Init config for arctic vegetation map

qgreenland/config/datasets/circumpolar_arctic_vegetation_map.py

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+from qgreenland.models.config.asset import HttpAsset
+from qgreenland.models.config.dataset import Dataset
+
+circumpolar_arctic_vegetation_map = Dataset(
+    id="circumpolar_arctic_vegetation_map",
+    assets=[
+        HttpAsset(
+            id="only",
+            urls=[
+                (
+                    "https://data.mendeley.com/public-files/datasets/c4xj5rv6kv/files/5223c414-234a-498c-ae08-3100cb38510f/file_downloaded"
+                ),
+            ],
+        ),
+    ],
+    metadata={
+        "title": "Raster Circumpolar Arctic Vegetation Map",
+        "abstract": (
+            """Land cover maps are the basic data layer required for
+            understanding and modeling ecological patterns and processes. The
+            Circumpolar Arctic Vegetation Map (CAVM), produced in 2003, has been
+            widely used as a base map for studies in the arctic tundra
+            biome. However, the relatively coarse resolution and vector format
+            of the map were not compatible with many other data sets. We present
+            a new version of the CAVM, building on the strengths of the original
+            map, while providing a finer spatial resolution, raster format, and
+            improved mapping. The Raster CAVM uses the legend, extent and
+            projection of the original CAVM. The legend has 16 vegetation types,
+            glacier, saline water, freshwater, and non-arctic land. The Raster
+            CAVM divides the original rock-water-vegetation complex map unit
+            that mapped the Canadian Shield into two map units, distinguishing
+            between areas with lichen- and shrub-dominated vegetation. In
+            contrast to the original hand-drawn CAVM, the new map is based on
+            unsupervised classifications of seventeen geographic/floristic
+            sub-sections of the Arctic, using AVHRR and MODIS data (reflectance
+            and NDVI) and elevation data. The units resulting from the
+            classification were modeled to the CAVM types using a wide variety
+            of ancillary data. The map was reviewed by experts familiar with
+            their particular region, including many of the original authors of
+            the CAVM from Canada, Greenland (Denmark), Iceland, Norway
+            (including Svalbard), Russia, and the U.S. The analysis presented
+            here summarizes the area, geographical distribution, elevation,
+            summer temperatures, and NDVI of the map units. The greater spatial
+            resolution of the Raster CAVM allowed more detailed mapping of
+            water-bodies and mountainous areas. It portrays coastal-inland
+            gradients, and better reflects the heterogeneity of vegetation type
+            distribution than the original CAVM. Accuracy assessment of random
+            1-km pixels interpreted from 6 Landsat scenes showed an average of
+            70 % accuracy, up from 39 % for the original CAVM. The distribution
+            of shrub-dominated types changed the most, with more prostrate shrub
+            tundra mapped in mountainous areas, and less low shrub tundra in
+            lowland areas. This improved mapping is important for quantifying
+            existing and potential changes to land cover, a key environmental
+            indicator for modeling and monitoring ecosystems.
+
+            Related Publication:
+
+            Martha K. Raynolds, Donald A. Walker, Andrew Balser, Christian Bay,
+            Mitch Campbell, Mikhail M. Cherosov, Fred J.A. Daniëls, Pernille
+            Bronken Eidesen, Ksenia A. Ermokhina, Gerald V. Frost, Birgit
+            Jedrzejek, M. Torre Jorgenson, Blair E. Kennedy, Sergei S. Kholod,
+            Igor A. Lavrinenko, Olga V. Lavrinenko, Borgþór Magnússon, Nadezhda
+            V. Matveyeva, Sigmar Metúsalemsson, Lennart Nilsen, Ian Olthof, Igor
+            N. Pospelov, Elena B. Pospelova, Darren Pouliot, Vladimir Razzhivin,
+            Gabriela Schaepman-Strub, Jozef Šibík, Mikhail Yu. Telyatnikov,
+            Elena Troeva, A raster version of the Circumpolar Arctic Vegetation
+            Map (CAVM), Remote Sensing of Environment, Volume 232, 2019, 111297,
+            ISSN 0034-4257,
+            https://doi.org/10.1016/j.rse.2019.111297. (https://www.sciencedirect.com/science/article/pii/S0034425719303165).
+            """
+        ),
+        "citation": {
+            "text": (
+                """Raynolds, Martha; Walker, Donald (2022), 'Raster Circumpolar
+                Arctic Vegetation Map', Mendeley Data, V2, doi:
+                10.17632/c4xj5rv6kv.2"""
+            ),
+            "url": "https://data.mendeley.com/datasets/c4xj5rv6kv/2",
+        },
+    },
+)

