Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.
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Updated
Dec 2, 2021
Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.
Mapping vegetation communities in the Arctic-boreal wetlands of the Peace-Athabasca Delta using AVIRIS-NG hyperspectral data
A R-Shiny web application to access, visualize and analyze cw research data.
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.…
Ongoing research on several projects..
WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping
R scripts mapping global wetland loss (1700-2000)
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).
Home of the GLM-AED project - software to simulate aquatic systems
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