Applying LiDAR Individual Tree Detection to Management of Structurally Diverse Forest Landscapes

Abstract LiDAR individual tree detection (ITD) is a promising tool for measuring forests at a scale that is meaningful ecologically and useful for forest managers. However, most ITD research evaluates methods over small homogeneous areas, while many forest managers work over large, complex landscape...

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Bibliographic Details
Published in:	Journal of forestry Vol. 116; no. 4; pp. 336 - 346
Main Authors:	Jeronimo, Sean M A, Kane, Van R, Churchill, Derek J, McGaughey, Robert J, Franklin, Jerry F
Format:	Journal Article
Language:	English
Published:	US Oxford University Press 29.06.2018 Springer Nature B.V
Subjects:	Accuracy Biomass California Coniferous forests Ecological monitoring Forest & brush fires Forest management forestry Forests Landscape Lidar Managers Mixed forests mountains Pseudotsuga menziesii Trees United States > US California individual tree detection Sierra National Forest forest landscape management LiDAR Yosemite National Park
ISSN:	0022-1201, 1938-3746, 1938-3746
Online Access:	Get full text
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