SARAL/AltiKa Altimetry Data for Monitoring of Inland Water Body: a Case Study of Mayurakshi Reservoir, India
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SHORT NOTE
SARAL/AltiKa Altimetry Data for Monitoring of Inland Water Body: a Case Study of Mayurakshi Reservoir, India A. Sai krishnaveni 1 & V. M. Chowdary 1
&
D. Dutta 1 & J. R. Sharma 2 & V. K. Dadhwal 2
Received: 16 June 2015 / Accepted: 9 December 2015 # Indian Society of Remote Sensing 2016
Abstract Present study aims at monitoring of water levels for Mayurakshi reservoir (~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. Keywords Altimetry . SARAL/AltiKa . Reservoir . Monitoring . Mayurakshi
Introduction Monitoring the variation of water storage in the reservoirs is the most important issue for integrated water resources * V. M. Chowdary [email protected] 1
Regional Remote Sensing Centre-East, NRSC, New Town, Kolkata, West Bengal 700 156, India
2
National Remote Sensing Centre, Hyderabad 700 156, India
management at catchment scale. In situ reservoir level measurements referenced to a local datum often taken on a daily basis provide an excellent accuracy of ±1 cm (Birkett 1995). Although, water level and storage monitoring technologies and policies do exist in the developing countries, but often fail due to poor maintenance and implementation (Salami and Nnadi 2012). Of the possibilities for monitoring water level from space, altimetry has perhaps the greatest potential, which offers a unique way of providing relative lake level data in areas where ground gauge measurements are unavailable. Though, past and current satellite altimetry missions including GEOSAT, TOPEX/POSEIDON, ERS-1, ERS-2, ENVISAT, JASON 1, 2 and SARAL/AltiKa were primarily designed to study oceans and ice caps, but they are providing time series measurements of inland water levels continuously. Earlier studies utilized the standard altimetric geophysical data records (GDR) produced primarily for oceanographic purposes but with data available over some inland rivers and lakes, satellite radar altimetry has demonstrated a potential to provide lake and river/wetland height data by retracking the returned waveforms (Rapley 1990; Alsdorf 2003; Cretaux and Birkett 2006; Alsdorf et al. 2007; Calmant et al. 2008). Berry et al. (2005) showed that by retracking
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