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Document type:
Forschungsdaten 
Responsible:
Schmitt, Michael 
Authors:
Schmitt, Michael; Hughes, Lloyd 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
SEN12MS 
Time of production:
15.12.2017 
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften 
Resource type:
Abbildungen von Objekten / image of objects 
Data type:
Bilder / images 
Description:
SEN12MS is a dataset consisting of 180,748 corresponding image triplets containing Sentinel-1 dual-pol SAR data, Sentinel-2 multi-spectral imagery, and MODIS-derived land cover maps. 
Method of data assessment:
Semi-automatic download and image preparation using Google Earth Engine, Python and GDAL 
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