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Abstract

Healthy vegetation function supports diverse biological communities and ecosystem processes, and provides crops, forest products, forage, and countless other benefits. Vegetation function can be assessed by examining dynamic processes and by evaluating plant traits, which themselves are dynamic. Using both trait-based and process-based approaches, spectroscopy can assess vegetation function at multiple scales using a variety of sensors and platforms ranging from proximal to airborne and satellite measurements. Since spectroscopic data are defined by the instruments and platforms available, along with their corresponding spatial, temporal and spectral scales, and since these scales may not always match those of the function of interest, consideration of scale is a necessary focus. For a full understanding of vegetation processes, combined (multi-scale) sampling methods using empirical and theoretical approaches are required, along with improved informatics.

Item Type:	Article
Authors/Creators:	Gamon, JA and Somers, B and Malenovsky, Z and Middleton, EM and Rascher, U and Schaepman, ME
Keywords:	plant traits, photosynthesis, gross primary production (GPP), spectroscopy, multi-scale sampling, solar-induced fluorescence (SIF), spectral reflectance, imaging spectrometry
Journal or Publication Title:	Surveys in Geophysics
Publisher:	Kluwer Academic Publ
ISSN:	0169-3298
DOI / ID Number:	10.1007/s10712-019-09511-5
Copyright Information:	Copyright 2019 The AuthorsLicensed under Creative Commons Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
Related URLs:	Google Scholar: Malenovsky, Z UTAS Profile: Malenovsky, Z
Item Statistics:	View statistics for this item

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