Global Forest Watch: An online, global, near-real time forest monitoring tool

Code for Deforestation Driver and Carbon Emission (DeDuCE) model

Brazil deforestation - From 1999 to 2023

Code repository for the paper: Silva Junior et al. Benchmark maps of 33 years of secondary forest age for Brazil. Scientific Data (2020). https://doi.org/10.1038/s41597-020-00600-4

U-net for deforestation detection

Code repository for the paper: Silveira, M.V. F., Silva-Junior, C.H.L., Anderson, L.O., Aragão, L.E.O.C. Amazon fires in the 21st century: the year of 2020 in evidence. Global Ecology and Biogeography (2022). https://doi.org/10.1111/geb.13577

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

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

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

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

Code and sample data for McGregor et al., 2024

A Jupyter notebook for detecting deforestation using GeoTIFF satellite images and NDVI analysis with OpenCV.

Python notebook for analyzing deforestation in Cancun, Mexico using OpenCV and satellite imagery from Google Earth Engine, designed for impactful environmental monitoring.

This is a computer vision model that detects if forest areas experienced deforestation. It takes in a satellite image of a forest region to categorize if the region experienced deforestation or hasn't experienced deforestation. This project was created within the AI4ALL Ignite Program SP24.

This is a computer vision model that detects if forest areas experienced deforestation. It takes in a satellite image of a forest region to categorize if the region experienced deforestation or hasn't experienced deforestation. This project was created within the AI4ALL Ignite Program SP24.

Quantification of Forest loss using Satellite data

[ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series

Detecting and visualizing land cover change using ArcGIS Pro in the Brazil state Rondonia between year 2020 and 1992.

🌍 📝 Modelling and forecasting deforestation in the tropics

Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia