Sensors, Volume 21, Issue 4 (February-2 2021) – 534 articles
Cover Story (view full-size image): The PRISMA mission, funded by the Italian Space Agency (ASI), is an Earth Observation system with an innovative hyperspectral sensor with 240 bands, ranging between 400 and 2500 nm. In this paper, we compared for the first time PRISMA vs. the benchmark Sentinel-2 Multi-Spectral Instrument (MSI) imagery for forest-type discrimination. We used two different nomenclature systems through a pairwise separability analysis in two test areas in Tuscany (Italy). PRISMA imagery resulted in a better discrimination in all forest types, increasing the performance when increasing the complexity of the nomenclature system, with an average improvement of 40% against Sentinel-2 for the discrimination of coniferous vs. broadleaves and of 102% in the discrimination between five forest types based on main tree species groups. View this paper.
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