
  keywords = {Photogrammetric Engineering {\&} Remote Sensing$\backslash$nVol.},
  url      = {http://essential.metapress.com/openurl.asp?genre=article{\&}id=doi:10.14358/PERS.75.11.1307},
}

@Article{Karssenberg2010,
  author  = {Karssenberg, D and Schmitz, O},
  title   = {{A software framework for construction of process-based stochastic spatio-temporal models and data assimilation}},
  journal = {Environmental Modelling {\&} Software},
  year    = {2010},
  volume  = {25},
  number  = {4},
  pages   = {489--502},
  groups  = {PAPER OSM},
  url     = {http://www.sciencedirect.com/science/article/pii/S1364815209002643},
}

@Article{Lehner2013,
  author  = {Lehner, B and Grill, G},
  title   = {{Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems}},
  journal = {Hydrological Processes},
  year    = {2013},
  volume  = {27},
  number  = {15},
  pages   = {2171--2186},
  groups  = {PAPER OSM},
  url     = {http://onlinelibrary.wiley.com/doi/10.1002/hyp.9740/full},
}

@Article{Lehner2008,
  author   = {Lehner, Bernhard and Verdin, Kristine and Jarvis, Andy},
  title    = {{New global hydrography derived from spaceborne elevation data}},
  journal  = {Eos},
  year     = {2008},
  volume   = {89},
  number   = {10},
  pages    = {93--94},
  issn     = {00963941},
  abstract = {To study the Earth system and to better understand the implications of global environmental change, there is a growing need for large-scale hydrographic data sets that serve as prerequisites in a variety of analyses and applications, ranging from regional watershed and freshwater conservation planning to global hydrological, climate, biogeochemical, and land surface modeling. Yet while countless hydrographic maps exist for well-known river basins and individual nations, there is a lack of seamless high-quality data on large scales such as continents or the entire globe. Data for many large international basins are patchy, and remote areas are often poorly mapped.In response to these limitations, a team of scientists has developed data and created maps of the world's rivers that provide the research community with more reliable information about where streams and watersheds occur on the Earth's surface and how water drains the landscape. The new product, known as HydroSHEDS (Hydrological Data and Maps Based on Shuttle Elevation Derivatives at Multiple Scales), provides this information at a resolution and quality unachieved by previous global data sets, such as HYDRO1k [U.S. Geological Survey (USGS), 2000].},
  doi      = {10.1029/2008EO100001},
  groups   = {PAPER OSM},
  isbn     = {0096-3941},
}

@Article{Li2013,
  author   = {Li, Wenbo and Du, Zhiqiang and Ling, Feng and Zhou, Dongbo and Wang, Hailei and Gui, Yuanmiao and Sun, Bingyu and Zhang, Xiaoming},
  title    = {{A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI}},
  journal  = {Remote Sensing},
  year     = {2013},
  volume   = {5},
  number   = {11},
  pages    = {5530--5549},
  issn     = {20724292},
  abstract = {Remote sensing has more advantages than the traditional methods of land surface water (LSW) mapping because it is a low-cost, reliable information source that is capable of making high-frequency and repeatable observations. The normalized difference water indexes (NDWIs), calculated from various band combinations (green, near-infrared (NIR), or shortwave-infrared (SWIR)), have been successfully applied to LSW mapping. $\backslash$r$\backslash$nIn fact, new NDWIs will become available when Advanced Land Imager (ALI) data are used as the ALI sensor provides one green band (Band 4), two NIR bands (Bands 6 and 7), and three SWIR bands (Bands 8, 9, and 10). Thus, selecting the optimal band or combination of bands is critical when ALI data are employed to map LSW using NDWI. The purpose of this paper is to find the best performing NDWI model of the ALI data in LSW map. In this study, eleven NDWI models based on ALI, Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) data were compared to assess the performance of ALI data in LSW mapping, at three different study sites in the Yangtze River Basin, China. The contrast method, Otsu method, and confusion matrix were calculated to evaluate the accuracies of the LSW maps. The accuracies of LSW maps derived from eleven NDWI models showed that five NDWI models of the ALI sensor have more than an overall accuracy of 91{\%} with a Kappa coefficient of 0.78 of LSW maps at three test sites. In addition, the NDWI model, calculated from the green (Band 4: 0.525?0.605 $\mu$m) and SWIR (Band 9: 1.550?1.750 $\mu$m) bands of the ALI sensor, namely NDWIA4,9, was shown to have the highest LSW mapping accuracy, more than the other NDWI models. Therefore, the NDWIA4,9 is the best indicator for LSW mapping of the ALI sensor. It can be used for mapping LSW with high accuracy.},
  doi      = {10.3390/rs5115530},
  file     = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Li et al. - 2013 - A comparison of land surface water mapping using the normalized difference water index from TM, ETM and ALI(7).pdf:pdf},
  groups   = {PAPER OSM},
  isbn     = {2072-4292},
  keywords = {Advanced land imager (ALI),Image segmentation,Land surface water mapping,Landsat,Normalized difference water index,Remote sensing},
}

@Article{Liao2001,
  author   = {Liao, P. S. and Chen, T. S. and Chung, P. C.},
  title    = {{A fast algorithm for multilevel thresholding}},
  journal  = {Journal of Information Science and Engineering},
  year     = {2001},
  volume   = {17},
  number   = {5},
  pages    = {713--727},
  issn     = {10162364},
  abstract = {Otsu reference proposed a criterion for maximizing the between-class variance of pixel intensity to perform picture thresholding. However, Otsu's method for image segmentation is very time-consuming because of the inefficient formulation of the between-class variance. In this paper, a faster version of Otsu's method is proposed for improving the efficiency of computation for the optimal thresholds of an image. First, a criterion for maximizing a modified between-class variance that is equivalent to the criterion of maximizing the usual between-class variance is proposed for image segmen- tation. Next, in accordance with the new criterion, a recursive algorithm is designed to efficiently find the optimal threshold. This procedure yields the same set of thresholds as the original method. In addition, the modified between-class variance can be pre-computed and stored in a look-up table. Our analysis of the new criterion clearly shows that it takes less computation to compute both the cumulative probability (zeroth order moment) and the mean (first order moment) of a class, and that determining the modified between-class variance by accessing a look-up table is quicker than that by performing mathematical arithmetic operations. For example, the experimental results of a five-level threshold selection show that our proposed method can reduce down the processing time from more than one hour by the conventional Otsu's method to less than 107 seconds.},
  groups   = {PAPER OSM},
  isbn     = {1016-2364},
  keywords = {Image segmentation,Multilevel thresholding,Otsu's thresholding,Picture thresholding,Recursive algorithm},
}

@Article{Liu2009,
  author   = {Liu, Dongju and Yu, Jian},
  title    = {{Otsu method and K-means}},
  journal  = {Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009},
  year     = {2009},
  volume   = {1},
  number   = {2},
  pages    = {344--349},
  abstract = {Otsu method is one of the most successful methods for image thresholding. This paper proves that the objective function of Otsu method is equivalent to that of K-means method in multilevel thresholding . They are both based on a same criterion that minimizes the within-class variance. However, Otsu method is an exhaustive algorithm of searching the global optimal threshold, while K-means is a local optimal method. Moreover, K-means does not require computing a gray-level histogram before running, but Otsu method needs to compute a gray-level histogram firstly. Therefore, K-means can be more efficiently extended to multilevel thresholding method, two-dimensional thresholding method and three-dimensional method than Otsu method. This paper proved that the clustering results of K-means keep the order of the initial centroids with respect to one-dimensional data set. The experiments show that the k-means thresholding method performs well with less computing time than Otsu method does on three dimensional image thresholding.},
  doi      = {10.1109/HIS.2009.74},
  groups   = {PAPER OSM},
  isbn     = {9780769537450},
  keywords = {K-mean,K-means thresholding,Otsu method,Three-dimensional thresholding,Two-dimensional thresholding},
}

