Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
Remote Sensing of Environment
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Abstract
For two decades, remotely sensed data from imaging spectrometers have been used to estimate non-pigment biochemical constituents of vegetation, including water, nitrogen, cellulose, and lignin. This interest has been motivated by the important role that these substances play in physiological processes such as photosynthesis, their relationships with ecosystem processes such as litter decomposition and nutrient cycling, and their use in identifying key plant species and functional groups. This paper reviews three areas of research to improve the application of imaging spectrometers to quantify non-pigment biochemical constituents of plants. First, we examine recent empirical and modeling studies that have advanced our understanding of leaf and canopy reflectance spectra in relation to plant biochemistry. Next, we present recent examples of how spectroscopic remote sensing methods are applied to characterize vegetation canopies, communities and ecosystems. Third, we highlight the latest developments in using imaging spectrometer data to quantify net primary production (NPP) over large geographic areas. Finally, we discuss the major challenges in quantifying non-pigment biochemical constituents of plant canopies from remotely sensed spectra.
Suggested Citation
Kokaly, R., Asner, G.P., Ollinger, S., Martin, M., and Wessman, C., 2009, Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies: Remote Sensing of Environment, v. 113, no. SUPPL. 1, https://doi.org/10.1016/j.rse.2008.10.018.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies |
| Series title | Remote Sensing of Environment |
| DOI | 10.1016/j.rse.2008.10.018 |
| Volume | 113 |
| Issue | SUPPL. 1 |
| Year Published | 2009 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Remote Sensing of Environment |