Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery

Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery

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 ca. 16 km2 of forest in Sierra Leone, West Africa, to discriminate areas of old-growth...

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Bibliographic Details
Main Authors: Rafi Kent, Jeremy A. Lindsell, Gaia Vaglio Laurin, Riccardo Valentini, David A. Coomes
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Remote Sensing
Subjects:
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
Online Access:http://www.mdpi.com/2072-4292/7/7/8348

Internet

http://www.mdpi.com/2072-4292/7/7/8348

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