@Book{Maidment2002,
  title     = {{Arc Hydro: GIS for water resources}},
  publisher = {ESRI press: Redlands, USA},
  year      = {2002},
  author    = {Maidment, DR},
  isbn      = {978-1589480346},
  groups    = {PAPER OSM},
  url       = {https://books.google.nl/books?hl=en{\&}lr={\&}id=07vH7Sf0v6MC{\&}oi=fnd{\&}pg=PP7{\&}dq=Arc+Hydro:+GIS+for+Water+Resources{\&}ots=aiNCCychkw{\&}sig=5zg5v6pB1nX-nimifmQCSX0hWI4},
}

@Article{Manfreda2014,
  author  = {Manfreda, Salvatore and Nardi, Fernando and Samela, Caterina and Grimaldi, Salvatore and Taramasso, Angela Celeste and Roth, Giorgio and Sole, Aurelia},
  title   = {{Investigation on the use of geomorphic approaches for the delineation of flood prone areas}},
  journal = {Journal of Hydrology},
  year    = {2014},
  volume  = {517},
  pages   = {863--876},
  file    = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Manfreda, Nardi, Samela - 2014 - Investigation on the use of geomorphic approaches for the delineation of flood prone areas(2).pdf:pdf},
  groups  = {PAPER OSM},
  url     = {http://www.sciencedirect.com/science/article/pii/S0022169414004697},
}

@Article{McFeeters1996,
  author   = {McFeeters, S. K.},
  title    = {{The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features}},
  journal  = {International Journal of Remote Sensing},
  year     = {1996},
  volume   = {17},
  number   = {7},
  pages    = {1425--1432},
  issn     = {0143-1161},
  abstract = {The Normalized Difference Water Index (NDWI) is a new method that has been developed to delineate open water features and enhance their presence in remotely-sensed digital imagery. The NDWI makes use of reflected near-infrared radiation and visible green light to enhance the presence of such features while eliminating the presence of soil and terrestrial vegetation features. It is suggested that the NDWI may also provide researchers with turbidity estimations of water bodies using remotely-sensed digital data.},
  doi      = {10.1080/01431169608948714},
  groups   = {PAPER OSM},
  isbn     = {0143-1161},
  pmid     = {729},
}

@Article{Mooney2010,
  author   = {Mooney, Peter and Corcoran, Padraig and Winstanley, Adam C},
  title    = {{Towards quality metrics for OpenStreetMap}},
  journal  = {Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems GIS 10},
  year     = {2010},
  pages    = {514--517},
  abstract = {Volunteered Geographic Information (VGI) is currently a "hot topic" in the GIS community. The OpenStreetMap (OSM) project is one of the most popular and well supported examples of VGI. Traditional measures of spatial data quality are often not applicable to OSM as in many cases it is not possible to access ground-truth spatial data for all regions mapped by OSM. We investigate to develop measures of quality for OSM which operate in an unsupervised manner without reference to a "trusted" source of ground-truth data. We provide results of analysis of OSM data from several European countries. The results highlight specific quality issues in OSM. Results of comparing OSM with ground-truth data for Ireland are also presented. 2010 ACM.},
  doi      = {10.1145/1869790.1869875},
  groups   = {PAPER OSM},
  isbn     = {9781450304283},
  keywords = {openstreetmap,quality spatial data,shape representation},
  url      = {http://portal.acm.org/citation.cfm?doid=1869790.1869875},
}

@Article{Mueller2015,
  author   = {Mueller, N. and Lewis, A. and Roberts, D. and Ring, S. and Melrose, R. and Sixsmith, J. and Lymburner, L. and McIntyre, A. and Tan, P. and Curnow, S. and Ip, A.},
  title    = {{Water observations from space: Mapping surface water from 25years of Landsat imagery across Australia}},
  journal  = {Remote Sensing of Environment},
  year     = {2015},
  volume   = {174},
  pages    = {341--352},
  month    = {nov},
  issn     = {00344257},
  abstract = {Following extreme flooding in eastern Australia in 2011, the Australian Government established a programme to improve access to flood information across Australia. As part of this, a project was undertaken to map the extent of surface water across Australia using the multi-decadal archive of Landsat satellite imagery. A water detection algorithm was used based on a decision tree classifier, and a comparison methodology using a logistic regression. This approach provided an understanding of the confidence in the water observations. The results were used to map the presence of surface water across the entire continent from every observation of 27years of satellite imagery. The Water Observation from Space (WOfS) product provides insight into the behaviour of surface water across Australia through time, demonstrating where water is persistent, such as in reservoirs, and where it is ephemeral, such as on floodplains during a flood. In addition the WOfS product is useful for studies of wetland extent, aquatic species behaviour, hydrological models, land surface process modelling and groundwater recharge. This paper describes the WOfS methodology and shows how similar time-series analyses of nationally significant environmental variables might be conducted at the continental scale.},
  doi      = {10.1016/j.rse.2015.11.003},
  file     = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Mueller et al. - 2015 - Water observations from space Mapping surface water from 25years of Landsat imagery across Australia.pdf:pdf},
  groups   = {PAPER OSM},
  keywords = {Flood,Landsat,Surface water,Time series,Water resources},
  url      = {http://www.sciencedirect.com/science/article/pii/S0034425715301929},
}

@Article{Nobre2016,
  author  = {Nobre, Antonio Donato and Cuartas, Luz Adriana and Momo, Marcos Rodrigo and Severo, Dirceu Luis and Pinheiro, Adilson and Nobre, Carlos Afonso},
  title   = {{HAND contour: a new proxy predictor of inundation extent}},
  journal = {Hydrological Processes},
  year    = {2016},
  volume  = {30},
  number  = {2},
  pages   = {320--333},
  groups  = {PAPER OSM},
  url     = {http://onlinelibrary.wiley.com/doi/10.1002/hyp.10581/full},
}

@Article{OCallaghan1984,
  author  = {O'Callaghan, JF and Mark, DM},
  title   = {{The extraction of drainage networks from digital elevation data}},
  journal = {Computer Vision, Graphics, and Image Processing},
  year    = {1984},
  volume  = {28},
  number  = {3},
  pages   = {323--344},
  groups  = {PAPER OSM},
  url     = {http://www.sciencedirect.com/science/article/pii/S0734189X84800110},
}

@Article{Potapov2012,
  author   = {Potapov, Peter V. and Turubanova, Svetlana a. and Hansen, Matthew C. and Adusei, Bernard and Broich, Mark and Altstatt, Alice and Mane, Landing and Justice, Christopher O.},
  title    = {{Quantifying forest cover loss in Democratic Republic of the Congo, 2000-2010, with Landsat ETM+ data}},
  journal  = {Remote Sensing of Environment},
  year     = {2012},
  volume   = {122},
  pages    = {106--116},
  issn     = {00344257},
  abstract = {Forest cover and forest cover loss for the last decade, 2000-2010, have been quantified for the Democratic Republic of the Congo (DRC) using Landsat time-series data set. This was made possible via an exhaustive mining of the Landsat Enhanced Thematic Mapper Plus (ETM. +) archive. A total of 8881 images were processed to create multi-temporal image metrics resulting in 99.6{\%} of the DRC land area covered by cloud-free Landsat observations. To facilitate image compositing, a top-of-atmosphere (TOA) reflectance calibration and image normalization using Moderate Resolution Imaging Spectroradiometer (MODIS) top of canopy (TOC) reflectance data sets were performed. Mapping and change detection was implemented using a classification tree algorithm. The national year 2000 forest cover was estimated to be 159,529.2. thousand hectares, with gross forest cover loss for the last decade totaling 2.3{\%} of forest area. Forest cover loss area increased by 13.8{\%} between the 2000-2005 and 2005-2010 intervals, with the greatest increase occurring within primary humid tropical forests. Forest loss intensity was distributed unevenly and associated with areas of high population density and mining activity. While forest cover loss is comparatively low in protected areas and priority conservation landscapes compared to forests outside of such areas, gross forest cover loss for all nature protection areas increased by 64{\%} over the 2000 to 2005 and 2005 to 2010 intervals. ?? 2012 Elsevier Inc.},
  doi      = {10.1016/j.rse.2011.08.027},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  keywords = {Congo,Forest cover,Forest cover loss,Landsat},
  url      = {http://dx.doi.org/10.1016/j.rse.2011.08.027},
}

