awesome-remote-sensing-change-detection

Traditional Methods

• daifeng2016/Awesome-Optical-Remote-Sensing-Datasets-and-Methods

  This repository is for summarizing the latest optical remote sensing datasets and methods, which are listed in review article: Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges , published in JAG2025 .

• DoongLi/Awesome-Scene-Change-Detection

  This repository curates a comprehensive list of resources for scene change detection, including papers, videos, code, and relevant websites. While many change detection studies focus on remote sensing, this collection is specifically dedicated to works tested on street-view scenes and primarily covers methods based on robot vision (especially using image and point cloud data)

• Hansen Global Forest ChangeGEE dataset

  Annual global tree cover loss and gain maps at 30m resolution (2000–present), widely used as ground-truth labels and evaluation data for forest change detection research. Produced by the GLAD lab at the University of Maryland. Full-resolution GeoTIFFs are also available via earthenginepartners.appspot.com .

• Maxar Open Data Program

  The Maxar Open Data Program provides pre- and post-event satellite imagery (from WorldView-3 and other sensors) for select sudden-onset major crises, along with crowdsourced damage assessments.

• MinZHANG-WHU/Change-Detection-Review

  A review of change detection methods, including codes and open datasets for deep learning. From paper: Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges , published in RS2020 .

• Planet Disaster Datasets

  Planet makes available select imagery for major disaster events, including major earthquakes, floods, storms, wildfires, and human-made disasters. To download the data, users must complete a form for access qualification.