README.md

metadata

license: cc-by-nc-4.0
task_categories:
  - text-to-image
language:
  - en
tags:
  - climate
  - biology
pretty_name: CrisisLandMark
size_categories:
  - 100K<n<1M

CrisisLandMark

CrisisLandMark is a large-scale corpus composed of Sentinel-1 and Sentinel-2 data enriched with textual and geospatial annotations designed for LULC and crisis management applications. The primary purpose is to help design text-to-image retrieval pipelines.

Dataset Details

• Curated by: Daniele Rege Cambrin
• License: Creative Commons Attribution Non Commercial 4.0
• Repository: GitHub
• Paper: Arxiv

Dataset Structure

[More Information Needed]

Source Data

Annotations

Citation

@misc{cambrin2025texttoremotesensingimageretrievalrgbsources,
      title={Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources}, 
      author={Daniele Rege Cambrin and Lorenzo Vaiani and Giuseppe Gallipoli and Luca Cagliero and Paolo Garza},
      year={2025},
      eprint={2507.10403},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.10403}, 
}

Licensing

The data in this dataset is a compilation of multiple sources, each with its own license. For detailed information on the licensing of each component, please see the NOTICE.md file.