@Article{Rodriguez2006,
  author   = {Rodriguez, E and Morris, Cs and Belz, Je},
  title    = {{An assessment of the SRTM topographic products}},
  journal  = {Photogrammetric Engineering and Remote Sensing},
  year     = {2006},
  volume   = {72},
  number   = {3},
  pages    = {249--260},
  abstract = {The NASA/NIMA (now NGA) Shuttle Radar TopographyMission (SRTM) collected interferometric radar data which has been used by JPL to generate a near-global topography data product for latitudes smaller than 60. As part of the SRTM mission, an extensive global ground campaign was conducted by NIMA/NGA and NASA to collect ground-truth which would allow for the global validation of this unique data set. This report presents a detailed description of how the results in this table were obtained. It also presents detailed characterization of the different components of the error, their magnitudes, and spatial structure.},
  doi      = {0099-1112/06/7203?0249/$3.00/0},
  groups   = {PAPER OSM},
  isbn     = {D31639},
}

@Article{Roy2014,
  author   = {Roy, D. P. and Wulder, M. a. and Loveland, T. R. and C.E., Woodcock and Allen, R. G. and Anderson, M. C. and Helder, D. and Irons, J. R. and Johnson, D. M. and Kennedy, R. and Scambos, T. a. and Schaaf, C. B. and Schott, J. R. and Sheng, Y. and Vermote, E. F. and Belward, a. S. and Bindschadler, R. and Cohen, W. B. and Gao, F. and Hipple, J. D. and Hostert, P. and Huntington, J. and Justice, C. O. and Kilic, a. and Kovalskyy, V. and Lee, Z. P. and Lymburner, L. and Masek, J. G. and McCorkel, J. and Shuai, Y. and Trezza, R. and Vogelmann, J. and Wynne, R. H. and Zhu, Z.},
  title    = {{Landsat-8: Science and product vision for terrestrial global change research}},
  journal  = {Remote Sensing of Environment},
  year     = {2014},
  volume   = {145},
  pages    = {154--172},
  issn     = {00344257},
  abstract = {Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40. year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, improved sensor signal-to-noise performance and associated improvements in radiometric resolution, and an improved duty cycle that allows collection of a significantly greater number of images per day. This paper introduces the current (2012-2017) Landsat Science Team's efforts to establish an initial understanding of Landsat 8 capabilities and the steps ahead in support of priorities identified by the team. Preliminary evaluation of Landsat 8 capabilities and identification of new science and applications opportunities are described with respect to calibration and radiometric characterization; surface reflectance; surface albedo; surface temperature, evapotranspiration and drought; agriculture; land cover, condition, disturbance and change; fresh and coastal water; and snow and ice. Insights into the development of derived 'higher-level' Landsat products are provided in recognition of the growing need for consistently processed, moderate spatial resolution, large area, long-term terrestrial data records for resource management and for climate and global change studies. The paper concludes with future prospects, emphasizing the opportunities for land imaging constellations by combining Landsat data with data collected from other international sensing systems, and consideration of successor Landsat mission requirements. {\textcopyright} 2014.},
  doi      = {10.1016/j.rse.2014.02.001},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  keywords = {Landsat 8,Landsat Science Team,OLI,TIRS},
  url      = {http://dx.doi.org/10.1016/j.rse.2014.02.001},
}

@Article{Schellekens2014,
  author   = {Schellekens, J. and Brolsma, R.J. and Dahm, R.J. and Donchyts, G.V. and Winsemius, H.C.},
  title    = {{Rapid setup of hydrological and hydraulic models using OpenStreetMap and the SRTM derived digital elevation model}},
  journal  = {Environmental Modelling {\&} Software},
  year     = {2014},
  volume   = {61},
  pages    = {98--105},
  issn     = {13648152},
  abstract = {A stepwise procedure has been developed in Python to extract information from OpenStreetMap (OSM) for hydrological and hydraulic models using existing and newly developed tools. The procedure focuses on the extraction of paved areas and water bodies. Road density is used to fill in gaps in OSM polygon coverage. Furthermore, it includes automatic downloading of Shuttle Radar Topography Mission (SRTM) elevation data and improving the elevation model with man-made landscape features such as elevated roads that are sampled from OSM. This is useful for hydraulic modelling in data scarce flood plain areas, where sharp elevation differences are dominated by man-made elevated elements. Test cases in Europe, South East Asia and East Africa demonstrate the potential of the procedure, although large differences in completeness of OSM coverage suggest it is best used in combination with other data sources.},
  doi      = {10.1016/j.envsoft.2014.07.006},
  groups   = {PAPER OSM},
  isbn     = {3188335822},
  keywords = {Hydrological models,OpenStreetMap,Rapid assessment tools},
  url      = {http://www.sciencedirect.com/science/article/pii/S1364815214002072},
}

@Book{Serra1982,
  title     = {{Image Analysis and Mathematical Morphology}},
  year      = {1982},
  author    = {Serra, J.},
  volume    = {1},
  number    = {2},
  isbn      = {0126372403},
  abstract  = {Livre tr s int ressant tous points de vue, bien qu'un peu trop matheux, et contenant les bases de la m thodologie propre la morphologie math matique. (Karl Tombre).},
  booktitle = {ICASSP88 International Conference on Acoustics Speech and Signal Processing},
  doi       = {10.2307/2531038},
  groups    = {PAPER OSM},
  issn      = {0006341X},
  pages     = {610},
  url       = {http://dx.doi.org/10.1016/j.procir.2013.08.008},
}

@Article{Tarboton1997,
  author   = {Tarboton, David G.},
  title    = {{A new method for the determination of flow directions and upslope areas in grid digital elevation models}},
  journal  = {Water Resources Research},
  year     = {1997},
  volume   = {33},
  number   = {2},
  pages    = {309},
  issn     = {0043-1397},
  abstract = {A new procedure for the representation of flow directions and calculation of upslope areas using rectangular grid digital elevation models is presented. The procedure is based on representing flow direction as a single angle taken as the steepest downward slope on the eight triangular facets centered at each grid point. Upslope area is then calculated by proportioning flow between two downslope pixels according to how close this flow direction is to the direct angle to the downslope pixel. This procedure offers improvements over prior procedures that have restricted flow to eight possible directions (introducing grid bia) or proportioned flow according to slope (introducing unrealistic dispersion). The new procedure is more robust than prior procedures based on fitting local planes while retaining a simple grid based structure. Detailed algorithms are presented and results are demonstrated through test examples and application to digital elevation data sets.},
  doi      = {10.1029/96WR03137},
  groups   = {PAPER OSM},
  isbn     = {0043-1397},
  keywords = {http://dx.doi.org/10.1029/96WR03137, doi:10.1029/9},
}

@Article{Tucker1979,
  author   = {Tucker, Compton J.},
  title    = {{Red and photographic infrared linear combinations for monitoring vegetation}},
  journal  = {Remote Sensing of Environment},
  year     = {1979},
  volume   = {8},
  number   = {2},
  pages    = {127--150},
  issn     = {00344257},
  abstract = {In situ collected spectrometer data were used to evaluate and quantify the relationships between various linear combinations of red and photographic infrared radiances and experimental plot biomass, leaf water content, and chlorophyll content. The radiance variables evaluated included the red and photographic infrared (IR) radiance and the linear combinations of the IR/red ratio, the square root of the IR/red ratio, the IR-red difference, the vegetation index, and the transformed vegetation index. In addition, the corresponding green and red linear combinations were evaluated for comparative purposes. Three data sets were used from June, September, and October sampling periods. Regression analysis showed the increased utility of the IR and red linear combinations vis-??-vis the same green and red linear combinations. The red and IR linear combinations had 7{\%} and 14{\%} greater regression significance than the green and red linear combinations for the June and September sampling periods, respectively. The vegetation index, transformed vegetation index, and square root of the IR/red ratio were the most significant, followed closely by the IR/red ratio. Less than a 6{\%} difference separated the highest and lowest of these four ER and red linear combinations. The use of these linear combinations was shown to be sensitive primarily to the green leaf area or green leaf biomass. As such, these linear combinations of the red and photographic IR radiances can be employed to monitor the photosynthetically active biomass of plant canopies. ?? 1979.},
  doi      = {10.1016/0034-4257(79)90013-0},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  pmid     = {175},
}

