干旱区生态环境知识资源中心(Arid): Water storage estimation in ungauged small reservoirs with the TanDEM-X DEM and multi-source satellite observations

Arid

DOI	10.1016/j.rse.2019.111437
	Water storage estimation in ungauged small reservoirs with the TanDEM-X DEM and multi-source satellite observations
	Vanthof, Victoria; Kelly, Richard
通讯作者	Vanthof, Victoria
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2019
卷号	235
英文摘要	Monitoring small water bodies ( < 50 ha) is difficult due to their size, limiting accurate assessments of surface water (SW) resources required for agricultural production and watershed hydrology. In environments where livelihoods depend on surface-water storage (SWS) structures, satellite altimetry-derived water levels are often unavailable. Therefore, seasonal reservoirs require a robust and cost-effective approach for estimating SWS. To approximate SWS throughout a typical environmental setting where irrigation reservoirs are found, we investigate the utility of TanDEM-X digital elevation model (DEM) to extract bathymetry of seasonal reservoir structures. Empirically-derived SWS relationships are combined with estimates of SW area from radar and multisource optical satellites to illustrate the potential for rapid SWS estimation using satellite-based SW extent as input. Two application examples illustrate the approach: (i) estimating the maximum volume of water in a southern Indian river basin for two monsoon seasons; and (ii) a time-series analysis using a high-volume of satellite observations to show the cycle of water (inflow and outflow) at the reservoir scale. SWS volumes at water levels below 1.5 m were estimated within an absolute volume error range of 6-8%. This study illustrates the applicability and challenges of using satellite remote sensing observations to continuously monitor reservoir SWS. Despite the cloud independent capability for operational monitoring of SW area, Sentinel-1 data should be combined with frequent and high spatial resolution CubeSat observations for hydrometric monitoring of reservoirs to reduce observation errors. Furthermore, we highlight the multi-sensor approach (optical and radar) to achieve high spatio-temporal resolution monitoring of small reservoirs over large spatial scales.
英文关键词	Semi-arid hydrology TanDEM-X DEM Sentinel-1 CubeSats Remote sensing of small reservoirs
类型	Article
语种	英语
国家	Canada
收录类别	SCI-E
WOS记录号	WOS:000501937600020
WOS关键词	UPPER EAST REGION ; SEMIARID ENVIRONMENT ; SURFACE-WATER ; DYNAMICS ; VOLUME ; CAPACITIES ; SECURITY ; BRAZIL
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词	2019-12-15
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311771
作者单位	Univ Waterloo, Geog & Environm Management, 200 Univ Ave W, Waterloo, ON N2L 3G1, Canada
推荐引用方式 GB/T 7714	Vanthof, Victoria,Kelly, Richard. Water storage estimation in ungauged small reservoirs with the TanDEM-X DEM and multi-source satellite observations[J],2019,235.
APA	Vanthof, Victoria,&Kelly, Richard.(2019).Water storage estimation in ungauged small reservoirs with the TanDEM-X DEM and multi-source satellite observations.REMOTE SENSING OF ENVIRONMENT,235.
MLA	Vanthof, Victoria,et al."Water storage estimation in ungauged small reservoirs with the TanDEM-X DEM and multi-source satellite observations".REMOTE SENSING OF ENVIRONMENT 235(2019).