<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository serves as a comprehensive, up-to-date compilation of resources for remote sensing change detection. It targets researchers, engineers, and practitioners by aggregating datasets, methods, review papers, and competitions, streamlining the discovery of relevant tools and information in this specialized field.

How It Works

The project functions as a curated knowledge base, meticulously organizing a wide array of resources. It categorizes optical and multi-modal/SAR datasets, detailing their characteristics, and lists various methods, including cutting-edge deep learning approaches like foundation models, diffusion models, transformers, and CNNs, alongside traditional techniques. Additionally, it compiles relevant review papers, competitions, and satellite data resources for disaster response, providing a structured overview of the remote sensing change detection landscape.

Quick Start & Requirements

This repository is a curated list of resources and does not involve direct software installation or execution. Users can browse the provided links to access datasets, papers, tools, and competition information. No specific hardware or software prerequisites are listed for accessing the repository's content itself.

Highlighted Details

• Extensive catalog of remote sensing change detection datasets, including optical, multi-modal, and SAR data, with detailed metadata such as year, task, resolution, and location.
• Comprehensive overview of methodologies, spanning traditional algorithms to advanced deep learning architectures like foundation models, diffusion models, transformers, and CNNs.
• Curated lists of review papers and competitions, offering insights into the field's evolution, state-of-the-art performance, and emerging research trends.
• Inclusion of dedicated resources for satellite data relevant to disaster response, highlighting practical applications of change detection technology.

Maintenance & Community

The repository is maintained by "Awesome RSCD Contributors," indicating a community-driven effort. However, specific details regarding active maintenance schedules, community forums (e.g., Discord, Slack), or a public roadmap are not provided within the README.

Licensing & Compatibility

No specific open-source license is mentioned for the repository's content or curation. Users should exercise caution regarding the licensing of the linked external resources.

Limitations & Caveats

As a curated list, this repository does not offer direct software functionality. The inclusion of entries dated up to 2025 suggests a rapidly evolving field, and users should verify the currency and availability of linked resources. The absence of explicit licensing information for the compilation itself may pose compatibility concerns for certain use cases.