Remote sensing of water level and ice cover of large and middle-sized lakes of Russia

Galina Rybushkina; Yulia Troitskaya; Irina Soustova

doi:10.1117/12.2067340

21 October 2014 Remote sensing of water level and ice cover of large and middle-sized lakes of Russia

Galina Rybushkina, Yulia Troitskaya, Irina Soustova

Proceedings Volume 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI; 923922 (2014) https://doi.org/10.1117/12.2067340
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The use of satellite methods for inland waters is often difficult because of their spatial resolution comparable to or greater thatn the size of water resevoirs. Remote sensing with high spatial resolution is often associated with ea large repeat period of data, or with a significant dependence of the quality of data on weather conditions. In this regard, the sue of Jason-2 sattelite equipped with dual-frequency (13.6 GHz and 5 GHz) radar altimeters and passive three-frequency (18,21 and 37 GHz) microwave radiometers is of interest, because the footprint diameter of their altimeters in Ku-band is about 10km and the repeat period of observations is ten days, that make it suitable for observations of large and medium-sized inland waters. In this work we use the data of Jason-2 satellite to determine the water level variations ice-cover régime of 6 lakes in Russia, water areas of which are intersected by the tracks of this satellite. Variations in water level is calculated on the base of retracking method taking into account the fact that the waveforms of altimetry pulses of satellites Jason-2 are distorted due to the influence of land. Satellite data are compared with available in situ observations and the correlation coefficient with in situ is calculated. The ice regime of lakes is determined using the a new method based on the analysis of the difference between the brightness temperatures of land and water in summer and winter periods. For validation of this method the visual images of the lakes from Aqua and Landsat satellites and in situ data are used.

Citation Download Citation

Galina Rybushkina, Yulia Troitskaya, and Irina Soustova "Remote sensing of water level and ice cover of large and middle-sized lakes of Russia", Proc. SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, 923922 (21 October 2014); https://doi.org/10.1117/12.2067340

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KEYWORDS

Satellites

Backscatter

Remote sensing

Reflection

Satellite imaging

Spatial resolution

Detection and tracking algorithms

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