@Article{Xu2006,
  author   = {Xu, Hanqiu},
  title    = {{Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery}},
  journal  = {International Journal of Remote Sensing},
  year     = {2006},
  volume   = {27},
  number   = {14},
  pages    = {3025--3033},
  issn     = {0143-1161},
  abstract = {The normalized difference water index (NDWI) of McFeeters (1996) was modified by substitution of a middle infrared band such as Landsat TM band 5 for the near infrared band used in the NDWI. The modified NDWI (MNDWI) can enhance open water features while efficiently suppressing and even removing built-up land noise as well as vegetation and soil noise. The enhanced water information using the NDWI is often mixed with built-up land noise and the area of extracted water is thus overestimated. Accordingly, the MNDWI is more suitable for enhancing and extracting water information for a water region with a background dominated by built-up land areas because of its advantage in reducing and even removing built-up land noise over the NDWI.},
  doi      = {10.1080/01431160600589179},
  groups   = {PAPER OSM},
  isbn     = {0143-1161},
}

@Article{Yang2014,
  author   = {Yang, Kang and Li, Manchun and Liu, Yongxue and Cheng, Liang and Duan, Yuewei and Zhou, Minxi},
  title    = {{River Delineation from Remotely Sensed Imagery Using a Multi-Scale Classification Approach}},
  journal  = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year     = {2014},
  volume   = {7},
  number   = {12},
  pages    = {4726--4737},
  issn     = {1939-1404},
  abstract = {River delineation is an initial yet critical step in river studies. Although the analysis of satellite images shows great potential in river delineation, only a few approaches have been developed. These methods usually focus on rivers at mono-scale and may ignore the large variations in river size. In particular, they may fail to capture the small rivers in the imagery. This paper presents a novel automated multi-scale procedure for delineating complete river networks. This method classifies the large and small rivers separately and combines the two classified results to generate the final delineated river networks. First, a modified normalized difference water index (MNDWI) is adapted to enhance the spectral contrast between open water and land surfaces. Second, a simple OTSU classification is used to delineate the large rivers. Next, a top-hat transformation and multi-scale matched filters are used to enhance the small linear rivers. Then, the OTSU classification is conducted again to delineate the small linear rivers, in concert with a multi-points fast marching method to rejoin the resulting river segments. Finally, the complete river networks are delineated by combining the small and large rivers. A comparison of this procedure with manual digitization when applied to two Landsat-5 TM images demonstrates the former procedure's value in delineating rivers. It achieves accurate results and outperforms the other three alternative approaches (large river classification, maximum likelihood classifier, and support vector machine classifier) in accuracy, true positive rate, and Kappa coefficient, while also yielding a comparable false positive rate.},
  doi      = {10.1109/JSTARS.2014.2309707},
  groups   = {PAPER OSM},
  isbn     = {1939-1404},
  keywords = {Earth,Fast marching,Image segmentation,Noise,Production,Remote sensing,Rivers,Satellites,matched filter,multi-scale analysis,normalized difference water index (NDWI),river delineation},
  url      = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6777572},
}

@Article{Zhu2014,
  author   = {Zhu, Zhe and Woodcock, Curtis E.},
  title    = {{Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change}},
  journal  = {Remote Sensing of Environment},
  year     = {2014},
  volume   = {152},
  pages    = {217--234},
  issn     = {00344257},
  abstract = {We developed a new algorithm called Tmask (multiTemporal mask) for automated masking of cloud, cloud shadow, and snow for multitemporal Landsat images. This algorithm consists of two steps. The first step is based on a single-date algorithm called Fmask (Function of mask) that initially screens most of the clouds, cloud shadows, and snow. The second step benefits from the extra temporal information from the remaining "clear" pixels and further improves the cloud, cloud shadow, and snow mask. Three Top Of Atmosphere (TOA) reflectance bands (Bands 2, 4, and 5 - Landsat-7 band numbering) are used in a Robust Iteratively Reweighted Least Squares (RIRLS) method to estimate a time series model for each pixel. By comparing model estimates with Landsat observations for the three spectral bands, the Tmask algorithm is capable of detecting any remaining clouds, cloud shadows, and snow for an entire stack of Landsat images. Generally, this algorithm will not falsely identify land cover changes as clouds, cloud shadows, or snow, as it is capable of modeling land cover change. The multitemporal images also provide extra information for better discrimination of cloud and snow, which is difficult for single-date algorithm. A snow threshold is derived for Band 5 TOA reflectance for each pixel at each specific time based on a modified Norwegian Linear Reflectance-to-Snow-Cover (NLR) algorithm. By comparing the results of Tmask with a single-date algorithm (Fmask) for multitemporal Landsat images located at Path 12 Row 31, significant improvements are observed for identification of clouds, cloud shadows, and snow. The most significant improvement is observed for cloud shadow detection. Many of the errors in cloud, cloud shadow, and snow detection observed in Fmask are corrected by the Tmask algorithm. The goal is development of a cloud, cloud shadow, and snow detection algorithm that results in a multitemporal stack of images that is free of "noise" factors and thus suitable for detection of land cover change. {\textcopyright} 2014 Elsevier Inc.},
  doi      = {10.1016/j.rse.2014.06.012},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  keywords = {Change,Cloud,Cloud shadow,Fmask,Landsat,Multitemporal,Snow,Tmask},
  url      = {http://dx.doi.org/10.1016/j.rse.2014.06.012},
}

@Article{Zhu2012,
  author   = {Zhu, Zhe and Woodcock, Curtis E.},
  title    = {{Object-based cloud and cloud shadow detection in Landsat imagery}},
  journal  = {Remote Sensing of Environment},
  year     = {2012},
  volume   = {118},
  pages    = {83--94},
  issn     = {00344257},
  abstract = {A new method called Fmask (Function of mask) for cloud and cloud shadow detection in Landsat imagery is provided. Landsat Top of Atmosphere (TOA) reflectance and Brightness Temperature (BT) are used as inputs. Fmask first uses rules based on cloud physical properties to separate Potential Cloud Pixels (PCPs) and clear-sky pixels. Next, a normalized temperature probability, spectral variability probability, and brightness probability are combined to produce a probability mask for clouds over land and water separately. Then, the PCPs and the cloud probability mask are used together to derive the potential cloud layer. The darkening effect of the cloud shadows in the Near Infrared (NIR) Band is used to generate a potential shadow layer by applying the flood-fill transformation. Subsequently, 3D cloud objects are determined via segmentation of the potential cloud layer and assumption of a constant temperature lapse rate within each cloud object. The view angle of the satellite sensor and the illuminating angle are used to predict possible cloud shadow locations and select the one that has the maximum similarity with the potential cloud shadow mask. If the scene has snow, a snow mask is also produced. For a globally distributed set of reference data, the average Fmask overall cloud accuracy is as high as 96.4{\%}. The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images.},
  doi      = {10.1016/j.rse.2011.10.028},
  groups   = {PAPER OSM},
  isbn     = {0034-4257},
  keywords = {Cloud,Cloud shadow,Detection,Fmask,Landsat,Object-based},
  url      = {http://www.sciencedirect.com/science/article/pii/S0034425711003853},
}

@article{zhu2015improvement,
  title={Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4--7, 8, and Sentinel 2 images},
  author={Zhu, Zhe and Wang, Shixiong and Woodcock, Curtis E},
  journal={Remote Sensing of Environment},
  volume={159},
  pages={269--277},
  year={2015},
  publisher={Elsevier}
}

@Article{Barnett2008,
  author        = {Barnett, Tim P. and Pierce, David W.},
  title         = {{When will Lake Mead go dry?}},
  journal       = {Water Resources Research},
  year          = {2008},
  volume        = {44},
  number        = {3},
  pages         = {n/a--n/a},
  month         = {mar},
  issn          = {00431397},
  __markedentry = {[Gennadii:]},
  doi           = {10.1029/2007WR006704},
  groups        = {PAPER Aqua Monitor},
}

@TechReport{Barros2015,
  author        = {Barros, V R and Field, C B and Dokke, D J and Mastrandrea, M D and Mach, K J and Bilir, T E and Chatterjee, M and Ebi, K L and Estrada, Y O and Genova, R C and Girma, B. and Kissel, E. S. and Levy, A. N. and MacCracken, S. and Mastrandrea, P. R. and White, L. L.},
  title         = {{Climate change 2014: impacts, adaptation, and vulnerability. Part B: regional aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change}},
  year          = {2015},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
  publisher     = {Cambridge University Press},
}

