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Bathymetric and Geochemical Analysis of Lake Al-Saad, Abha, Kingdom of Saudi Arabia Using Geoinformatics Technology

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DOI: 10.4236/jgis.2014.65038    3,917 Downloads   4,464 Views   Citations


This study investigates the potential for remote sensing of lake water bathymetry and geochemical by 1) examining the empirical based technique for retrieving depth information from passive optical image worldview-2 satellite data, 2) performing atmospheric correction, 3) assessing the accuracy of spectrally based depth retrieval under field condition via field measurement, 4) producing bathometry and geochemistry mapping by examining spectral variations for identifying pairs of wavelengths that produce strong linear correlation coefficient between the band ratio. The results indicate that optical remote sensing of bathymetry and geochemical investigation is not only feasible but more accurate under conditions of typical lake water, supporting field survey. The Pearson correlation matrix (R) between the examined water samples/depth and the TOA reflectance values of the worldview-2 (WV-2) satellite data have been investigated and found good correlation. The models developed using the combination of different band pairs also show high accuracy. Cartographical maps were generated depending on the linear correlation coefficient between the measured parameters and the TOA reflectance values of the worldview-2 data. The investigation shows that dissolved oxygen (DO) of the lake water is slight lower than the permissible limit of Saudi standards for lake water. The shallow water has high DO concentration, whereas the deeper shows significantly lower down. Electrical conductivity measurements serve as a useful indicator of the degree of mineralization in the water sample. All the samples which have EC exceed limit. The spatial distribution of EC and TDS inferred that the EC and TDS concentration is the highest at the eastern part of the lake whereas concentration drops down towards the southern side. This study confirms that remote sensing incorporated with GIS and GPS could afford an integrated scheme for mapping water quality and bathometry of the surface water.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Mallick, J. , Hasan, M. , Alashker, Y. and Ahmed, M. (2014) Bathymetric and Geochemical Analysis of Lake Al-Saad, Abha, Kingdom of Saudi Arabia Using Geoinformatics Technology. Journal of Geographic Information System, 6, 440-452. doi: 10.4236/jgis.2014.65038.


