Published March 22, 2022 | Version 1.0
Dataset Open

A new remote sensing benchmark dataset for machine learning applications : MultiSenGE

  • 1. LIVE UMR 7362 CNRS
  • 2. IRIMAS UR 7499

Contributors

  • 1. IR, EOST-A2S-Unistra

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: 

Notes

ANR-17-CE23-0015

Files

labels.zip

Files (8.5 MB)

Name Size Download all
md5:b76a04ff167966e74a38e7e206471630
8.5 MB Preview Download