@Article{Dai2014,
  author        = {Dai, Zhijun and Liu, James T and Wei, Wen and Chen, Jiyu},
  title         = {{Detection of the Three Gorges Dam influence on the Changjiang (Yangtze River) submerged delta.}},
  journal       = {Scientific reports},
  year          = {2014},
  volume        = {4},
  pages         = {6600},
  month         = {jan},
  issn          = {2045-2322},
  __markedentry = {[Gennadii:]},
  abstract      = {While most large river-deltas in the world are facing the risk of subsidence and erosion in the Anthropocene, it is suspected that the Changjiang submerged delta (CSD) could be subjected to the impacts of the world's largest dam, the Three Gorges Dam (TGD). Here we firstly indicate that the CSD went through high accumulation (1958-1978); slight accumulation (1978-1997), slight erosion (1997-2002); and high accumulation (2002-2009), despite the 70{\%} reduction of the sediment load from upstream since the operation of the TGD in 2003. Meanwhile, at the depocenter of the submerged delta, the accumulation maintained a high rate of 10 cm/yr during 1958-2009. This suggests on a longer term, the distal sediment source from the upstream had little effect on the CSD. Within this time frame the changes in the partition of sediment load among the branching channels of the Changjiang Estuary could likely control the shifting of the depocenter of the CSD on a decadal time scale. Episodic extreme floods and storm surges also increased the magnitude of deposition and erosion of the CSD on short-term scales. A re-evaluation of the impacts of TGD on the CSD is urgently needed.},
  doi           = {10.1038/srep06600},
  groups        = {PAPER Aqua Monitor},
  pmid          = {25321660},
  publisher     = {Nature Publishing Group},
}

@Article{Davidson2009,
  author        = {Davidson, CM},
  title         = {{Dubai: foreclosure of a dream.}},
  journal       = {Middle East report.},
  year          = {2009},
  volume        = {251},
  number        = {summer},
  pages         = {8--13},
  issn          = {08992851 (ISSN)},
  __markedentry = {[Gennadii:]},
  abstract      = {Glitzy Dubai, long considered the new Monte Carlo or the Las Vegas of the Middle East, has suff ered one of the worst crash landings of this global recession. Dubai might be considered a bellwether of the global credit crunch. Until recently touted as a beacon of progress in an otherwise unstable region, the tiny emirates seemingly innovative economic and political model is now unravelling, with no end in sight to the uninterrupted stream of bad news. Construction has ground to a shuddering halt, unemployment is rising, sovereign debt is exposed, lawsuits are being prepared, and the population is decreasing, as those who moved to Dubai in search of a better life have either lost their jobs or are cutting their losses and leaving. To make matters worse, as the city empties itself out, traffi c thins, and cars and credit cards are abandoned at the airport, the embattled authorities have embroiled themselves in fresh controversies by introducing protectionist policies for their citizens and a new media law that forbids criticism of the economy, and earning Dubai an anti-Semitic branding in the sports world by denying a visa to an Israeli athlete. With investor confi dence in tatters and debt repayments looming, its humiliated rulers have had little choice but to turn to their wealthier neighbors. But although help has fi nally arrived, it is by no means the lifeline that the emirate really needs, and Dubais future hangs in the balance.},
  groups        = {PAPER Aqua Monitor},
  url           = {http://dro.dur.ac.uk/7099/},
}

@Article{Gao2012,
  author        = {Gao, Huilin and Birkett, Charon and Lettenmaier, Dennis P.},
  title         = {{Global monitoring of large reservoir storage from satellite remote sensing}},
  journal       = {Water Resources Research},
  year          = {2012},
  volume        = {48},
  number        = {9},
  pages         = {n/a--n/a},
  month         = {sep},
  __markedentry = {[Gennadii:]},
  doi           = {10.1029/2012WR012063},
  groups        = {PAPER Aqua Monitor},
  url           = {http://doi.wiley.com/10.1029/2012WR012063},
}

@Book{Garcia2016,
  title         = {{Earth Observation for Water Resources Management: Current Use and Future Opportunities for the Water Sector}},
  publisher     = {The World Bank},
  year          = {2016},
  author        = {Garcia, Luis and Rodriguez, Juan Diego and Wijnen, Marcus and Pakulski, Inge},
  editor        = {Garcia, Luis and Rodriguez, Diego and Wijnen, Marcus and Pakulski, Inge},
  address       = {Washington D. C.},
  month         = {apr},
  isbn          = {978-1-4648-0475-5},
  __markedentry = {[Gennadii:]},
  doi           = {10.1596/978-1-4648-0475-5},
  groups        = {PAPER Aqua Monitor},
}

@Article{Giosan2014,
  author        = {Giosan, Liviu and Syvitski, James and Constantinescu, Stefan and Day, John},
  title         = {{Climate change: protect the world's deltas.}},
  journal       = {Nature},
  year          = {2014},
  volume        = {516},
  number        = {7529},
  pages         = {31--3},
  month         = {dec},
  issn          = {1476-4687},
  __markedentry = {[Gennadii:]},
  doi           = {10.1038/516031a},
  groups        = {PAPER Aqua Monitor},
  pmid          = {25471866},
}

@Book{Glantz1999,
  title         = {{Creeping environmental problems and sustainable development in the Aral Sea basin}},
  publisher     = {Cambridge University Press},
  year          = {1999},
  author        = {Glantz, M. H.},
  editor        = {Glantz, M. H.},
  address       = {Cambridge},
  isbn          = {0-511-03506-3},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
}

@Misc{GEET2015,
  author        = {{Google Earth Engine Team,}},
  title         = {{Google Earth Engine: A planetary-scale geo-spatial analysis platform}},
  year          = {2015},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
  url           = {https://earthengine.google.com},
  urldate       = {2016-07-15},
}

@Article{Jackson2000,
  author        = {Jackson, Sukhan and Sleigh, Adrian},
  title         = {{Resettlement for China's Three Gorges Dam: socio-economic impact and institutional tensions}},
  journal       = {Communist and Post-Communist Studies},
  year          = {2000},
  volume        = {33},
  number        = {2},
  pages         = {223--241},
  month         = {jun},
  issn          = {0967067X},
  __markedentry = {[Gennadii:]},
  abstract      = {Large dams have been an important component of infrastructure development in capitalist and communist countries alike. In 1998, changing world attitudes on large dams led to a two-year World Commission on Dams and new global standards may soon insist that future projects pay fair compensation so that resettlement becomes voluntary. Now, 10years after introduction of economic reforms, China is mobilizing its resources to build the world's largest dam. This fulfils a longstanding ambition to impound the Yangtze River in Central China at the Three Gorges and use the hydropower, improved navigation and flood control to develop the economy. This paper examines the socio-economic impact of Three Gorges Dam on over 1.3 million people to be displaced while China is in transition to a market economy. We consider resettlement in terms of the decision-making structure, property rights and incentives to move, and how the project exacerbates problems created by market reforms, especially rising unemployment and deteriorating public health. We conclude the project is boosting economic expectations while adversely affecting large sections of the population, and this could provoke widespread social unrest and eventual changes in political institutions.},
  doi           = {10.1016/S0967-067X(00)00005-2},
  groups        = {PAPER Aqua Monitor},
}

@Article{Kirwan2009,
  author        = {Kirwan, Matthew L. and Temmerman, Stijn and Skeehan, Emily E. and Guntenspergen, Glenn R. and Faghe, Sergio},
  title         = {{Overestimation of marsh vulnerability to sea level rise}},
  journal       = {Nature Climate Change},
  year          = {2009},
  volume        = {6},
  number        = {3},
  pages         = {253--260},
  issn          = {1758-678X},
  __markedentry = {[Gennadii:]},
  abstract      = {Coastal marshes are considered to be among the most valuable and vulnerable ecosystems on Earth, where the imminent loss of ecosystem services is a feared consequence of sea level rise. However, we show with a meta-analysis that global measurements of marsh elevation change indicate that marshes are generally building at rates similar to or exceeding historical sea level rise, and that process-based models predict survival under a wide range of future sea level scenarios. We argue that marsh vulnerability tends to be overstated because assessment methods often fail to consider biophysical feedback processes known to accelerate soil building with sea level rise, and the potential for marshes to migrate inland.},
  doi           = {10.1038/nclimate2909},
  groups        = {PAPER Aqua Monitor},
  isbn          = {1758-678X},
  url           = {http://dx.doi.org/10.1038/nclimate2909},
}

