Recovery of Forest Canopy Parameters by Inversion of Multispectral LiDAR Data
نویسندگان
چکیده
منابع مشابه
Recovery of Forest Canopy Parameters by Inversion of Multispectral LiDAR Data
We describe the use of Bayesian inference techniques, notably Markov chain Monte Carlo (MCMC) and reversible jump MCMC (RJMCMC) methods, to recover forest structural and biochemical parameters from multispectral LiDAR (Light Detection and Ranging) data. We use a variable dimension, multi-layered model to represent a forest canopy or tree, and discuss the recovery of structure and depth profiles...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2012
ISSN: 2072-4292
DOI: 10.3390/rs4020509