| The improvement of water level derived from satellite altimetry over the inland water body, Case study: Urmia Lake |
| Paper ID : 1259-SMPR |
| Authors: |
|
Reza Arabsahebi *1, Behzad Voosoghi1, Mohammad Javd Tourian2 1Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran 2Institute of Geodesy, University of Stuttgart, Germany |
| Abstract: |
| Urmia Lake, the second largest hyper-saline lake and one of the most important inland water bodies of the world, plays a significant role in environment and economy of the North-western part of Iran. It has experienced a dramatic water level reduction during 20-past years. Satellite altimetry is as a useful tool for measuring the water level over the water bodies. But, over the lake, this technique faces some challenges due to the land effect in satellite footprint. The aim of this study is to improve Urmia Lake’s water level derived from satellite altimetry missions (SARAL/AltiKa and Jason-2) from 2008 to 2017 based on Denoising-Classification-Retracking (DCR) of the waveforms. The results are validated against in-situ gauge data and also compared with results from PISTACH and PEACHI products. The proposed method improves the RMSE of water level with respect to those of PISTACH and PEACHI by 54% and 24%, respectively. The obtained results support urgent or long-term restoration plan of Urmia Lake and highlight the important role of space-borne sensors for hydrological applications. |
| Keywords: |
| satellite altimetry, denoising, classification, retracking, waveform |
| Status : Paper Accepted (Poster Presentation) |
