0000000000424951

AUTHOR

Marta Rossi

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Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

2022

The recently launched and upcoming hyperspectral satellite missions, featuring contiguous visible-to-shortwave infrared spectral information, are opening unprecedented opportunities for the retrieval of a broad set of vegetation traits with enhanced accuracy through novel retrieval schemes. In this framework, we exploited hyperspectral data cubes collected by the new-generation PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite of the Italian Space Agency to develop and test a hybrid retrieval workflow for crop trait mapping. Crop traits were mapped over an agricultural area in north-east Italy (Jolanda di Savoia, FE) using PRISMA images collected during the 2020 and 202…

Machine learning regressionWater contentEarth ObservationComputers in Earth SciencesNitrogen contentRemote sensingEngineering (miscellaneous)Chlorophyll contentArticleAtomic and Molecular Physics and OpticsComputer Science ApplicationsISPRS Journal of Photogrammetry and Remote Sensing
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