The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.
Wetland change detection using Landsat time-series imagery
The aim of this project was to create a land cover classification of the area near Surat in India for 3 timesteps (2015, 2018, 2022) using a Random Forest classifier to access the process of urbanization
Land cover changes detection for Kathmandu Valley using Geemap (A Python based module for achieving GEE functionalities) (2021)
Potential interactive effects of climate and land cover changes on bats in Vietnam
Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.
a Webmap to present annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022
This project analyzed land cover change in the Kyushu region of Japan using classified raster data from the Copernicus Land Monitoring Service. Both QGIS and Python were used to process and visualize the changes in ‘vegetation’, ‘human-use’, and ‘others’ land classes.
Land Cover Classfication of Tanzania 2020(MODIS)
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