qgreenland/config/layers/Biology/Vegetation/vegetation_map.py

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+from qgreenland.config.datasets.circumpolar_arctic_vegetation_map import (
+    circumpolar_arctic_vegetation_map as dataset,
+)
+from qgreenland.config.helpers.steps.compress_and_add_overviews import (
+    compress_and_add_overviews,
+)
+from qgreenland.config.helpers.steps.decompress import decompress_step
+from qgreenland.config.helpers.steps.warp import warp
+from qgreenland.config.project import project
+from qgreenland.models.config.layer import Layer, LayerInput
+
+circumpolar_arctic_vegetation_map_layer = Layer(
+    id="circumpolar_arctic_vegetation_map",
+    title="Vegetation classification map (1km)",
+    description=(
+        """Arctic vegetation classification raster.
+
+            Individual raster values are mapped to vegetation types as follows:
+
+            'Raster Code': 'Vegetation Unit' - 'Short Description'
+            1: B1 - Cryptogam, herb barren
+            2: B2a - Cryptogam, barren complex
+            3: B3 - Non-carbonate mountain complex
+            4: B4 - Carbonate mountain complex
+            5: B2b - Cryptogam, barren, dwarf-shrub complex
+            21: G1 - Graminoid, forb, cryptogam tundra
+            22: G2 - Graminoid, prostrate dwarf-shrub, forb, moss tundra
+            23: G3 - Non-tussock sedge, dwarf-shrub, moss tundra
+            24: G4 - Tussock-sedge, dwarf-shrub, moss tundra
+            31: P1 - Prostrate dwarf-shrub, herb, lichen tundra
+            32: P2 - Prostrate/hemi-prostrate dwarf-shrub, lichen tundra
+            33: S1 - Erect dwarf-shrub, moss tundra
+            34: S2 - Low-shrub, moss tundra
+            41: W1 - Sedge/grass, moss wetland complex
+            42: W2 - Sedge, moss, dwarf-shrub wetland complex
+            43: W3 - Sedge, moss, low-shrub wetland complex
+            91: FW - Fresh water
+            92: SW - Saline water
+            93: GL - Glacier
+            99: NA - Non-Arctic
+
+             Environmental and climatic conditions are
+            extreme, with a short growing season and low summer temperatures. The
+            region support plants such as dwarf shrubs, herbs, lichens and mosses,
+            which grow close to the ground. As one moves southward (outward from
+            map's center in all directions), the amount of warmth available for
+            plant growth increases considerably, allowing the size, abundance, and
+            variety of plants to increase as well. Climate and other environmental
+            controls, such as landscape, topography, soil chemistry, soil moisture,
+            and the available plants that historically colonized an area, also
+            influence the distribution of plant communities.
+
+            For more information, visit:
+            https://www.geobotany.uaf.edu/cavm/abstract.php."""
+    ),
+    tags=[],
+    style="arctic_vegetation",
+    input=LayerInput(
+        dataset=dataset,
+        asset=dataset.assets["only"],
+    ),
+    steps=[
+        decompress_step(
+            input_file="{input_dir}/Raster\\ CAVM\\ GIS\\ data.zip",
+        ),
+        *warp(
+            input_file="{input_dir}/raster_cavm_v1.tif",
+            output_file="{output_dir}/warped.tif",
+            cut_file=project.boundaries["background"].filepath,
+            warp_args=(
+                "-tr",
+                "1000",
+                "1000",
+            ),
+        ),
+        *compress_and_add_overviews(
+            input_file="{input_dir}/warped.tif",
+            output_file="{output_dir}/compressed.tif",
+            dtype_is_float=False,
+        ),
+    ],
+)