Improving the bathymetric model of Lake Urmia in Iran using multispectral satellite data

Abstract

Improved bathymetric model of Lake Urmia derived from satellite images from Landsat sensors TM, ETM+, and OLI and recent bathymetric model, based on an echo sounding survey in 2017. The existing bathymetric data shows some inaccuracies in the shallow areas of the lake and was therefore replaced by satellite-based remote sensing derived data above an elevation of 1270.04 m. For this purpose, the extent of the lake's surface was extracted from 129 satellite images with different acquisition dates covering water levels ranging from 1270.04 m to 1278.42 m a.s.l. The resulting contour lines, were merged with existing data (deeper parts) and interpolated to generate the improved bathymetric model with a resolution of 30 × 30 m

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