DOI: 10.5194/hess-20-1637-2016
Scopus记录号: 2-s2.0-84966270904
论文题名: Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
作者: Leitão J ; P ; , Moy De Vitry M ; , Scheidegger A ; , Rieckermann J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 4 起始页码: 1637
结束页码: 1653
语种: 英语
Scopus关键词: Digital instruments
; Forestry
; Geomorphology
; Meteorology
; Optical radar
; Quality control
; Regression analysis
; Tracking (position)
; Trees (mathematics)
; Unmanned aerial vehicles (UAV)
; Digital elevation model
; Explanatory variables
; Image overlapping
; Light detection and ranging
; Mini unmanned aerial vehicles
; Object representations
; Quantitative metrics
; Technological development
; Surveying
; accuracy assessment
; aerial photography
; climate conditions
; contour map
; digital elevation model
; lidar
; overland flow
; qualitative analysis
; regression analysis
; technological development
; unmanned vehicle
; urban area
; urban drainage
英文摘要: Precise and detailed digital elevation models (DEMs) are essential to accurately predict overland flow in urban areas. Unfortunately, traditional sources of DEM, such as airplane light detection and ranging (lidar) DEMs and point and contour maps, remain a bottleneck for detailed and reliable overland flow models, because the resulting DEMs are too coarse to provide DEMs of sufficient detail to inform urban overland flows. Interestingly, technological developments of unmanned aerial vehicles (UAVs) suggest that they have matured enough to be a competitive alternative to satellites or airplanes. However, this has not been tested so far. In this study we therefore evaluated whether DEMs generated from UAV imagery are suitable for urban drainage overland flow modelling. Specifically, 14 UAV flights were conducted to assess the influence of four different flight parameters on the quality of generated DEMs: (i) flight altitude, (ii) image overlapping, (iii) camera pitch, and (iv) weather conditions. In addition, we compared the best-quality UAV DEM to a conventional lidar-based DEM. To evaluate both the quality of the UAV DEMs and the comparison to lidar-based DEMs, we performed regression analysis on several qualitative and quantitative metrics, such as elevation accuracy, quality of object representation (e.g. buildings, walls and trees) in the DEM, which were specifically tailored to assess overland flow modelling performance, using the flight parameters as explanatory variables. Our results suggested that, first, as expected, flight altitude influenced the DEM quality most, where lower flights produce better DEMs; in a similar fashion, overcast weather conditions are preferable, but weather conditions and other factors influence DEM quality much less. Second, we found that for urban overland flow modelling, the UAV DEMs performed competitively in comparison to a traditional lidar-based DEM. An important advantage of using UAVs to generate DEMs in urban areas is their flexibility that enables more frequent, local, and affordable elevation data updates, allowing, for example, to capture different tree foliage conditions. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78860
Appears in Collections: 气候变化事实与影响
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作者单位: Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, Dübendorf, Switzerland
Recommended Citation:
Leitão J,P,, Moy De Vitry M,et al. Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas[J]. Hydrology and Earth System Sciences,2016-01-01,20(4)