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Dynamics of water mass variations in lake/reservoir dominated regions from multi-sensor Earth observation data and hydrological model outputs

Publication Type : Book Chapter

Thematic Areas : Wireless Network and Application

Publisher : Ph.D. Dissertation, Online in the Library of the Technical University of Munich (TUM), Munich, Germany.

Source : Ph.D. Dissertation, Online in the Library of the Technical University of Munich (TUM), Munich, Germany (2017)

Url : https://mediatum.ub.tum.de/doc/1336040/document.pdf

Campus : Amritapuri

School : Department of Computer Science and Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Wireless Networks and Applications (AWNA)

Year : 2017

Abstract : This study focuses on deriving methods for a remote sensing based lake / reservoir volume estimation by applying heterogeneous multisensor Earth observation data and global hydrological models. The study estimates gravimetric and geometric variations ongoing in the Aral Sea and the Lake Mead regions. The results demonstrate that lakes / reservoirs can be effectively monitored using remote sensing data.

Cite this Research Publication : Alka Singh, “Dynamics of water mass variations in lake/reservoir dominated regions from multi-sensor Earth observation data and hydrological model outputs”, in Ph.D. Dissertation, Munich, Germany: Online in the Library of the Technical University of Munich (TUM), 2017.

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