Remote Sensing | |
Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery | |
Rafi Kent4  Jeremy A. Lindsell1  Gaia Vaglio Laurin2  Riccardo Valentini2  David A. Coomes4  Nicolas Baghdadi3  | |
[1] RSPB Centre for Conservation Science, The Lodge, Sandy, Bedfordshire SG19 2DL, UK; E-Mail:;Euro-Mediterranean Center for Climate Change (CMCC), IAFENT Division, via Pacinotti 5, Viterbo 01100, Italy; E-Mails:;id="af1-remotesensing-07-08348">Forest Ecology and Conservation Group, Department of Plant Sciences, University of Cambridge, Downing St., Cambridge CB2 3EA,;Forest Ecology and Conservation Group, Department of Plant Sciences, University of Cambridge, Downing St., Cambridge CB2 3EA, UK | |
关键词: gap size frequency distribution; old growth forest; re-growth forest; selective logging; moist tropical forest; Gola Rainforest National Park; Sierra Leone; MCMC; power-law; LiDAR; | |
DOI : 10.3390/rs70708348 | |
来源: mdpi | |
【 摘 要 】
Identifying historical forest disturbances is difficult, especially in selectively logged areas. LiDAR is able to measure fine-scale variations in forest structure over multiple kilometers. We use LiDAR data from
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190010320ZK.pdf | 1640KB | download |