On the occasion of the Applied Geoinformatics for Society and Environment conference (AGSE 2019) planned in Stuttgart, Germany,  between 11 and 14 September 2019, the RUS service is organising a half-day training session on the synergy of optical and SAR data fusion for agriculture.

The use of open software tools such as ESA SNAP,  QGIS or R available within the RUS working environment will be demonstrated to run a supervised classification over an agricultural area using Sentinel-1 and Sentinel-2 products. Two of the most relevant machine learning algorithms – Random Forest (RF) and Support Vector Machine (SVM) – will be considered for this purpose. A multi-temporal and multi-sensor pixel-based data fusion approach will also be used in various scenarios to analyse the influence of different input data in the final classification accuracy.

Attendance to this session is free of charge but the application is open only to participants registered to the conference. More information is available on our training Web site.

RUS Training Session – Stuttgart – 13 Sept. 2019