links
Datasets
All datasets matching “links”cc-pdf-linkscc-doc-linksgeoid-flood
GEOID-Flood
A large-scale multi-modal benchmark for flood segmentation, built from 219 Copernicus
EMS Rapid Mapping flood activations across 65 countries (2016-2026).
165,329 rasters / 584 GB across 319 shards. 14,282 tiles: 8,938 train / 1,241 val / 2,674 test, plus 1,429 held-out tiles from activations EMSR857-871 for out-of-distribution evaluation.
Each 1024x1024 tile at 10 m resolution provides co-registered Sentinel-1 GRD and RTC
(pre- and post-event, VV/VH), a pre-event… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/geoid-flood.fmars-dataset
FMARS: Foundation Model Annotations for Remote Sensing Images
FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.
Paper: https://arxiv.org/abs/2405.20109
Dataset Features
VHR Imagery: The dataset uses pre-event VHR… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/fmars-dataset.spada-dataset
SPADA Dataset
This dataset contains images and sparse labels used in the paper Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery
, published at IGARSS 2023.
Repository: https://github.com/links-ads/igarss-spada
Paper: https://paperswithcode.com/paper/land-cover-segmentation-with-sparse
Dataset Preparation
The dataset has been compressed into segmented tarballs for ease of use within Git LFS (that is, tar > gzip > split).
To revert the process… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/spada-dataset.links-between-paper-and-code
[!CAUTION]
This dataset will not be updated. It corresponds to the last available public snapshot of the data, retrieved on July 28th, 2025.