Performance evaluation of individual tree detection and segmentation algorithms using ALS data in Chir Pine (Pinus roxburghii) forest

The application of individual tree detection algorithms for assessing forest inventories and aiding decision-making in forestry has been a subject of research for more than two decades. Nevertheless, there is a notable research gap in the development of robust algorithms capable of automatically det...

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Bibliographic Details
Published in:	Remote sensing applications Vol. 34; p. 101178
Main Authors:	Saeed, Tahir, Hussain, Ejaz, Ullah, Sami, Iqbal, Javed, Atif, Salman, Yousaf, Mohsin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2024
Subjects:	Airborne laser scanner (ALS) algorithms canopy height Chir pine forests data collection decision making environment forest management Forest structure forests Individual tree detection ITD algorithms LiDAR Local maxima Pinus roxburghii species tree crown trees Individual tree detection ITD algorithms Forest structure LiDAR Chir pine forests Airborne laser scanner (ALS) Local maxima
ISSN:	2352-9385, 2352-9385
Online Access:	Get full text
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