Home of the GLM-AED project - software to simulate aquatic systems

R scripts mapping global wetland loss (1700-2000)

WetNet: An Ensemble SAR/Optical Deep model for Wetland Mapping

Ongoing research on several projects..

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.

A Node.js ORM, mapping-based. Works with MySQL, PostgreSQL, SQLite and more.

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).

Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.

Data analysis of the tree inventory inside of the Vacaresti Protected Area, an urban wetland in Bucharest, Romania

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.…