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首页> 外文期刊>Journal of the Indian Society of Remote Sensing >SARAL/AltiKa Altimetry Data for Monitoring of Inland Water Body: a Case Study of Mayurakshi Reservoir, India
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SARAL/AltiKa Altimetry Data for Monitoring of Inland Water Body: a Case Study of Mayurakshi Reservoir, India

机译:SARAL / AltiKa高程数据用于内陆水体监测:以印度马尤拉克西水库为例

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摘要

Present study aims at monitoring of water levels for Mayurakshi reservoir (similar to 68 sq. km) located in the Jharkhand state, India using Geophysical Data Records (GDR) data from SARAL/AltiKa launched in February, 2013. Reservoir water levels for the period April, 2013 to December 2014 were derived from space using SARAL/AltiKa data. The absolute average difference, standard deviation and the Root Mean Square Error (RMSE) between altimetric data and gauge readings were 0.49, 0.29 and 0.56 m respectively. The accuracy of the relative water levels ranges between 0.008 and 0.8 m with a mean of 0.34 m, standard deviation of 0.27 m and RMSE of 0.44 m. Resulting time series of relative height changes and the amplitude variations are identical for most of the study period except during low stage, linked to the fact that some reservoir waveforms are season dependent. The results highlight the applicability of the SARAL/AltiKa data for monitoring small to medium reservoirs having surface area less than 100 sq. km.
机译:本研究旨在使用2013年2月发布的SARAL / AltiKa的地球物理数据记录(GDR)数据,对印度贾坎德邦的Mayurakshi水库(约68平方公里)的水位进行监控。该时期的水位使用SARAL / AltiKa数据从空间得出了2013年4月至2014年12月的数据。测高数据和量具读数之间的绝对平均差,标准偏差和均方根误差(RMSE)分别为0.49、0.29和0.56 m。相对水位的精度范围为0.008至0.8 m,平均值为0.34 m,标准偏差为0.27 m,RMSE为0.44 m。在大多数研究期间,相对的高度变化和幅度变化的时间序列是相同的,除了低阶段外,这与某些油藏波形取决于季节的事实有关。结果突出表明了SARAL / AltiKa数据在监测表面积小于100平方公里的中小型水库中的适用性。

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