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Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing

Authored by: Angela Lausch , Pedro J. Leitão

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138058545
eBook ISBN: 9781315164151
Adobe ISBN:

10.1201/9781315164151-4

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Abstract

Vegetation diversity is multidimensional and tremendously complex in space and time. To understand the status, stress, disturbances, and resource limitations of vegetation diversity and consequently vegetation health and its resilience in ecosystems, there are two principal methodologies: (i) the in situ approach adopted by taxonomists and (ii) the remote sensing approach. Here, we describe both approaches and focus on the applicability, the advantages, the unique features, and limitations of hyperspectral remote sensing (HRS) technology for monitoring the status, stress, and shifts in four diversity characteristics: phylogenetic, taxonomic, structural, and functional diversity.

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