Satellite based lake bed elevation model of Lake Urmia using time series of Landsat imagery

作者：Tanja Schröder, Elmira Hassanzadeh, Sahand Darehshouri, Massoud Tajrishy, Stephan Schulz · 发表于：Journal of Great Lakes Research · 年份：2022 · DOI：10.1016/j.jglr.2022.08.016 · 被引用次数：8 · 研究领域：Flood Risk Assessment and Management、Hydrology and Drought Analysis、Transboundary Water Resource Management

This study presents a lake bed elevation model of Lake Urmia. In the course of model generation, a time series of the extent of the lake surface was derived from 129 satellite images with different acquisition dates based on the Landsat sensors Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI). Due to the rapid shrinking of the lake during the last two decades, lake surface areas ranging from 890 km 2 to 6125 km 2 could be covered. The water edge of the various lake extents was then linked to the observed water level on the day of the satellite image acquisition. The resulting contour lines, covering water levels between 1270.04 m and 1278.42 m a.s.l. and thus representing the lakebed morphology in its shallow parts, were merged with existing data (deeper parts) and interpolated to generate a lake bed elevation model. Finally, Lake Urmia’s Level-Area-Volume relationships were derived from the lake bed elevation model and compared to bathymetric data previously published.