Abstract
Water quality at Ömerli Dam, which is a vital potable water resource of Istanbul City, Turkey was assessed using the first four bands of Landsat 7-ETM satellite data, acquired in May 2001 and water quality parameters, such as chlorophyll-a, suspended solid matter, secchi disk and total phosphate measured at several measurement stations at Ömerli Dam during satellite image acquisition time and archived at the Marine Pollution and Ecotoxicology laboratory of the Marmara Research Center, where this study was carried out. Establishing a relationship between this data, and the pixel reflectance values in the satellite image, chlorophyll-a, suspended solid matter, secchi disk and total phosphate maps were produced for the Ömerli Dam.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Bartholomew, P. (2002). Mapping and modeling chlorophyll-a concentrations in the Lake Manassas reservoir using landsat. M.S. Thesis, Faculty of Virginia Polytechnic Institute and State University.
Bhavsar, P. (1984). Review of remote sensing applications in hydrology and water sources management in India. Advances in Space Research, 4(11), 193–200.
Boland, D. H. P. (1976). Trophic classification of lakes using landsat-1 (ERTS-1) multispectral scanner data. Report no. EPA-600/3-76-037. Corvallis, OR: U.S. Environmental Protection Agency, Corvallis Environmental Research Laboratory.
Brown, D., Warwick, R., Cavalier, L., & Roller, M. (1977a). The persistence and condition of Douglas County, Minnesota lakes. Report no. 5021. Minneapolis, MN: Minnesota Land Management Information System, Center for Urban and Regional Affairs, University of Minnesota.
Brown, D., Warwick, R., & Skaggs, R. (1977b). Reconnaissance analysis of lake condition in east–central Minnesota. Report no. 5022 (19 p.). Minneapolis, MN: Minnesota Land Management Information System, Center for Urban and Regional Affairs, University of Minnesota.
Büttner, G., Korandi, M., Gyömörei, A., Köte, Z., & Szabo, G. (1987). Satellite remote sensing of inland waters: Lake Balaton and reservoir Kisköre. Acta Astronautica, 15(6/7), 305–311.
Chavez, P. S. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, 459–479.
Cox, R. M., Forsythe, R. D., Vaughan, G. E., & Olmsted L. L. (1998). Assessing water quality in the Catawba River reservoirs using Landsat thematic mapper satellite data. Lake and Reservoir Management, 14, 405–416.
Dekker, A. G., & Peters, S. W. M. (1993). The use of the Thematic Mapper for the analysis of eutrophic lakes: A case study in the Netherlands. International Journal of Remote Sensing, 14, 799–821.
Kloiber, S. M., Anderle, T., Brezonik, P. L., Olmanson, L. G., Bauer, M. E., & Brown, D. (2000). Trophic state assessment of lakes in the Twin Cities (Minnesota, USA) region by satellite imager. Archiv fur Hydrobiologie. Special Issues Advance Limnology, 55, 137–151.
Kloiber, S. M., Brezonik, P. L., Olmanson, L. G., & Bauer, M. E. (2002). A procedure for regional lake water clarity assessment using Landsat multispectral data. Remote Sensing of Environment, 82, 38–47.
Landsat 7 Science Data Users Handbook (Sections 11.3.1 and 11.3.2). Cited December 6, 2006, at http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_htmls/chapter11/chapter11.html.
Lathrop, R. G. (1992). Landsat thematic mapper monitoring of turbid inland water quality. Photogrammetric Engineering and Remote Sensing, 58, 465–470.
Lathrop, R. G., & Lillesand, T. M. (1986). Utility of thematic mapper data to assess water quality in southern Green Bay and west–central Lake Michigan. Photogrammetric Engineering and Remote Sensing, 52, 671–680.
Lathrop, R., Lillesand, T. M., & Yandell, B. (1991). Testing the utility of simple multi-date thematic mapper calibration algorithms for monitoring turbid inland waters. International Journal of Remote Sensing, 12, 204–206.
Lillesand, T. M., Johnson, W. L., Deuell, R. L., Lindstrom, O. M., & Meisner, D. E. (1983). Use of Landsat data to predict the trophic state of Minnesota lakes. Photogrammetric Engineering and Remote Sensing, 49, 219–229.
Olmanson, L. (1997). Satellite remote sensing of the trophic state conditions of the lakes in the Twin Cities metropolitan area. M.S. Paper, Graduate Program in Water Resources Science, University of Minnesota, St. Paul, MN.
Richter, R. (1996). Atmospheric correction of satellite data with haze removal including a haze/clear transition region. Computers and Geosciences, 22(6), 675–681.
Rice, D. P., & Odenweiler, J. B. (1990). External effects correction of Landsat Thematic Mapper data. ISPRS Journal of Photogrammetry and Remote Sensing, 44, 355–368.
Scarpace, F. L., Holmquist, K. W., & Fisher, L. T. (1979). Landsat analysis of lake quality. Photogrammetric Engineering and Remote Sensing, 45(5), 623–633.
Witzig, A. S., & Whitehurst, C. A. (1981). Current use and technology of Landsat MSS data for lake trophic classification. Water Resources Bulletin, 17, 962–970.
Wynne, R. (2002). Class notes from remote sensing of natural resources, Forestry 5204. Blacksburg, VA: Virginia Polytechnic Institute and State University.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Alparslan, E., Aydöner, C., Tufekci, V. et al. Water quality assessment at Ömerli Dam using remote sensing techniques. Environ Monit Assess 135, 391–398 (2007). https://doi.org/10.1007/s10661-007-9658-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10661-007-9658-6