Application of the Spectral Mixture Residual for Classifying Plant Communities in the Southeastern USA

Jennifer A. Rogers; Kevin M. Robertson; Eli Simonson; Dan Sousa

doi:10.1364/AIS.2023.JTu4A.4

Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2023),
paper JTu4A.4
•https://doi.org/10.1364/AIS.2023.JTu4A.4

Application of the Spectral Mixture Residual for Classifying Plant Communities in the Southeastern USA

Jennifer A. Rogers, Kevin M. Robertson, Eli Simonson, and Dan Sousa

Optics and Photonics for Sensing the Environment 2023

Munich Germany
30 July–3 August 2023
ISBN: 978-1-957171-24-1

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Joint Poster Session I and Coffee Break with Exhibitors (JTu4A)

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J. A. Rogers, K. M. Robertson, E. Simonson, and D. Sousa, "Application of the Spectral Mixture Residual for Classifying Plant Communities in the Southeastern USA," in Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2023), paper JTu4A.4.

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Abstract

We used hyperspectral satellite data (PRISMA) and random forest modeling to classify plant communities in the southeastern U.S. After comparing its effectiveness versus surface reflectance bands, we determined spectral Mixture Residual may improve biodiversity maps.

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