DOI: 10.1016/j.jag.2016.11.004
Scopus记录号: 2-s2.0-85028511371
论文题名: Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest
作者: Alexander C ; , Korstjens A ; H ; , Hill R ; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 55 起始页码: 68
结束页码: 72
语种: 英语
英文关键词: Canopy height model
; Clustering
; Forest patches
; Habitat fragmentation
; Landscape ecology
; LiDAR
英文摘要: Mapping and monitoring tropical rainforests and quantifying their carbon stocks are important, both for devising strategies for their conservation and mitigating the effects of climate change. Airborne Laser Scanning (ALS) has advantages over other remote sensing techniques for describing the three-dimensional structure of forests. This study identifies forest patches using ALS-based structural attributes in a tropical rainforest in Sumatra, Indonesia. A method to group trees with similar attributes into forest patches based on Thiessen polygons and k-medoids clustering is developed, combining the advantages of both raster and individual tree–based methods. The structural composition of the patches could be an indicator of habitat type and quality. The patches could also be a basis for developing allometric models for more accurate estimation of carbon stock than is currently possible with generalised models. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79935
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Life and Environmental Sciences, Bournemouth University, Talbot Campus, Poole, Dorset, United Kingdom
Recommended Citation:
Alexander C,, Korstjens A,H,et al. Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,55