Trophic State Index derivation through the remote sensing of Case-2 water bodies in the Mediterranean region

Open Geosciences - 2014
Christiana Papoutsa1, Evangelos Akylas1, Diofantos G. Hadjimitsis1
1Dept. of Civil Engineering and Geomatics, Remote Sensing and Geo-Environment Lab, School of Engineering and Technology, Cyprus Univ. of Technology, 2-8 Saripolou, 3036, Lemesos, Cyprus

Tóm tắt

AbstractThe main goal of this study is the derivation of Carlson’s Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating ‘TSI Versus Band2/Band3’, with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSI SD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.

Từ khóa


Tài liệu tham khảo

Borja, Á, I., Galparsoro, O., Solaun, I. Muxika, E. M. Tello, A., Uriarte, and V., Valencia. “The European Water Framework Directive and the DPSIR, a methodological approach to assess the risk of failing to achieve good ecological status”, Journal of Estuarine, Coastal and Shelf Science, Vol. 66(1–2), pp. 84–96 (2006). doi:10.1016/j.ecss.2005.07.021

García-Ruiz, J. M., J. I., López-Moreno, S. M., Vicente-Serrano, T., Lasanta-Martíneza, and S., Beguería. “Mediterranean water resources in a global change scenario”, Journal of Earth-Science Reviews, Vol. 105(3–4), pp. 121–139 (2011). doi:10.1016/j.earscirev.2011.01.006

Härmä, P., J., Vepsäläinen, T., Hannonen, T., Pyhälahti, J., Kämäri, K., Kallio, K., Eloheimo, and S., Koponen. “Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland”, The Science of the Total Environment, Vol. 268, pp. 107–121 (2001). PII: S 0 PII: S0048 - 9697 (00) 00688 - 4.

Dekker, A. G., and S. W. M., Peters. “The use of the Thematic Mapper for the analysis of eutrophic lakes: A case study in the Netherlands”, International Journal of Remote Sensing, Vol. 14, pp. 799–821 (1993).

Yacobi, Y. Z., A., Gitelson, and M., Mayo. “Remote sensing of chlorophyll in Lake Kinneret using high-spectral-resolution radiometer and Landsat TM: Spectral features of reflectance and algorithm development”, Journal of Plankton Research, Vol. 17, pp. 2155–2173 (1995).

Reif, M., C., Piercy, J., Jarvis, Br., Sabol, Ch., Macon, R., Loyd, Ph., Colarusso, H., Dierssen, and J., Aitken. “Ground Truth Sampling to Support Remote Sensing Research and Development: Submersed Aquatic Vegetation Species Discrimination Using an Airborne Hyperspectral/Lidar System”, ERDC TN-DOER-E30 (2012).

Lillesand, T.M., R.W., Kiefer, and J. W., Chipman, “Remote sensing and image interpretation”, 5th ed. Hoboken, NJ: John Wiley & Sons (2004).

Sawaya, K. E., L. G. Olmanson, N. J. Heinert, P. L. Brezonik, and M. E. Bauer, “Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery”, Remote Sensing of Environment, Vol. 88, pp. 144–156 (2003). doi:10.1016/j.rse.2003.04.0006

Lung, W.S., “Assessing phosphorus control in the James River Basin”. Journal of Environmental Engineering, Vol. 112(1), pp.44–60 (1986).

Kuo, J.T., J.H. Wu, and W.S. Chu. Water quality simulation of Te-Chi Reservoir using two-dimensional dodels. Wat. Sci. Tech 30(2):63–72 (1994).

Senay, G. B., N. A. Shafique, Br. C. Autrey, Fl. Fulk, and S. M. Cormier, “The Selection of Narrow Wavebands for Optimizing Water Quality Monitoring on the Great Miami River, Ohio using Hyperspectral Remote Sensor Data”, Journal of Spatial Hydrology.

Lillesand, T.M., Johnson, W.L., Deuell, R.L., Lindstrom, O.M., Meisner, D.E., “Use of Landsat data to predict the trophic state of Minnesota lakes”. Photogrammetric Engineering and Remote Sensing, Vol. 49, pp. 219–229 (1983).

Baban, S.M.J., “Detecting water quality parameters in Norfolk Broads, UK, using Landsat imagery”. International Journal of Remote sensing, Vol. 14,(7), pp.1247–1267 (1993).

Harding, L.W., E.C. Itsweire, and W.E. Esalas, “Algorithm development for recovering chlorophyll concentrations in the Chesapeake Bay using aircraft remote sensing, 1989–91”. Photogrammetric Engineering & Remote Sensing, 61(2), pp.177–185 (1995).

Giardiano, C., Pepe, M., Brivio, P.A., Ghezzi, P., Zilioli, E., “Detecting chlorophyll, secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery”. The Science of the Total Environment, Vol. 268, pp.19–29 (2001).

Kloiber, S. M., Brezonik, P. L., Olmanson, L. G., & Bauer, M. E., “A procedure for regional lake water clarity assessment using Landsat multispectral data”. Remote Sensing of Environment, Vol. 82(1), pp.38–47 (2002).

Wang, Y.P., Xia, H., Fu, J.M., Sheng, G.Y., “Water quality change in reservoirs of Shenzhen, China: detection using LANDSAT TM data”. Science of the Total Environment, Vol. 328, pp.195–206 (2004).

