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Assessing vegetation function with imaging spectroscopy
Citation
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]
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Copyright Statement
Copyright 2019 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
DOI: doi:10.1007/s10712-019-09511-5
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 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: | 23 |
| Deposited By: | Geography and Spatial Science |
| Deposited On: | 2019-05-20 |
| Last Modified: | 2020-05-19 |
| Downloads: | 5 View Download Statistics |
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