期刊
SURVEYS IN GEOPHYSICS
卷 40, 期 3, 页码 489-513出版社
SPRINGER
DOI: 10.1007/s10712-019-09511-5
关键词
Plant traits; Photosynthesis; Gross primary production (GPP); Spectroscopy; Multi-scale sampling; Solar-induced fluorescence (SIF); Spectral reflectance; Imaging spectrometry
资金
- National Sciences and Engineering Research Council of Canada (NSERC)
- Canadian Foundation for Innovation (CFI)
- Australian Research Council Future Fellowship: Bridging scales in remote sensing of vegetation stress [FT160100477]
- University of Zurich Research Priority Program on Global Change and Biodiversit (URPP GCB)
- Belgian Science Policy Office in the framework of the STEREOIII program [SR/00/307, SR/01/349, SR/00/363]
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.
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