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Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection

文献类型：期刊论文

作者Tottrup, Christian5; Druce, Daniel5; Meyer, Rasmus Probst5; Christensen, Mads5; Riffler, Michael6; Dulleck, Bjoern6; Rastner, Philipp6; Jupova, Katerina7; Sokoup, Tomas7; Haag, Arjen8,9
刊名REMOTE SENSING
出版日期2022-05-01
卷号14期号:10页码:21
关键词surface water dynamics SAR and optical data data fusion water resource management Sustainable Development Goal 6
DOI10.3390/rs14102410
通讯作者Tottrup, Christian(cto@dhigroup.com)
英文摘要Climate change, increasing population and changes in land use are all rapidly driving the need to be able to better understand surface water dynamics. The targets set by the United Nations under Sustainable Development Goal 6 in relation to freshwater ecosystems also make accurate surface water monitoring increasingly vital. However, the last decades have seen a steady decline in in situ hydrological monitoring and the availability of the growing volume of environmental data from free and open satellite systems is increasingly being recognized as an essential tool for largescale monitoring of water resources. The scientific literature holds many promising studies on satellite-based surface-water mapping, but a systematic evaluation has been lacking. Therefore, a round robin exercise was organized to conduct an intercomparison of 14 different satellite-based approaches for monitoring inland surface dynamics with Sentinel-1, Sentinel-2, and Landsat 8 imagery. The objective was to achieve a better understanding of the pros and cons of different sensors and models for surface water detection and monitoring. Results indicate that, while using a single sensor approach (applying either optical or radar satellite data) can provide comprehensive results for very specific localities, a dual sensor approach (combining data from both optical and radar satellites) is the most effective way to undertake largescale national and regional surface water mapping across bioclimatic gradients.
WOS关键词FLOOD DETECTION ; IMAGES
资助项目European Space Agency (ESA) under the EO Science for Society programmatic element of the 5th Earth Observation Envelope Programme[EOEP-5] ; National Key Research and Development Program of China[2018YFE0106500]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000804348600001
资助机构European Space Agency (ESA) under the EO Science for Society programmatic element of the 5th Earth Observation Envelope Programme ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/178212]  
专题中国科学院地理科学与资源研究所
通讯作者Tottrup, Christian
作者单位1.EkoSource Insight Pty Ltd, ZA-2196 Johannesburg, South Africa
2.European Space Agcy, ESRIN, I-00044 Frascati, Italy
3.Vrije Univ Amsterdam, Fac Sci, NL-1081 HV Amsterdam, Netherlands
4.RSS Hydro SARLS, L-3593 Dudelange, Luxembourg
5.DHI AS, DK-2970 Hrsholm, Denmark
6.GeoVille GmbH, A-6020 Innsbruck, Austria
7.Gisat sro, Prague 17000, Czech Republic
8.Deltares, NL-2629 HV Delft, Netherlands
9.SERVIR Mekong, Bangkok 10400, Thailand
10.IRD CNRS Univ, Unite Mixte Rech 5563, Geosci Environm Toulouse Get, F-31400 Toulouse, France
推荐引用方式
GB/T 7714		 Tottrup, Christian,Druce, Daniel,Meyer, Rasmus Probst,et al. Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection[J]. REMOTE SENSING,2022,14(10):21.
APA Tottrup, Christian.,Druce, Daniel.,Meyer, Rasmus Probst.,Christensen, Mads.,Riffler, Michael.,...&Paganini, Marc.(2022).Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection.REMOTE SENSING,14(10),21.
MLA Tottrup, Christian,et al."Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection".REMOTE SENSING 14.10(2022):21.

入库方式： OAI收割

来源：地理科学与资源研究所

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