A new remote sensing benchmark dataset for machine learning applications : MultiSenGE
- 1. LIVE UMR 7362 CNRS
- 2. IRIMAS UR 7499
Description
MultiSenGE is a new large-scale multimodal and multitemporal benchmark dataset covering one of the biggest administrative region located in the Eastern part of France. It contains 8,157 patches of 256 * 256 pixels for Sentinel-2 L2A, Sentinel-1 GRD and a regional LULC topographic regional database.
Every file has a specific nomenclature :
- Sentinel-1 patches: {tile}_{date}_S1_{x-pixel-coordinate}_{y-pixel-coordinate}.tif
- Sentinel-2 patches: {tile}_{date}_S2_{x-pixel-coordinate}_{y-pixel-coordinate}.tif
- Ground reference patches: {tile}_GR_{x-pixel-coordinate}_{y-pixel-coordinate}.tif
- JSON Labels: {tile}_{x-pixel-coordinate}_{y-pixel-coordinate}.json
where tile is the Sentinel-2 tile number, date the date of acquisition of the patch, x-pixel-coordinate and y-pixel-coordinate are the coordinates of the patch in the tile.
In addition, you can find a set of useful python tools for extracting information about the dataset on Github : https://github.com/r-wenger/MultiSenGE-Tools
First experiments based on this dataset is in press in ISPRS Annals : Wenger, R., Puissant, A., Weber, J., Idoumghar, L., and Forestier, G.: MULTISENGE: A MULTIMODAL AND MULTITEMPORAL BENCHMARK DATASET FOR LAND USE/LAND COVER REMOTE SENSING APPLICATIONS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 635–640, https://doi.org/10.5194/isprs-annals-V-3-2022-635-2022, 2022.
Due to the large size of the dataset, you will only find the associated JSON files on this Zenodo repository. To download the Sentinel-1, Sentinel-2 patches and the reference data, please do so via these links:
- Sentinel-1 temporal serie patches: https://s3.unistra.fr/a2s_datasets/MultiSenGE/s1.tgz
- Sentinel-2 temporal serie patches: https://s3.unistra.fr/a2s_datasets/MultiSenGE/s2.tgz
- Ground reference patches: https://s3.unistra.fr/a2s_datasets/MultiSenGE/ground_reference.tgz
- JSON files for each patch: https://s3.unistra.fr/a2s_datasets/MultiSenGE/labels.tgz
Notes
Files
labels.zip
Files
(8.5 MB)
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