@Article{Kirwan2016,
  author        = {Kirwan, Matthew L. and Temmerman, Stijn and Skeehan, Emily E. and Guntenspergen, Glenn R. and Fagherazzi, Sergio},
  title         = {{Overestimation of marsh vulnerability to sea level rise}},
  journal       = {Nature Climate Change},
  year          = {2016},
  volume        = {6},
  number        = {3},
  pages         = {253--260},
  month         = {feb},
  issn          = {1758-678X},
  __markedentry = {[Gennadii:]},
  abstract      = {Coastal marshes are considered to be among the most valuable and vulnerable ecosystems on Earth, where the imminent loss of ecosystem services is a feared consequence of sea level rise. However, we show with a meta-analysis that global measurements of marsh elevation change indicate that marshes are generally building at rates similar to or exceeding historical sea level rise, and that process-based models predict survival under a wide range of future sea level scenarios. We argue that marsh vulnerability tends to be overstated because assessment methods often fail to consider biophysical feedback processes known to accelerate soil building with sea level rise, and the potential for marshes to migrate inland.},
  doi           = {10.1038/nclimate2909},
  groups        = {PAPER Aqua Monitor},
  publisher     = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
  shorttitle    = {Nature Clim. Change},
}

@Article{Lehner2011,
  author        = {Lehner, Bernhard and Liermann, Catherine Reidy and Revenga, Carmen and V{\"{o}}r{\"{o}}smarty, Charles and Fekete, Balazs and Crouzet, Philippe and D{\"{o}}ll, Petra and Endejan, Marcel and Frenken, Karen and Magome, Jun and Nilsson, Christer and Robertson, James C and R{\"{o}}del, Raimund and Sindorf, Nikolai and Wisser, Dominik},
  title         = {{High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management}},
  journal       = {Frontiers in Ecology and the Environment},
  year          = {2011},
  volume        = {9},
  number        = {9},
  pages         = {494--502},
  month         = {nov},
  issn          = {1540-9295},
  __markedentry = {[Gennadii:]},
  doi           = {10.1890/100125},
  groups        = {PAPER Aqua Monitor},
}

@Article{Micklin2016,
  author        = {Micklin, Philip},
  title         = {{The future Aral Sea: hope and despair}},
  journal       = {Environmental Earth Sciences},
  year          = {2016},
  volume        = {75},
  number        = {9},
  pages         = {844},
  month         = {may},
  issn          = {1866-6280},
  __markedentry = {[Gennadii:]},
  doi           = {10.1007/s12665-016-5614-5},
  groups        = {PAPER Aqua Monitor},
}

@Article{Mohamed2005,
  author        = {Mohamed, Y. A. and den Hurk, B. J. J. M. Van and Savenije, H. H. G. and Bastiaanssen, W. G. M.},
  title         = {{Impact of the Sudd wetland on the Nile hydroclimatology}},
  journal       = {Water Resour. Res.},
  year          = {2005},
  volume        = {41},
  number        = {8},
  pages         = {W08420},
  month         = {aug},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
}

@Misc{SangHun2009,
  author        = {Sang-Hun, C.},
  title         = {{South Korea Rejects North's Explanation of Dam Release}},
  year          = {2009},
  __markedentry = {[Gennadii:]},
  address       = {Seoul},
  booktitle     = {New York Times},
  groups        = {PAPER Aqua Monitor},
}

@Article{Storlazzi2015,
  author        = {Storlazzi, Curt D and Elias, Edwin P L and Berkowitz, Paul},
  title         = {Many atolls may be uninhabitable within decades due to climate change},
  journal       = {Nature Scientific Reports},
  year          = {2015},
  pages         = {1--9},
  issn          = {2045-2322},
  __markedentry = {[Gennadii:]},
  abstract      = {Observations show global sea level is rising due to climate change, with the highest rates in the tropical Pacific Ocean where many of the world's low-lying atolls are located. Sea-level rise is particularly critical for low-lying carbonate reef-lined atoll islands; these islands have limited land and water available for human habitation, water and food sources, and ecosystems that are vulnerable to inundation from sea-level rise. Here we demonstrate that sea-level rise will result in larger waves and higher wave-driven water levels along atoll islands' shorelines than at present. Numerical model results reveal waves will synergistically interact with sea-level rise, causing twice as much land forecast to be flooded for a given value of sea-level rise than currently predicted by current models that do not take wave-driven water levels into account. Atolls with islands close to the shallow reef crest are more likely to be subjected to greater wave-induced run-up and flooding due to sea-level rise than those with deeper reef crests farther from the islands' shorelines. It appears that many atoll islands will be flooded annually, salinizing the limited freshwater resources and thus likely forcing inhabitants to abandon their islands in decades, not centuries, as previously thought.},
  doi           = {10.1038/srep14546},
  groups        = {PAPER Aqua Monitor},
  pmid          = {26403195},
  url           = {http://dx.doi.org/10.1038/srep14546},
}

@Article{Weiss2015,
  author        = {Weiss, Kenneth R.},
  title         = {{Before we drown we may die of thirst}},
  journal       = {Nature},
  year          = {2015},
  volume        = {526},
  number        = {7575},
  pages         = {624--627},
  month         = {oct},
  __markedentry = {[Gennadii:]},
  doi           = {10.1038/526624a},
  groups        = {PAPER Aqua Monitor},
}

@Misc{SingaporePlan2013,
  title         = {{Singapore Land Use Plan}},
  year          = {2013},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
  url           = {http://www.mnd.gov.sg/landuseplan/},
}

@Misc{webFreshWaterSources,
  title         = {{The World's largerst natural freshwater sources}},
  year          = {2016},
  __markedentry = {[Gennadii:]},
  groups        = {PAPER Aqua Monitor},
  url           = {http://blog.desolenator.com/five-worlds-largest-natural-freshwater-sources/},
}

@Article{Clubb2014,
  author        = {Clubb, Fiona J. and Mudd, Simon M. and Milodowski, David T. and Hurst, Martin D. and Slater, Louise J.},
  title         = {{Objective extraction of channel heads from high-resolution topographic data}},
  journal       = {Water Resources Research},
  year          = {2014},
  volume        = {50},
  number        = {5},
  pages         = {4283--4304},
  issn          = {19447973},
  __markedentry = {[Gennadii:6]},
  abstract      = {Fluvial landscapes are dissected by channels, and at their upstream termini are channel heads. Accurate reconstruction of the fluvial domain is fundamental to understanding runoff generation, storm hydrology, sediment transport, biogeochemical cycling, and landscape evolution. Many methods have been proposed for predicting channel head locations using topographic data, yet none have been tested against a robust field data set of mapped channel heads across multiple landscapes. In this study, four methods of channel head prediction were tested against field data from four sites with high-resolution DEMs: slope-area scaling relationships; two techniques based on landscape tangential curvature; and a new method presented here, which identifies the change from channel to hillslope topography along a profile using a transformed longitudinal coordinate system. Our method requires only two user-defined parameters, determined via independent statistical analysis. Slope-area plots are traditionally used to identify the fluvial-hillslope transition, but we observe no clear relationship between this transition and field-mapped channel heads. Of the four methods assessed, one of the tangential curvature methods and our new method most accurately reproduce the measured channel heads in all four field sites (Feather River CA, Mid Bailey Run OH, Indian Creek OH, Piedmont VA), with mean errors of ?{\`{a}}{\'{i}}11, ?{\`{a}}{\'{i}}7, 5, and ?{\`{a}}{\'{i}}24 m and 34, 3, 12, and ?{\`{a}}{\'{i}}58 m, respectively. Negative values indicate channel heads located upslope of those mapped in the field. Importantly, these two independent methods produce mutually consistent estimates, providing two tests of channel head locations based on independent topographic signatures.},
  doi           = {10.1002/2013WR015167},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Clubb et al. - 2014 - Objective extraction of channel heads from high-resolution topographic data.pdf:pdf},
  groups        = {PAPER HAND},
  keywords      = {LiDAR,channel heads,drainage density,sediment transport},
}