[1] Liu, Y., Anisul, I.M. and Jay, Gao, J. (2003) Quantification of Shallow Water Quality Parameters. Progress in Physical Geography, 27, 24-43.
[2] Li, W., Hu, P., Xiao, D. and Liu, C. (2004) The Application of the Multi-Beam Sounding to the Marine Engineering Exploration. Geophysical & Geochemical Exploration, 28, 373-376.
[3] Lyzenga, D.R. (1978) Passive Remote Sensing Techniques for Mapping Water Depth and Bottom Features. Applied Optics, 17, 379-383.
[4] Philpot, W.D. (1989) Bathymetric Mapping with Passive Multispectral Imagery. Applied Optics, 28, 1569-1579.
[5] Lee, Z., Carder, K.L., Mobley, C.D., Steward, R.G. and Patch, J.S. (1999) Hyper-Spectral Remote Sensing for Shallow Waters: Deriving Bottom Depths and Water Properties by Optimization. Applied Optics, 38, 3831-3843.
[6] Stumpf, R.P. and Holderied, K. (2003) Determination of Water Depth with High-Resolution Satellite Imagery over Variable Bottom Types. Limnology and Oceanography, 48, 547-556.
[7] Lesser, M.P. and Mobley, C.D. (2007) Bathymetry, Water Optical Properties, and Benthic Classification of Coral Reefs Using Hyper-Spectral Remote Sensing Imagery. Coral Reefs, 26, 819-829.
[8] Singh, C.K., Kumari, R., Singh, N., Mallick, J. and Mukherjee, S. (2012) Fluoride Enrichment in Aquifers of Thar Desert: Controlling Factors and Its Geochemical Modeling. Hydrological Processes, John Wiley & Sons, Ltd., Hoboken.
[9] Jennifer, P.C. and Kendall, L.C. (2006) Estimating Chlorophyll a Concentrations from Remote-Sensing Reflectance in Optically Shallow Waters. Remote Sensing of Environment, 101, 13-24.
[10] Seelig, H.D. Hoehn, A., Stodieck, L.S., Klaus, D.M., Adams, W.W. and Emery, W.J. (2008) Relations of Remote Sensing Leaf Water Indices to Leaf Water Thickness in Cowpea, Bean, and Sugar Beet Plants. Remote Sensing of Environment, 112, 445-455.
[11] Wang, Y., Dong, W. and Zhang, P. (2007) Progress in Water Depth Mapping from Visible Remote Sensing Data. Marine Science Bulletin, 26, 92-101.
[12] Lyzenga, D.R. (1979) Shallow-Water Reflectance Modeling with Applications to Remote Sensing of Ocean Floor. Proceedings of the 13th International Symposium on Remote Sensing of Environment, 1, 583-602.
[13] Polcyn, F.C. and Lyzenga, D.R. (1973) Calculation of Water Depth from ERTS-MSS Data. Symposium on Significant Results Obtained from ERTS-1, NASA Specification Publication, 1433-1436.
[14] Brown, W.L., Polcyn, F.C. and Stewart, S.R. (1971) A Method for Calculating Water Depth, Attenuation Coefficients, and Bottom Reflectance Characteristics in Proceedings. 7th International Symposium on Remote Sensing of the Environment, Ann Arbor, May 1971, 663-680.
[15] Mallick, J., Alashker, Y., Al-Deen Mohammad, S., Ahmed, M. and Hasan, M.A. (2014) Risk Assessment of Soil Erosion in Semi-Arid Mountainous Watershed in Saudi Arabia by RUSLE Model Coupled with Remote Sensing and GIS. Geocarto International, 29, 915-940.
[16] Digital Globe (2010) Radiometric Use of Worldview-2 Imagery. Technical Note.
[17] Gordon, H.R. (1997) Atmospheric Correction of Ocean Color Imagery in the Earth Observing System Era. Journal of Geophysical Research-Atmospheres, 102, 17081-17106
[18] Gordon, H.R., Brown, O.B., Evans, R.H., Brown, J.W., Smith, R.C., Baker, K.S. and Clark, D.K. (1988) A Semi Analytic Radiance Model of Ocean Color. Journal of Geophysical Research-Atmospheres, 93, 10909-10924.
[19] Mobley, C.D. (1994) Light and Water: Radiative Transfer in Natural Waters. Academic, San Diego.
[20] Hansen, J.E. and Traves, L.D. (1974) Light Scattering in Planetary Atmospheres. Space Sciences Reviews, 16, 527-610.
[21] Voillier, M., Tanré, D. and Deschamps, P.Y. (1980) An Algorithm for Remote Sensing of Water Color from Space. Boundary Layer. Boundary-Layer Meteorology, 18, 247-267.
[22] Neckel, H. and Labs, D. (1981) Improved Data for Solar Spectral Irradiance from 0.33 to 1.25 Micrometers. Solar Physics, 74, 231-249.
[23] Marsaglia, G., Tsand, W.W. and Wang, J. (2003) Evaluating Kolmogorov’s Distribution. Journal of Statistical Software, 8, 1-4.
[24] Yalouris, K.P., Kollias, V., Lorentzos, N.A., Kalivas, D. and Sideridis, A.B. (1997) An Integrated Expert Geographical Information System for Soil Suitability and Soil Evaluation. Journal of Geographical Information Decision Analysis, 1, 90-100.
[25] Castrignano, A., Cherubini, C., GaisiConsetta, I., Musci, F. and Pastore, N. (2007) Multivariate Geostatistical and Natural Attenuation Model Approach for Remediation of Chlorinated Compounds. WSEAS Transactions on Environment and Development, 3, 90-98.
[26] Klein, L. (1973) River Pollution—Causes and Effects, Vol. 2. Butterworth and Co. Ltd., London.
[27] Chin, D.A. (2000) Water-Resources Engineering. Prentice-Hall Inc., Upper Saddle River, 585-635.
[28] Friedl, G., Teodoru, C. and Wehrli, B. (2004) Is the Iron Gate Reservoir on the Danube River a Sink for Dissolved Silica? Biogeochemistry, 68, 21-32.
[29] Goel, P.K., Gopal, B. and Trivedi, R. (1980) Impact of Sewage on Freshwater Ecosystems. II. Physicochemical Characteristics of Water and Their Seasonal Changes. International Journal of Ecology and Environmental Sciences, 6, 97-116.

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