Proc. of the 2017 conference on Big Data from Space

A characteristic task in remote sensing Earth observation involves the registration of changes which may signal environmentally significant events. The Sentinel-1 synthetic aperture radar (SAR) and the Sentinel-2 optical/visible-infrared space-borne platforms, with spatial resolutions of the order of 10-20 meters and revisit times of the order of days, provide an attractive source of data for change detection tasks, the SAR imagery especially providing complete independence from solar illumination and cloud cover. A convenient source of such data is the Google Earth Engine which gives near real time data access and which has an application programming interface for the access and for the processing the data. Here we make open-source automatic change detection software and for optical data also automatic radiometric normalization software available.