@Article{Gharari2016,
  author        = {Gharari, S},
  title         = {{On the role of model structure in hydrological modeling: Understanding models}},
  year          = {2016},
  __markedentry = {[Gennadii:6]},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Gharari - 2016 - On the role of model structure in hydrological modeling Understanding models(2).pdf:pdf},
  groups        = {PAPER HAND},
  url           = {http://repository.tudelft.nl/view/ir/uuid:055795fb-611e-4e04-b431-fd0c377581f1/},
}

@Article{Montgomery1988,
  author        = {Montgomery, David R. and Dietrich, William E.},
  title         = {{Where do channels begin?}},
  journal       = {Nature},
  year          = {1988},
  volume        = {336},
  number        = {6196},
  pages         = {232--234},
  issn          = {0028-0836},
  __markedentry = {[Gennadii:6]},
  abstract      = {The closer channels begin to drainage divides, the greater will be the number of channels that occupy a unit area, and consequently the more finely dissected will be the landscape. Hence, a key component of channel network growth and landscape evolution theories1-7, as well as models for topographically controlled catch-ment runoff8, should be the prediction of where channels begin. Little field data exist, however, either on channel head locations9-14 or on what processes act to initiate and maintain a channel14-17. Here we report observations from several soil-mantled regions of Oregon and California, which show that the source area above the channel head decreases with increasing local valley gradient for slopes ranging from 5 to 45 degrees. Our results support a predicted relationship between source area and slope for steep humid landscapes where channel initiation is by landsliding, but they contradict theoretical predictions for channel initiation by overland flow in gentle valleys. Our data also suggest that, for the same gradient, drier regions tend to have larger source areas.},
  doi           = {10.1038/336232a0},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Montgomery, Dietrich - 1988 - Where do channels begin.pdf:pdf},
  groups        = {PAPER HAND},
  isbn          = {0028-0836},
}

@Article{Mudd2014,
  author        = {Mudd, Simon M. and Attal, Mika{\"{e}}l and Milodowski, David T. and Grieve, Stuart W. D. and Valters, Declan A.},
  title         = {{A statistical framework to quantify spatial variation in channel gradients using the integral method of channel profile analysis}},
  journal       = {Journal of Geophysical Research: Earth Surface},
  year          = {2014},
  volume        = {119},
  number        = {2},
  pages         = {138--152},
  month         = {feb},
  issn          = {21699003},
  __markedentry = {[Gennadii:6]},
  doi           = {10.1002/2013JF002981},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Mudd et al. - 2014 - A statistical framework to quantify spatial variation in channel gradients using the integral method of channel pro.pdf:pdf},
  groups        = {PAPER HAND},
  url           = {http://doi.wiley.com/10.1002/2013JF002981},
}

@Article{Nobre2011,
  author        = {Nobre, A.D. and Cuartas, L.A. and Hodnett, M. and Renn{\'{o}}, C.D. and Rodrigues, G. and Silveira, A. and Waterloo, M. and Saleska, S.},
  title         = {{Height Above the Nearest Drainage ? a hydrologically relevant new terrain model}},
  journal       = {Journal of Hydrology},
  year          = {2011},
  volume        = {404},
  number        = {1-2},
  pages         = {13--29},
  month         = {jun},
  issn          = {00221694},
  __markedentry = {[Gennadii:6]},
  abstract      = {This paper introduces a new terrain model named HAND, and reports on the calibration and validation of landscape classes representing soil environments in Amazonia, which were derived using it. The HAND model normalizes topography according to the local relative heights found along the drainage network, and in this way, presents the topology of the relative soil gravitational potentials, or local draining potentials. The HAND model has been demonstrated to show a high correlation with the depth of the water table, providing an accurate spatial representation of soil water environments. Normalized draining potentials can be classified according to the relative vertical flowpath-distances to the nearest drainages, defining classes of soil water environments. These classes have been shown to be comparable and have verifiable and reproducible hydrological significance across the studied catchment and for surrounding ungauged catchments. The robust validation of this model over an area of 18,000km2 in the lower Rio Negro catchment has demonstrated its capacity to map expansive environments using only remotely acquired topography data as inputs. The classified HAND model has also preliminarily demonstrated robustness when applied to ungauged catchments elsewhere with contrasting geologies, geomorphologies and soil types. The HAND model and the derived soil water maps can help to advance physically based hydrological models and be applied to a host of disciplines that focus on soil moisture and ground water dynamics. As an original assessment of soil water in the landscape, the HAND model explores the synergy between digital topography data and terrain modeling, presenting an opportunity for solving many difficult problems in hydrology.},
  doi           = {10.1016/j.jhydrol.2011.03.051},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Nobre et al. - 2011 - Height Above the Nearest Drainage ? a hydrologically relevant new terrain model.pdf:pdf},
  groups        = {PAPER HAND},
  keywords      = {Drainage network,Draining potential,Flow path,Gravitational potential,Normalization of topography,Relative height},
  url           = {http://www.sciencedirect.com/science/article/pii/S0022169411002599},
}

@Article{Orlandini2011,
  author        = {Orlandini, Stefano and Tarolli, Paolo and Moretti, Giovanni and {Dalla Fontana}, Giancarlo},
  title         = {{On the prediction of channel heads in a complex alpine terrain using gridded elevation data}},
  journal       = {Water Resources Research},
  year          = {2011},
  volume        = {47},
  number        = {2},
  pages         = {n/a--n/a},
  month         = {feb},
  issn          = {00431397},
  __markedentry = {[Gennadii:6]},
  doi           = {10.1029/2010WR009648},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Orlandini et al. - 2011 - On the prediction of channel heads in a complex alpine terrain using gridded elevation data.pdf:pdf},
  groups        = {PAPER HAND},
  url           = {http://doi.wiley.com/10.1029/2010WR009648},
}

@Article{Passalacqua2010,
  author        = {Passalacqua, Paola and {Do Trung}, Tien and Foufoula-Georgiou, Efi and Sapiro, Guillermo and Dietrich, William E.},
  title         = {{A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths}},
  journal       = {Journal of Geophysical Research},
  year          = {2010},
  volume        = {115},
  number        = {F1},
  pages         = {1--18},
  issn          = {0148-0227},
  __markedentry = {[Gennadii:6]},
  abstract      = {A geometric framework for the automatic extraction of channels and channel networks from high-resolution digital elevation data is introduced in this paper. The proposed approach incorporates nonlinear diffusion for the preprocessing of the data, both to remove noise and to enhance features that are critical to the network extraction. Following this preprocessing, channels are defined as curves of minimal effort, or geodesics, where the effort is measured on the basis of fundamental geomorphological characteristics such as flow accumulation area and isoheight contours curvature. The merits of the proposed methodology, and especially the computational efficiency and accurate localization of the extracted channels, are demonstrated using light detection and ranging (lidar) data of the Skunk Creek, a tributary of the South Fork Eel River basin in northern California.},
  doi           = {10.1029/2009JF001254},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Passalacqua et al. - 2010 - A geometric framework for channel network extraction from lidar Nonlinear diffusion and geodesic paths.pdf:pdf},
  groups        = {PAPER HAND},
  isbn          = {0148-0227},
  keywords      = {doi:10.102,http://dx.doi.org/10.1029/2009JF001254},
  url           = {http://doi.wiley.com/10.1029/2009JF001254},
}

@Article{Passalacqua2015,
  author        = {Passalacqua, Paola and Foufoula-Georgiou, Efi},
  title         = {{Comment on ?Objective extraction of channel heads from high-resolution topographic data? by Fiona J. Clubb et al.}},
  journal       = {Water Resources Research},
  year          = {2015},
  volume        = {51},
  number        = {2},
  pages         = {1372--1376},
  month         = {feb},
  issn          = {00431397},
  __markedentry = {[Gennadii:6]},
  doi           = {10.1002/2014WR016412},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Passalacqua, Foufoula-Georgiou - 2015 - Comment on ?Objective extraction of channel heads from high-resolution topographic data? by Fion.pdf:pdf},
  groups        = {PAPER HAND},
  url           = {http://doi.wiley.com/10.1002/2014WR016412},
}

