New generation hyperspectral sensors DESIS and PRISMA provide improved agricultural crop classifications

Photogrammetric Engineering & Remote Sensing
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Abstract

Using new remote sensing technology to study agricultural crops will support advances in food and water security. The recently launched, new generation spaceborne hyperspectral sensors, German DLR Earth Sensing Imaging Spectrometer (DESIS) and Italian PRecursore IperSpettrale della Missione Applicativa (PRISMA), provide unprecedented data in hundreds of narrow spectral bands for the study of the Earth. Therefore, our overarching goal in this study was to use these data to explore advances that can be made in agricultural research. We selected PRISMA and DESIS images during the 2020 growing season in California's Central Valley to study seven major crops. PRISMA and DESIS images were highly correlated (R 2of 0.9–0.95). Out of the 235 DESIS bands (400–1000 nm) and 238 PRISMA bands (400–2500 nm), 26 (11%) and 45 (19%) bands, respectively, were optimal to study agricultural crops. These optimal bands provided crop type classification accuracies of 83–90%. Hyperspectral vegetation indices to estimate plant pigment content, stress, biomass, moisture, and cellulose/lignin content were also identified.

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Publication type Article
Publication Subtype Journal Article
Title New generation hyperspectral sensors DESIS and PRISMA provide improved agricultural crop classifications
Series title Photogrammetric Engineering & Remote Sensing
DOI 10.14358/PERS.22-00039R2
Volume 88
Issue 11
Year Published 2022
Language English
Publisher American Society for Photogrammetry and Remote Sensing
Contributing office(s) Western Geographic Science Center
Description 15 p.
First page 715
Last page 729
Country United States
State California
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