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Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. (arXiv:2207.02482v1 [cs.LG])
July 7, 2022, 1:10 a.m. | Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
cs.LG updates on arXiv.org arxiv.org
Diversity of terrestrial plants plays a key role in maintaining a stable,
healthy, and productive ecosystem. Though remote sensing has been seen as a
promising and cost-effective proxy for estimating plant diversity, there is a
lack of quantitative studies on how confidently plant diversity can be inferred
from spaceborne hyperspectral data. In this study, we assessed the ability of
hyperspectral data captured by the DLR Earth Sensing Imaging Spectrometer
(DESIS) for estimating plant species richness in the Southern Tablelands and …
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