Advancements in Individual Tree Detection and Forest Structural Attributes Estimation From LiDAR Data: MSITD and SAFER Approaches

Abstract Currently, the information on the structural attributes of forests, such as the diameter at breast height (DBH) and the aboveground biomass (AGB), is being used widely in various disciplines. In this study, we first proposed a novel tree detection algorithm called multi‐scale individual tre...

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Xehetasun bibliografikoak

Egile Nagusiak:	Mohammad Fallah, Hossein Aghighi, Aliakbar Matkan
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	American Geophysical Union (AGU) 2024-03-01
Saila:	Earth and Space Science
Gaiak:	forest structural attributes LiDAR individual tree detection machine learning algorithms semi‐supervised regression
Sarrera elektronikoa:	https://doi.org/10.1029/2023EA003306
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