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S2 for Land and Water, Change Detection/Multi-temporal

UNIVERSITÀ DEGLI STUDI DI TRENTO (IT)

Summary

The project aims at defining the scientific methods and the related prototype algorithms for addressing three main challenges with the multispectral and multiresolution Sentinel 2 images: 1) change detection; 2) analysis of image time series; and 3) updating of land-cover maps.


Results

Information

Website
http://rsde.fbk.eu/projects/esa-seom-s2-4sci-land-and-water
Domain
Science
Prime contractor
UNIVERSITÀ DEGLI STUDI DI TRENTO (IT)
Subcontractors
  • FONDAZIONE BRUNO KESSLER FBK (IT)