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Document type:
Forschungsdaten
Publication date:
06.06.2019
Responsible:
Schmitt, Michael
Authors:
Schmitt, Michael; Hughes, Lloyd
Author affiliation:
TUM
Publisher:
TUM
Title:
SEN12MS
Identifier:
doi:10.14459/2019mp1474000
End date of data production:
14.01.2019
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften
Resource type:
Abbildungen von Objekten / image of objects
Data type:
Bilder / images
Description:
The SEN12MS dataset contains 180,662 patch triplets of corresponding Sentinel-1 dual-pol SAR data, Sentinel-2 multi-spectral images, and MODIS-derived land cover maps. The patches are distributed across the land masses of the Earth and spread over all four meteorological seasons. This is reflected by the dataset structure. All patches are provided in the form of 16-bit GeoTiffs containing the following specific information:
- Sentinel-1 SAR: 2 channels corresponding to sigma nought backscatter values in dB scale for VV and VH polarization.
- Sentinel-2 Multi-Spectral: 13 channels corresponding to the 13 spectral bands (B1, B2, B3, B4, B5, B6, B7, B8, B8a, B9, B10, B11, B12).
- MODIS Land Cover: 4 channels corresponding to IGBP, LCCS Land Cover, LCCS Land Use, and LCCS Surface Hydrology layers.
Method of data assessment:
Semi-automatic download and image preparation using Google Earth Engine, Python and GDAL
Links:

SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION   

Key words:
Remote sensing, deep learning, data fusion, synthetic aperture radar imagery, optical imagery, land cover, classification
Technical remarks:
View and download (510 GB, 542.000 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1474000):
rsync rsync://m1474000@dataserv.ub.tum.de/m1474000/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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