Optimising prediction of forest leaf area index from discrete airborne lidar
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DOI: 10.1016/j.rse.2017.08.002
Abstract: Abstract Discrete airborne laser scanning (ALS) data has emerged as a useful tool for mapping forest leaf area index (LAI). Both empirical and physically-based approaches linking pulse penetration to LAI through gap probability theory have… read more here.
Keywords: area index; leaf area; model; forest leaf ... See more keywords