Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco

Modeling vulnerability of ruffed lemurs to climate change and deforestation

Detect deforestation from satellite imagery using U-Net + Google Earth Engine. Deployed with Flask & Docker on Hugging Face Spaces.

Deep Learning Based Multi-Source Data Fusion to Map Deforested Areas

Transformer-based app to detect deforestation in the Brazilian Amazon using Sentinel-2 imagery (F1: 0.9886, IoU: 0.9572)

deforestation monitoring using satellite images

regression model for deforestation monitoring using satellite images

A simple factor-cluster analysis on global deforestation patterns based on FAO data.

Trains a CNN on EuroSAT satellite imagery for land-cover classification (93.6% test accuracy), then applies it to real GeoTIFF scenes across two time points to automatically flag Forest → non-forest transitions as candidate deforestation events.