@Article{Pelletier2013,
  author        = {Pelletier, Jon D.},
  title         = {{A robust, two-parameter method for the extraction of drainage networks from high-resolution digital elevation models (DEMs): Evaluation using synthetic and real-world DEMs}},
  journal       = {Water Resources Research},
  year          = {2013},
  volume        = {49},
  number        = {1},
  pages         = {75--89},
  month         = {jan},
  issn          = {00431397},
  __markedentry = {[Gennadii:6]},
  doi           = {10.1029/2012WR012452},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Pelletier - 2013 - A robust, two-parameter method for the extraction of drainage networks from high-resolution digital elevation models.pdf:pdf},
  groups        = {PAPER HAND},
  url           = {http://doi.wiley.com/10.1029/2012WR012452},
}

@Article{Perron2013,
  author        = {Perron, J. T. and Royden, L.},
  title         = {{An integral approach to bedrock river profile analysis}},
  journal       = {Earth Surface Processes and Landforms},
  year          = {2013},
  volume        = {38},
  number        = {6},
  pages         = {570--576},
  issn          = {01979337},
  __markedentry = {[Gennadii:6]},
  abstract      = {Bedrock river profiles are often interpreted with the aid of slope-area analysis, but noisy topographic data make such interpretations challenging. We present an alternative approach based on an integration of the steady-state form of the stream power equation. The main component of this approach is a transformation of the horizontal coordinate that converts a steady-state river profile into a straight line with a slope that is simply related to the ratio of the uplift rate to the erodibility. The transformed profiles, called chi plots, have other useful properties, including co-linearity of steady-state tributaries with their main stem and the ease of identifying transient erosional signals. We illustrate these applications with analyses of river profiles extracted from digital topographic datasets. {\textcopyright} 2012 John Wiley {\&} Sons, Ltd..},
  doi           = {10.1002/esp.3302},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Perron, Royden - 2013 - An integral approach to bedrock river profile analysis.pdf:pdf},
  groups        = {PAPER HAND},
  isbn          = {0197-9337},
  keywords      = {Bedrock river,Longitudinal profile,Slope-area,Stream power},
  url           = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84876481926{\&}partnerID=tZOtx3y1},
}

@Article{Renno2008,
  author        = {Renn{\'{o}}, Camilo Daleles and Nobre, Antonio Donato and Cuartas, Luz Adriana and Soares, Jo{\~{a}}o Vianei and Hodnett, Martin G. and Tomasella, Javier and Waterloo, Maarten J.},
  title         = {{HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia}},
  journal       = {Remote Sensing of Environment},
  year          = {2008},
  volume        = {112},
  number        = {9},
  pages         = {3469--3481},
  issn          = {00344257},
  __markedentry = {[Gennadii:6]},
  abstract      = {Optical imagery can reveal spectral properties of forest canopy, which rarely allows for finding accurate correspondence of canopy features with soils and hydrology. In Amazonia non-floodable swampy forests can not be easily distinguished from non-floodable terra-firme forests using just bidimensional spectral data. Accurate topographic data are required for the understanding of land surface processes at finer scales. Topographic detail has now become available with the Shuttle Radar Topographic Mission (SRTM) data. This new digital elevation model (DEM) shows the feature-rich relief of lowland rain forests, adding to the ability to map rain forest environments through many quantitative terrain descriptors. In this paper we report on the development of a new quantitative topographic algorithm, called HAND (Height Above the Nearest Drainage), based on SRTM-DEM data. We tested the HAND descriptor for a groundwater, topographic and vegetation dataset from central Amazonia. The application of the HAND descriptor in terrain classification revealed strong correlation between soil water conditions, like classes of water table depth, and topography. This correlation obeys the physical principle of soil draining potential, or relative vertical distance to drainage, which can be detected remotely through the topography of the vegetation canopy found in the SRTM-DEM data.},
  doi           = {10.1016/j.rse.2008.03.018},
  groups        = {PAPER HAND},
  isbn          = {0034-4257},
  url           = {http://www.sciencedirect.com/science/article/pii/S003442570800120X},
}

@Article{Simard2006,
  author        = {Simard, Marc and Zhang, Keqi and Rivera-monroy, Victor H and Ross, Michael S and Ruiz, Pablo L and Casta{\~{n}}eda-moya, Edward and Twilley, Robert R and Rodriguez, Ernesto},
  title         = {{Mapping Height and Biomass of Mangrove Forests in Everglades National Park with SRTM Elevation Data}},
  journal       = {Photogrammetric Engineering Remote Sensing},
  year          = {2006},
  volume        = {72},
  number        = {3},
  pages         = {299--311},
  issn          = {00991112},
  __markedentry = {[Gennadii:6]},
  abstract      = {We produced a landscape scale map of mean tree height in mangrove forests in Everglades National Park (ENP) using the elevation data from the Shuttle Radar Topography Mission (SRTM). The SRTM data was calibrated using airborne lidar data and a high resolution USGS digital elevation model (DEM). The resulting mangrove height map has a mean tree height error of 2.0 m (RMSE) over a pixel of 30 m. In addition, we used field data to derive a relationship between mean forest stand height and biomass in order to map the spatial distribution of standing biomass of mangroves for the entire National Park. The estimation showed that most of the mangrove standing biomass in the ENP resides in intermediate-height mangrove stands around 8 m. We estimated the total mangrove standing biomass in ENP to be 5.6 109 kg. 2006 American Society for Photogrammetry and Remote Sensing.},
  doi           = {10.14358/PERS.72.3.299},
  file          = {:C$\backslash$:/Users/Gennadii/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Simard et al. - 2006 - Mapping Height and Biomass of Mangrove Forests in Everglades National Park with SRTM Elevation Data.pdf:pdf},
  groups        = {PAPER HAND},
  isbn          = {0099-1112},
}

@Misc{dataAUDEM5m,
  author = {Geoscience Australia, Canberra},
  title  = {Digital Elevation Model (DEM) of Australia derived from LiDAR 5 Metre Grid},
  year   = {2016},
  note   = {Accessed: Apr 5, 2016},
  doi    = {10.4225/25/5652419862E23},
  url    = {http://dx.doi.org/10.4225/25/5652419862E23},
}


@Misc{webGDAL,
  title   = {Image processing in Python library},
  year    = {2017},
  url     = {http://scikit-image.org/},
  urldate = {2017-06-01},
}

@Misc{Warmerdam2016,
  author  = {Warmerdam, F.},
  title   = {{The geospatial data abstraction library}},
  year    = {2016},
  groups  = {PAPER OSM},
  url     = {http://link.springer.com/chapter/10.1007/978-3-540-74831-1_5},
  urldate = {2016-01-15},
}


@article{giosan2014protect,
  title={Protect the world's deltas},
  author={Giosan, Liviu},
  journal={Nature},
  volume={516},
  number={7529},
  pages={31},
  year={2014},
  publisher={Nature Publishing Group}
}

@article{donchyts2016imdp,
  title={A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia},
  author={Donchyts, Gennadii and Schellekens, Jaap and Winsemius, Hessel and Eisemann, Elmar and van de Giesen, Nick},
  journal={Remote Sensing},
  volume={8},
  number={5},
  pages={386},
  year={2016},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@article{chen2016changes,
  title={Changes in Central Asia's Water Tower: Past, Present and Future},
  author={Chen, Yaning and Li, Weihong and Deng, Haijun and Fang, Gonghuan and Li, Zhi},
  journal={Scientific reports},
  volume={6},
  year={2016},
  publisher={Nature Publishing Group}
}

@article{yamazaki2016hydrology,
  title={Hydrology: The dynamics of Earth's surface water},
  author={Yamazaki, Dai and Trigg, Mark A},
  journal={Nature},
  volume={540},
  number={7633},
  pages={348--349},
  year={2016},
  publisher={Nature Research}
}

@Comment{jabref-meta: databaseType:bibtex;}