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Use of MODIS satellite images for detailed lake morphometry: Application to basins with large water level fluctuations

Use of MODIS satellite images for detailed lake morphometry: Application to basins with large water level fluctuations

Authors :
Thomas Alexandridis
Charalampos Skoulikaris
George Ovakoglou
Thomas L. Crisman
George Vergos
Source :
International Journal of Applied Earth Observation and Geoinformation. 51:37-46
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Lake morphometry is essential for managing water resources and limnetic ecosystems. For reservoirs that receive high sediment loads, frequent morphometric mapping is necessary to define both the effective life of the reservoir and its water storage capacity for irrigation, power generation, flood control and domestic water supply. The current study presents a methodology for updating the digital depth model (DDM) of lakes and reservoirs with wide intra and interannual fluctuations of water levels using satellite remote sensing. A time series of Terra MODIS satellite images was used to map shorelines formed during the annual water level change cycle, and were validated with concurrent Landsat ETM+ satellite images. The shorelines were connected with in-situ observation of water levels and were treated as elevation contours to produce the DDM using spatial interpolation. The accuracy of the digitized shorelines is within the mapping accuracy of the satellite images, while the resulting DDM is validated using in-situ elevation measurements. Two versions of the DDM were produced to assess the influence of seasonal water fluctuation. Finally, the methodology was applied to Lake Kerkini (Greece) to produce an updated DDM, which was compared with the last available bathymetric survey (1991) and revealed changes in sediment distribution within the lake.

Details

ISSN :
15698432
Volume :
51
Database :
OpenAIRE
Journal :
International Journal of Applied Earth Observation and Geoinformation
Accession number :
edsair.doi...........8d338059b7b06dd9c2a19a8324a9df9a
Full Text :
https://doi.org/10.1016/j.jag.2016.04.007