Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery

The 2018–2019 Central European drought had a grave impact on natural and managed ecosystems, affecting their health and productivity. We examined patterns in hyperspectral VNIR imagery using an unsupervised learning approach to improve ecosystem monitoring and the understanding of grassland drought...

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Hlavní autoři:	Floris Hermanns, Felix Pohl, Corinna Rebmann, Gundula Schulz, Ulrike Werban, Angela Lausch
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-05-01
Edice:	Remote Sensing
Témata:	vegetation stress detection unsupervised machine learning drought hyperspectral VNIR data monitoring solutions photochemical reflectance index
On-line přístup:	https://www.mdpi.com/2072-4292/13/10/1885
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