Estimating Three-Dimensional Distribution of Leaf Area Using Airborne LiDAR in Deciduous Broad-Leaved Forest
نویسندگان
چکیده
We examined the performance of airborne light detection and ranging (LiDAR) data obtained in 2011 for leaf area estimation deciduous broad-leaved forest using Beer–Lambert law Takayama, Gifu, Japan. estimated index (LAI, allometry-LAI) vertical density (LAD) field survey by applying allometric equations to estimate leaf-area trees a Weibull distribution equation distribution. then extinction coefficients (Ke) LiDAR three height layers from ground canopy top LAD laser pulse The PAI (LiDAR-PAI) Ke, when treating canopies as layers, showed significant linear relationship with allometry-LAI (p < 0.001). However, LiDAR-PAI single layer saturated at six. It was similar lesser hemispherical photography or relative photosynthetic photon flux which treated layer, compared LAI measurements litter traps. is therefore important allocate distinct Ke values each multiple an accurate PAD data.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15123043