作者: Luxia Liu , Yong Pang , Zengyuan Li , Lin Si , Shengxi Liao
DOI: 10.3390/F8040111
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摘要: A critical component of the forest ecosystem, understorey supports vast majority wildlife habitat and total ecosystem floristic diversity. Remote sensing data have been developed to provide information at different scales for surveys ecosystems, but obtaining about remains a challenge. As rapid efficient tools structure attribute estimation, Airborne Laser Scanning (ALS) Terrestrial (TLS) attracted much attention. We examine relationship between ALS TLS detect changes in caused by forest-tending events study area. conducted trials five plots within young Khasi pine (Pinus kesiya Royle ex Gord.) plantation Yunnan province, China, before after tending. collected bi-temporal this area from 10 scanning stations. Canopy height profiles were retrieved data, material volume filled voxels agreed well with point clouds percentile distribution (PD) obtained data. The PD value multiplied percentage return points overstorey had stronger correlation (R2 = 0.90) TLS-derived than did only 0.71). Taking effect into consideration will improve evaluations parameters This confirmed potential as validation tool assess accuracy estimation large using