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- Document type:
- Forschungsdaten
- Publication date:
- 03.07.2018
- Responsible:
- Schmitt, Michael
- Authors:
- Schmitt, Michael
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- SEN1-2
- End date of data 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
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