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The Dynamics of Water Storage Over Lake Eyre, Australia Observed by Satellite Data

Undergraduate #74
Discipline: Ecology Environmental and Earth Sciences
Subcategory: Environmental Engineering

Obeng Kwaku Buo - Borough of Manhattan Community College
Co-Author(s): Kibrewossen Tesfagiorgis, Borough of Manhattan Community College, New York, NY



This study investigated the dynamics of water storage over Lake Eyre, Australia using Polarization Ratio Variational Index (PRVI) values from The Advanced Microwave Scanning Radiometer (AMSR-E) and precipitation rate from the Tropical Rainfall Measuring Mission (TRMM). Lake Eyre, the largest lake in Australia and 18th largest in the world is an ephemeral lake that fills up on rare occasions. Satellite microwave data such as PRVI values from AMSR-E are sensitive to surface change which helps to monitor soil surface wetness from space to detect inundation, hence, in this study the PRVI values were used to observe the water storage variation in Lake Eyre. We examined monthly satellite precipitation rate from TRMM and PRVI from AMSR-E for the time frame of three years (2008-2010) to analyze the links between rainfall rate and water storage dynamics in the Lake. Overall results show that high rain rate in the Lake’s watershed is followed by high values of PRVI indicating water storage in the Lake. High values of PRVI are observed from April to November 2009 that is consistent with recorded rise of the Lake’s level by about 1.5 m during the same period. During dry seasons, there is a high possibility of drought in the Lake’s basin. In the future, we will also analyze the water storage variation against evapotranspiration which is the loss of water to the atmosphere from soil surfaces through evaporation.

Funder Acknowledgement(s): This project was made possible by the Research Experience for Undergraduates in the Louis Stokes Alliances for Minority Participation program funded by the National Science Foundation.

Faculty Advisor: Kibrewossen Tesfagiorgis,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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