Use of MODIS satellite images for detailed lake morphometry: Application to basins with large water level fluctuations |
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| Institution: | 1. Laboratory of Remote Sensing and GIS, Faculty of Agriculture, Aristotle University of Thessaloniki, Thessaloniki 54636, Greece;2. Department of Integrative Biology, University of South Florida, 4202 E. Fowler Ave. SCA 110, Tampa, FL 33620-8100, USA;3. Division of Hydraulics and Environmental Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki 54636, Greece;4. Department of Geodesy and Surveying, Aristotle University of Thessaloniki, Thessaloniki 54636, Greece;1. CIGEOBIO-CONICET, Gabinete de Neotectónica, Facultad de Ciencias Exactas, Físicas & Naturales, Universidad Nacional de San Juan, Av. Ignacio de La Roza oeste 590, J5402DCS, San Juan, Argentina;2. Laboratorio de Geomorfología y Cuaternario, CADIC-CONICET, Bernardo Houssay 200, Ushuaia, c.p:9410, Tierra del Fuego, Argentina;3. Instituto de Ciencias Polares y Ambiente y Recursos Naturales, Universidad Nacional de Tierra del Fuego, Onas 450, Ushuaia, c.p:9410, Tierra del Fuego, Argentina;1. Institute of Geodesy and Cartography, 27 Modzelewskiego St., 02-679 Warsaw, Poland;2. University of Khartoum, Department of Surveying Engineering, AL-Jama’a St., 321-11115 Khartoum, Sudan |
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| 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. |
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| Keywords: | Remote sensing Digital depth model Bathymetry Lake bottom Lake bed Sedimentation |
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