期刊
REMOTE SENSING
卷 10, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/rs10020199
关键词
Airborne remote sensing; Borneo; Carnegie Airborne Observatory; foliar traits; imaging spectroscopy; Malaysia; PLSR; Sabah; Spectranomics; tropical forest
类别
资金
- UN Development Programme GEF
- Avatar Alliance Foundation
- Roundtable on Sustainable Palm Oil
- Worldwide Fund for Nature
- Morgan Family Foundation
- Rainforest Trust
- Margaret A. Cargill Foundation
- David and Lucile Packard Foundation
- Gordon and Betty Moore Foundation
- Grantham Foundation for the Protection of the Environment
- William M. Keck Foundation
- John D. and Catherine T. MacArthur Foundation
- Andrew Mellon Foundation
Spatial information on forest functional composition is needed to inform management and conservation efforts, yet this information is lacking, particularly in tropical regions. Canopy foliar traits underpin the functional biodiversity of forests, and have been shown to be remotely measurable using airborne 350-2510 nm imaging spectrometers. We used newly acquired imaging spectroscopy data constrained with concurrent light detection and ranging (LiDAR) measurements from the Carnegie Airborne Observatory (CAO), and field measurements, to test the performance of the Spectranomics approach for foliar trait retrieval. The method was previously developed in Neotropical forests, and was tested here in the humid tropical forests of Malaysian Borneo. Multiple foliar chemical traits, as well as leaf mass per area (LMA), were estimated with demonstrable precision and accuracy. The results were similar to those observed for Neotropical forests, suggesting a more general use of the Spectranomics approach for mapping canopy traits in tropical forests. Future mapping studies using this approach can advance scientific investigations and applications based on imaging spectroscopy.
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