Quality assessment of shrub observation data based on TLS

A case of revegetated shrubland, Southern Qinghai‐Tibetan Plateau

Bibliographic Data

ID21647597
AuthorsJiarong Tian (0000-0002-9402-5668, Centre of Co‐Innovation for Sustainable Forestry in Southern China Nanjing Forestry University Nanjing PR China), Haidong Li (0000-0003-2443-5482, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing PR China, corresponding author), Xinyu Sun (0000-0002-0666-206X, Centre of Co‐Innovation for Sustainable Forestry in Southern China Nanjing Forestry University Nanjing PR China), Youfeng Zhou (Centre of Co‐Innovation for Sustainable Forestry in Southern China Nanjing Forestry University Nanjing PR China), Weibo Ma (0009-0006-4466-8493, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing PR China), Junsong Chen (0009-0002-4824-615X, JiangXi Academy of Forestry Nanchang PR China), Jun Song Chen (0000-0003-0116-8481, Jiangxi Academy of Forestry), Jing Zhang (0000-0002-6431-9286, Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing PR China), Yannan Xu (0009-0005-4195-0496, Centre of Co‐Innovation for Sustainable Forestry in Southern China Nanjing Forestry University Nanjing PR China, corresponding author)
Year2023
Volume34
Issue5
Pages1570-1581
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4554
OpenAlexW4312085973
LanguageEN
References cited31

Vegetation restoration is one of the effective measures to deal with land degradation, and shrubs, as the pioneer plants, can improve soil conditions and accelerate the recovery of desertification. In recent decades, single‐scan (SS) and multiple‐scan (MS) modes have been widely used for forest inventories by terrestrial laser scanner (TLS) but TLS‐based shrub observation, and data quality uncertainties are less studied, especially in eco‐fragile regions with high survey costs and harsh environmental conditions. In this study, two shrub sample plots with different topographic characteristics were selected as the study area in the southern Qinghai‐Tibetan Plateau. We compared the basic phenotypic parameters (BPPs) under SS and MS mode, including number (N), height (H) and crown width (CW), to evaluate the potential of SS mode in extracting vegetation attributes. Through the distribution of shrub information loss rate (L) with distance and shrub height, the limitations of SS mode in obtaining data were discussed. By combining the topographic features of scanning spots, topographic relief (T) and L, we provided reasonable opinions on TLS collection mode, setting of scanning spots, and other operational aspects. The results indicated that: (1) SS mode has good applicability in shrub observation under different terrain characteristics. (2) The height distribution of the shrub is the main factor affecting the quality of data collection, and the information loss bias caused by distance should be considered only in the shrub plots with uniform height distribution. (3) T has an impact on shrub growth but has no effect on the quality of data acquisition (no significant correlation between T and L). These findings will provide technical support for TLS data collection on ecological restoration of degraded grassland dunes

Biology · Geography · Habitat · Physical geography · Remote sensing · Shrub · Shrubland · Terrain · Computer Science · Environmental Science · Forest Ecology and Biodiversity Studies · Forest ecology and management · Materials Science · Mathematics · Remote Sensing and LiDAR Applications · Ecology · Geology · Soil Science

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