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Responsible:
Schmitt, Michael 
Authors:
Schmitt, Michael 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
SEN1-2 
Time of production:
15.12.2017 
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften 
Resource type:
Abbildungen von Objekten / image of objects 
Other resource types:
The dataset contains Copernicus data (2017). Terms and conditions  
Data type:
Bilder / images 
Description:
SEN1-2 is a dataset consisting of 282,384 pairs of corresponding synthetic aperture radar and optical image patches acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, respectively. 
Method of data assessment:
Semi-automatic download and image preparation using Google Earth Engine and MATLAB 
Key words:
Remote sensing, deep learning, data fusion, synthetic aperture radar imagery, optical imagery 
Technical remarks:
View and download (43.7 GB, 564,770 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1436631):
rsync rsync://m1436631@dataserv.ub.tum.de/m1436631/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0