气候变化领域集成服务门户(CCPortal): Testing UAV-derived topography for hydraulic modelling in a tropical environment

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DOI	10.1007/s11069-020-03963-4
	Testing UAV-derived topography for hydraulic modelling in a tropical environment
	Mazzoleni M.; Paron P.; Reali A.; Juizo D.; Manane J.; Brandimarte L.
发表日期	2020
ISSN	0921030X
起始页码	139
结束页码	163
卷号	103 期号:1
英文摘要	The past few years have seen the raise of unmanned aerial vehicles (UAV) in geosciences for generating highly accurate digital elevation models (DEM) at low costs, which promises to be an interesting alternative to satellite data for small river basins. The reliability of UAV-derived topography as input to hydraulic modelling is still under investigation: here, we analyse potentialities and highlight challenges of employing UAV-derived topography in hydraulic modelling in a tropical environment, where weather conditions and remoteness of the study area might affect the quality of the retrieved data. We focused on a stretch of the Limpopo River in Mozambique, where detailed ground survey and airborne data were available. First, we tested and compared topographic data derived by UAV (25 cm), RTK-GPS (50 cm DEM), LiDAR (1 m DEM) and SRTM (30 m DEM); then, we used each DEM as input data to a hydraulic model and compared the performance of each DEM-based model against the LiDAR based model, currently used as benchmark by practitioners in the area. Despite the challenges experienced during the field campaign—and described here—, the degree of accuracy in terrain modelling produced errors in water depth calculations within the tolerances adopted in this typology of studies and comparable in magnitude to the ones obtained from high-precision topography models. This suggests that UAV is a promising source of geometric data even in natural environments with extreme weather conditions. © 2020, The Author(s).
关键词	Hydraulic model LiDAR RTK-GPS SRTM Tropical environment UAV-derived topography
英文关键词	aerial survey; digital elevation model; GPS; hydrological modeling; lidar; satellite data; topographic mapping; tropical environment; unmanned vehicle; Limpopo River
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205827
作者单位	Department of Earth Sciences, Uppsala University, Uppsala, 75236, Sweden; Centre of Natural Hazards and Disaster Science (CNDS), Uppsala, Sweden; IHE Delft, Institute for Water Education, Delft, Netherlands; Department of Sustainable Development, Environmental Sciences and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden; Universidade Eduardo Mondlane UEM, Maputo, Mozambique; Salomon Lda, Maputo, Mozambique; CONSULTEC Lda, Maputo, Mozambique
推荐引用方式 GB/T 7714	Mazzoleni M.,Paron P.,Reali A.,et al. Testing UAV-derived topography for hydraulic modelling in a tropical environment[J],2020,103(1).
APA	Mazzoleni M.,Paron P.,Reali A.,Juizo D.,Manane J.,&Brandimarte L..(2020).Testing UAV-derived topography for hydraulic modelling in a tropical environment.Natural Hazards,103(1).
MLA	Mazzoleni M.,et al."Testing UAV-derived topography for hydraulic modelling in a tropical environment".Natural Hazards 103.1(2020).