Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data

Abstract Background The universal occurrence of randomly distributed dark holes (i.e., data pits appearing within the tree crown) in LiDAR-derived canopy height models (CHMs) negatively affects the accuracy of extracted forest inventory parameters. Methods We develop an algorithm based on cloth simu...

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Detalhes bibliográficos

Principais autores:	Wuming Zhang, Shangshu Cai, Xinlian Liang, Jie Shao, Ronghai Hu, Sisi Yu, Guangjian Yan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2020-01-01
coleção:	Forest Ecosystems
Assuntos:	Data pits Tree crown Canopy height models Cloth simulation Pit-free
Acesso em linha:	https://doi.org/10.1186/s40663-019-0212-0
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