📦🐍 Python package to model and forecast the risk of deforestation

Open-source ML platform for detecting deforestation, ice melt, and flooding from Sentinel-2 / Landsat imagery.

UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).

This repository presents the product of my master's thesis, which uses UNet to map deforestation using Sentinel-2 Level 2A images.

📦 🐍 🌎 deforisk QGis plugin for creating and comparing risk maps of deforestation in the tropics

📦🐍 geefcc Python package to get forest cover change data from Google Earth Engine

Deforestation tracking tool powered by Sentinel-2 satellite data and AI image segementation

GreenX is a project motivated to create social awareness against deforestation & climate change.

The Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission

Green AI Hackathon: Using AlphaEarth Foundations to Detect/Predict Tropical Deforestation

Construção de um banco de dados geográficos (PostgreSQL + PostGIS) para análise do desmatamento no Brasil com dados do PRODES e DETER em conjunto com dados da malha fundiária do Atlas Agropecuário do Imaflora.

ForestMonitor is a tool that detects and analyzes deforested areas in satellite images using HSV color segmentation.

Automated EUDR due diligence gap analysis — upload supplier documents, get a structured Excel report

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

🌳 An OpenCV-based tool for deforestation analysis using satellite imagery. Features vegetation segmentation, green coverage calculation, histogram visualization, and side-by-side comparisons to track forest cover changes across time. Ideal for research, NGOs, and climate education.

Production-ready geospatial ML platform — land-cover classification, anomaly detection, change detection, tree crown segmentation & LiDAR forest inventory. ResNet-50 · Mask R-CNN · PyTorch · FastAPI · Docker · Heroku

Ask in plain English about 24 years of Global Forest Watch data — 165 countries & 2,779 regions. MCP server with 17 query tools + a live natural-language Streamlit demo. Python · Polars · SQLite · Llama (Groq).

Pipeline de clasificación de cobertura del suelo mediante imágenes multiespectrales Landsat para detección de deforestación en Colombia. Validado en el departamento del Guaviare.

🌳An OpenCV-based tool for analyzing and visualizing deforestation using satellite imagery. Includes image preprocessing, vegetation detection, and comparative analysis to highlight forest cover changes.

See how any place on Earth has changed — pick a region, pick two dates, get a change map.