期刊论文

Ma, KS

英文

Remote Sensing

2072-4292

2024

16

15

2736-

10.3390/rs16152736

Conceptualization and methodology, X.Z. and K.M.; validation, K.M. and H.S.; formal analysis, K.M.; investigation, X.Z., K.M., C.L. and Y.W.; draft, X.Z., K.M. and H.S.; supervision, Y.W. and H.S.; review, editing, and revision, X.Z., K.M. and H.S.; funding acquisition, X.Z., C.L. and H.S. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Natural Science Foundation of China (No. 31971578 and 42171418), Hunan Provincial Natural Science Foundation of China (No. 2022JJ30078) and Research project of Hunan Provincial Department of Education under Grant 22C0522.

本校为第一机构

The main problems of forest parameter extraction and forest stand volume estimation using unmanned aerial vehicle light detection and ranging (UAV-LiDAR) technology are the lack of precision in individual tree segmentation and the inability to directly obtain the diameter at breast height (DBH) parameter. To address such limitations, the study proposed an improved individual tree segmentation method combined with a DBH prediction model to obtain the tree height (H) and DBH for calculating the volume of trees, thus realizing the accurate estimation of forest stand volume from individual tree se...