DOI: 10.1016/j.jag.2013.04.001
Scopus记录号: 2-s2.0-84888220676
论文题名: Characterization of the horizontal structure of the tropical forest canopy using object-based LiDAR and multispectral image analysis
作者: Dupuya S ; , Lainé G ; , Tassin J ; , Sarrailh J ; -M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 25, 期: 1 起始页码: 76
结束页码: 86
语种: 英语
英文关键词: Canopy height
; Horizontal structure
; LiDAR
; Multispectral
; OBIA
; Tropical forest
Scopus关键词: accuracy assessment
; digital elevation model
; digital terrain model
; forest canopy
; height
; image analysis
; lidar
; spatial resolution
; tropical forest
; Mayotte
英文摘要: This article's goal is to explore the benefits of using Digital Surface Model (DSM) and Digital Terrain Model (DTM) derived from LiDAR acquisitions for characterizing the horizontal structure of different facies in forested areas (primary forests vs. secondary forests) within the framework of an object-oriented classification. The area under study is the island of Mayotte in the western Indian Ocean. The LiDAR data were the data originally acquired by an airborne small-footprint discrete-return LiDAR for the "Litto3D" coastline mapping project. They were used to create a Digital Elevation Model (DEM) at a spatial resolution of 1 m and a Digital Canopy Model (DCM) using median filtering. The use of two successive segmentations at different scales allowed us to adjust the segmentation parameters to the local structure of the landscape and of the cover. Working in object-oriented mode with LiDAR allowed us to discriminate six vegetation classes based on canopy height and horizontal heterogeneity. This heterogeneity was assessed using a texture index calculated from the height-transition co-occurrence matrix. Overall accuracy exceeds 90%. The resulting product is the first vegetation map of Mayotte which emphasizes the structure over the composition. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79828
Appears in Collections: 气候变化事实与影响
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作者单位: CIRAD, UMR TETIS, F-34398 Montpellier, France; CIRAD, UPR BSEF, F-34398 Montpellier, France
Recommended Citation:
Dupuya S,, Lainé G,, Tassin J,et al. Characterization of the horizontal structure of the tropical forest canopy using object-based LiDAR and multispectral image analysis[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,25(1)