Resources and Links

SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion published

In accordance with our terms of reference (SAR big data provided by Sentinel-1, fusion of SAR and complementary data), WG I/3 is happy to announce the publication of the SEN1-2dataset for the fostering of deep learning approaches in SAR-optical data fusion. SEN1-2consists of 282,384 pairs of corresponding Sentinel-1 SAR and Sentinel-2 optical image patches, collected from across the globe  and throughout all meteorological seasons. It is intended to support the introduction of computer vision approaches to multi-sensor remote sensing and can be used for studies on image matching, image-to-image translation, or image colorization, to name just a few examples.

The dataset will officially be released in the frame of the ISPRS TCI Mid-Term Symposium with a corresponding paper published in the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Interested colleagues can already have a look at the paper preprint at The dataset can be downloaded from under a CC-BY license. 

WG I/3



DSM X Small

X P Combo Small




The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Our Contact

Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover