A LiDAR-derived canopy density model for tree stem and crown mapping in Australian forests
The retrieval of tree and forest structural attributes from Light Detection and Ranging (LiDAR) data has focused largely on utilising canopy height models, but these have proved only partially useful for mapping and attributing stems in complex, multi-layered forests. As a complementary approach, this paper presents a new index, termed the Height-Scaled Crown Openness Index (HSCOI), which provides a quantitative measure of the relative penetration of LiDAR pulses into the canopy. The HSCOI was...[Show more]
|Collections||ANU Research Publications|
|Source:||Remote Sensing of Environment|
|01_Lee_A_LiDAR-derived_canopy_density_2007.pdf||2.53 MB||Adobe PDF||Request a copy|
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