A R-Shiny web application to access, visualize and analyze cw research data.
-
Updated
Jan 24, 2023 - R
A R-Shiny web application to access, visualize and analyze cw research data.
Ongoing research on several projects..
Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.
WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping
The Pitlake Inventory Project aims to cover each and every Indian pit lake under one hood. This would facilitate a better flow of information to the stakeholders and also would be beneficial to the pit lake researchers. In this repository, anyone can submit an excel sheet with general information regarding pitlakes from their respective regions.…
Mapping vegetation communities in the Arctic-boreal wetlands of the Peace-Athabasca Delta using AVIRIS-NG hyperspectral data
The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).
R scripts mapping global wetland loss (1700-2000)
Home of the GLM-AED project - software to simulate aquatic systems
Add a description, image, and links to the wetland topic page so that developers can more easily learn about it.
To associate your repository with the wetland topic, visit your repo's landing page and select "manage topics."