期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 52, 期 8, 页码 4942-4954出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2013.2285942
关键词
Leaf area profile; leaf physiology; light detection and ranging (LiDAR); multispectral; parameter inversion
类别
资金
- Engineering and Physical Sciences Research Council [EP/H022414/1, EP/J015180]
- Centre for Earth Observation and Instrumentation [4500134278]
- Conacyt
- Engineering and Physical Sciences Research Council [EP/J015180/1, EP/H022414/1, EP/K015338/1] Funding Source: researchfish
- Natural Environment Research Council [NE/H004173/1] Funding Source: researchfish
- EPSRC [EP/K015338/1, EP/J015180/1, EP/H022414/1] Funding Source: UKRI
- NERC [NE/H004173/1] Funding Source: UKRI
Multispectral light detection and ranging (LiDAR) has the potential to recover structural and physiological data from arboreal samples and, by extension, from forest canopies when deployed on aerial or space platforms. In this paper, we describe the design and evaluation of a prototype multispectral LiDAR system and demonstrate the measurement of leaf and bark area and abundance profiles using a series of experiments on tree samples viewed from above by tilting living conifers such that the apex is directed on the viewing axis. As the complete recovery of all structural and physiological parameters is ill posed with a restricted set of four wavelengths, we used leaf and bark spectra measured in the laboratory to constrain parameter inversion by an extended reversible jump Markov chain Monte Carlo algorithm. However, we also show in a separate experiment how the multispectral LiDAR can recover directly a profile of Normalized Difference Vegetation Index (NDVI), which is verified against the laboratory spectral measurements. Our work shows the potential of multispectral LiDAR to recover both structural and physiological data and also highlights the fine spatial resolution that can be achieved with time-correlated single-photon counting.
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