MUlti-modal MUlti-class Change Detection (MUMUCD) dataset
收藏Zenodo2025-07-14 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.10674011
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The MUlti-modal MUlti-class Change Detection (MUMUCD) dataset provides bitemporal acquisitions for selected locations obtained by different satellites.
MUMUCD includes hyperspectral (visible and shortwave infrared) by the PRISMA satellite, multispectral (visible and shortwave infrared) by Sentinel-2 satellites and synthetic aperture radar magnitude information by Sentinel-1 satellites. Additional layers include bitemporal land cover data from the Dynamic World project and static digital elevation model data retrieved via Google Earth Engine, and derived binary land cover change maps.
For more information, refer to: F. Serva, A. Sebastianelli, B. Le Saux, F. Ricciuti: MUMUCD: A Multi-modal Multi-class Change Detection Dataset, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2025.3585797, 2025. Please cite this paper when using MUMUCD in your work.
Please read the file metadata for the licences of individual products. For PRISMA, the following notice is required: "Project carried out using ORIGINAL PRISMA Products - © Italian Space Agency (ASI); the Products have been delivered under an ASI License to Use".
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Zenodo创建时间：
2025-06-19
