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www.hydrol-earth-syst-sci-discuss.net/7/103/2010/
doi:10.5194/hessd-7-103-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Monitoring temporary ponds dynamics in arid areas with remote sensing and spatial modelling
1SAS Nevantropic, 97300 Cayenne, French Guiana
2CIRAD, UPR AGIRs, 34398, Montpellier, France
3CIRAD, UMR TETIS, 34093, Montpellier, France
4CEMAGREF, UMR TETIS, 34093, Montpellier, France
5CNES, 31401, Toulouse, France
6IRD, UR 178, 34093, Montpellier, France
7IRD – UMR LTHE – 38400, Grenoble, France
8IRD, US ESPACE, 34093, Montpellier, France
Abstract. A hydrologic pond model was developed that simulates daily spatial and temporal variations (area, volume and height) of temporary ponds around Barkedji, a village located in the Ferlo Region in Senegal. The model was tested with rainfall input data from a meteorological station and from Tropical Rainfall Measuring Mission (TRMM) satellites. During calibration phase, we used climatic, hydrologic and topographic field data of Barkedji pond collected daily during the 2002 rainy season. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (DEM) and a QuickBird satellite image acquired in August 2005 (2.5 m pixel size) were used to apply the hydrologic model to all ponds (98 ponds) of the study area. With input rainfall data from the meteorological station, simulated water heights values for years 2001 and 2002 were significantly correlated with observed water heights for Furdu, Mous 2 and Mous 3 ponds, respectively with 0.81, 0.67 and 0.88 Nash coefficients. With rainfall data from TRMM satellite as model input, correlations were lower, particularly for year 2001. For year 2002, the results were acceptable with 0.61, 0.65 and 0.57 Nash coefficients for Barkedji, Furdu and Mous 3 ponds, respectively. To assess the accuracy of our model for simulating water areas, we used a pond map derived from Quickbird imagery (August 2007). The validation showed that modelled water areas were significantly correlated with observed pond surfaces (r2=0.90). Overall, our results demonstrate the possibility of using a simple hydrologic model with remote sensing data (Quickbird, ASTER DEM, TRMM) to assess pond water heights and water areas of a homogeneous arid area.
Discussion Paper (PDF, 1437 KB) Interactive Discussion (Closed, 5 Comments) Final Revised Paper (HESS)
Notice on Discussion StatusCitation: Soti, V., Puech, C., Lo Seen, D., Bertran, A., Vignolles, C., Mondet, B., Dessay, N., and Tran, A.: Monitoring temporary ponds dynamics in arid areas with remote sensing and spatial modelling, Hydrol. Earth Syst. Sci. Discuss., 7, 103-133, doi:10.5194/hessd-7-103-2010, 2010. Bibtex EndNote Reference Manager XML
