Published September 19, 2024 | Version v1
Dataset Open

MMDC Europe (full dataset)

Authors/Creators

  • 1. ROR icon Centre d'Études Spatiales de la Biosphère
  • 2. CESBIO

Description

MMDC-EU is a multi-year, multimodal SITS dataset spanning Europe. This dataset is composed of the following data: the Sentinel 2 L2A product (processed with Sen2cor), the Sentinel 1 ascending and descending orbits, ECMWF AGERA5 weather variables, and a digital elevation model (DEM). Although all modalities are not initially available at a 10m resolution, all products are up-sampled on the Sentinel-2 10m spatial grid. Multi-year multimodal SITS were acquired from January 2017 to December 2020. 

Product name   Bands       Average acquisitions/year
S2 L2A  B2-B8, B8A, B11,B12,SCL, CLM, dataMask, sunAzimuthAngles,sunZenithAngles    89
S1-GRD-\gamma 0 terrain ASCENDING VV, VH      90
S1-GRD-\gamma 0 terrain DESCENDING VV, VH 107
ERA 5 Dewpoint-temperature, Precipitation-flux, solar-radiation-flux, temperature-max, temperature-mean, temperature-min, vapour-pressure, wind-speed   365
DEM  GLO-30       -


Specifically, the pre-training dataset gathers data from eighteen S2 tiles. This pre-training dataset is divided into training and validation sets. To build the training dataset, ten smaller non-overlapping ROIs of size (512,512) are randomly selected from each of the twelve training tile. The disjoint validation dataset is composed of the remaining six S2 tiles, from which thirty ROIs of size  (128,128) are randomly drawn. The code utilized to create the multimodal dataset is provided, allowing for potential future expansion : https://src.koda.cnrs.fr/iris.dumeur/openeo_datasets

The training data are available: 

The validation data are available at: 

The geojson describing the ROI extent on each S2 tiles are also provided in this repository. 

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Additional details

Related works

Describes
Preprint: arXiv:2407.08448 (arXiv)
Is required by
Software: https://src.koda.cnrs.fr/iris.dumeur/alise (URL)
Is source of
Software: https://src.koda.cnrs.fr/iris.dumeur/openeo_datasets (Other)

Funding

Agence Nationale de la Recherche
DeepChange - Deep generative models for detecting land cover changes from satellite image times series ANR-20-CE23-0003
European Commission
EVOLAND - EVOLUTION OF THE COPERNICUS LAND SERVICE PORTFOLIO INTEGRATING NOVEL EO DATA AND LATEST MACHINE LEARNING ALGORITHMS TO CONTINUOUSLY MONITOR THE STATUS, DYNAMICS AND BIOMASS OF THE LAND SURFACE 101082130