DOI: 10.1016/j.jag.2016.08.003
Scopus记录号: 2-s2.0-85003823194
论文题名: Extracting cross sections and water levels of vegetated ditches from LiDAR point clouds
作者: Roelens J ; , Dondeyne S ; , Van Orshoven J ; , Diels J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 53 起始页码: 64
结束页码: 75
语种: 英语
英文关键词: Cross section
; Ditch
; Intensity
; LiDAR
; RGB
Scopus关键词: catchment
; channel flow
; cross section
; data acquisition
; drainage network
; hydrological modeling
; hydrological response
; lidar
; water level
英文摘要: The hydrologic response of a catchment is sensitive to the morphology of the drainage network. Dimensions of bigger channels are usually well known, however, geometrical data for man-made ditches is often missing as there are many and small. Aerial LiDAR data offers the possibility to extract these small geometrical features. Analysing the three-dimensional point clouds directly will maintain the highest degree of information. A longitudinal and cross-sectional buffer were used to extract the cross-sectional profile points from the LiDAR point cloud. The profile was represented by spline functions fitted through the minimum envelop of the extracted points. The cross-sectional ditch profiles were classified for the presence of water and vegetation based on the normalized difference water index and the spatial characteristics of the points along the profile. The normalized difference water index was created using the RGB and intensity data coupled to the LiDAR points. The mean vertical deviation of 0.14 m found between the extracted and reference cross sections could mainly be attributed to the occurrence of water and partly to vegetation on the banks. In contrast to the cross-sectional area, the extracted width was not influenced by the environment (coefficient of determination R2 = 0.87). Water and vegetation influenced the extracted ditch characteristics, but the proposed method is still robust and therefore facilitates input data acquisition and improves accuracy of spatially explicit hydrological 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/80105
Appears in Collections: 气候变化事实与影响
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作者单位: Division of Soil and Water Management, Department of Earth & Environmental Sciences, KU Leuven, Celestijnenlaan 200E ⿿ bus 2411, Leuven, Belgium; Division of Forest, Nature and Landscape, Department of Earth & Environmental Sciences, KU Leuven, Celestijnenlaan 200E ⿿ bus 2411, Leuven, Belgium
Recommended Citation:
Roelens J,, Dondeyne S,, Van Orshoven J,et al. Extracting cross sections and water levels of vegetated ditches from LiDAR point clouds[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,53