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Assessing vegetation function with imaging spectroscopy


Gamon, JA and Somers, B and Malenovsky, Z and Middleton, EM and Rascher, U and Schaepman, ME, Assessing vegetation function with imaging spectroscopy, Surveys in Geophysics, 40, (3) pp. 489-513. ISSN 0169-3298 (2019) [Refereed Article]


Copyright Statement

Copyright 2019 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1007/s10712-019-09511-5


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 Details

Item Type:Refereed Article
Keywords:plant traits, photosynthesis, gross primary production (GPP), spectroscopy, multi-scale sampling, solar-induced fluorescence (SIF), spectral reflectance, imaging spectrometry
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:132788
Year Published:2019
Funding Support:Australian Research Council (FT160100477)
Web of Science® Times Cited:75
Deposited By:Geography and Spatial Science
Deposited On:2019-05-20
Last Modified:2022-08-23
Downloads:14 View Download Statistics

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