HIGHLIGHTS
- who: Sara Mastrorosa and colleagues from the Geodesy and Geomatics Division-DICEA, Sapienza University of Rome, via Eudossiana, Rome, Italy have published the research work: Land Consumption Classification Using Sentinel 1 Data: A Systematic Review, in the Journal: Land 2023, 12, 932. of 25/04/2016
- what: The aim of this section is to analyze and compare existing methodologies used to classify land consumption with Sentinel-1 images. The aim of this paper is to analyze existing approaches dedicated to mapping land consumption exploiting freely accessible medium-resolution SAR images, such as Sentinel-1, since . . .
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