Zhengjun, W., H. Jianming, D. Guisen. “Use of satellite imagery to assess the trophic state of Miyun Reservoir, Beijing, China”, Environmental Pollution, Vol. 155, pp. 13–19, (2008). doi:10.1016/j.envpol.2007.11.003

Sváb, E., A. N., Tyler, T., Preston, M., Présing, and K. V., Balogh. “Characterizing the spectral reflectance of algae in lake waters with high suspended sediment concentrations”. International Journal of Remote Sensing, Vol. 26(5), pp. 919–928 (2005). doi:10.1080/0143116042000274087.

Hudson, S. J., G. F., Moore, A. J., Bale, K. R., Dyer, and J., Aitken, “An operational approach to determining suspended sediment distributions in the Humber estuary by airborne multi-spectral imagery”. Proceedings of the First Airborne Remote Sensing Conference and Exhibition, Strasbourg, France, 11–15 September (1994).

Xu, F.-L., Sh., Tao, R. W., Dawson, B.-G., Li, “A GIS-based method of lake eutrophication assessment”. Ecological Modelling, Vol. 144, pp. 231–244 (2001). PII: S0304-3800(01)00374-X

Han, L. and D. C. Rundquist, “Comparison of NWRED Ratio and First Derivative of Reflectante in Estimating Algal-Chlorophyll Concentration: A Case Study in a Turbid Reservoir”. Remote Sensing of Environment, Vol. 62, pp. 253–261, (1997).

Horne, A.J., Goldman, C.R., 1994. Limnology, Second ed. McGraw Hill, New York.

Carlson, R. E., “A trophic state index for lakes”, Limnology and oceanography, Vol. 22(2), pp. 361–369 (1977).

Baban, Serwan M. J., “Trophic classification and ecosystem checking of lakes using remotely sensed information”. Hydrological Sciences Journal, Vol. 41(6), pp. 939–957 (1996). doi:10.1080/02626669609491560.

Peckham, V., J. W., Chipman, T. M., Lillesand, and S. I., Dodson, “Alternate stable states and the shape of the lake trophic distribution”. Hydrobiologia, Vol. 571, pp. 401–407 (2006). doi:10.1007/s10750-006-0221-1

Thiemann, S., and H., Kaufmann, “Determination of Chlorophyll Content and Trophic State of Lakes Using Field Spectrometer and IRS-1C Satellite Data in the Mecklenburg Lake District, Germany”. Remote Sensing of Environment, Vol. 73, pp.227–235 (2000). PII S0034-4257(00)00097-3.

Kloiber, S.M., T. Anderle, P.L. Brezonik, L.G. Olmanson, M.E. Bauer, and D.A. Brown, “Trophic state assessment of lakes in the Twin Cities (Minnesota, USA) region by satellite imagery”. Arch. Hydrobiol. Ergebn. Limnol. Vol.55, pp.137–151 (2000).

Oikonomou, A., M., Katsiapi, H. Karayanni, M. Moustaka-Gouni, and K. Ar. Kormas, “Plankton Microorganisms Coinciding with Two Consecutive Mass Fish Kills in a Newly Reconstructed Lake. The Scientific World Journal, Vol. 2012, Article ID 504135, 14 pg. doi:10.1100/2012/504135

Papoutsa, C., and D. G., Hadjimitsis, “Remote Sensing for Water Quality Surveillance in Inland Waters: The Case Study of Asprokremmos Dam in Cyprus”, Remote Sensing of Environment: Integrated Approaches, 2013. Retrieved from http://cdn-intechopen.com/pdfs/45146/InTech-Remote-sensing-for-water-quality-surveillance-in-inland-waters-the-case-study-of-asprokremmos-dam-in-cyprus.pdf

Hadjichristophorou, M., 2008. “Lead shot at Larnaca Salt Lake — Assessment and Restoration Activities”. Department of Fisheries and Marine Research (DFMR), Cyprus.

Williams, W.D., “Environmental threats to salt lakes and the likely status of inland saline ecosystems in 2025”, Journal of the Environmental Conservation, Vol.29(2): pp.154–167 (2002).

Wharton, D.A., 2002. “Life at the limits. Organisms in extreme Environments”, Cambridge University Press. pp. 319.

Hadjichristophorou, M., 2004. “The Larnaca Salt Lakes”, Information leaflet of the Department of Fisheries and Marine Research. Ministry of Agriculture Natural Resources and Environment. Nicosia, Cyprus.

Demetropoulos, A., 2006. “Sustainability and Protection of Freshwater Ecosystems in Cyprus” Report to DFMR in the context of the CONFRESH Project. Nicosia, Cyprus.

Andreas Demetropoulos, 2002. “Cyprus National Report on the Strategic Action Plan for the Conservation of Marine and Coastal Biological Diversity in the Mediterranean (SAP-BIO)”, Prepared for and sponsored by the Regional Activity Centre for Specially Protected Areas (RAC/SPA) Tunis, Tunisia. http://medmpa.rac-spa.org/pdf/cyprus-fr.pdf

Department of Environment ministry of agriculture, natural recourses and environment, 2010. “Fourth National Report to the United Nations Convention on Biological Diversity”, September 2010, Nicosia, Cyprus.

Loukas, A., N. Mylopoulos, L. Vasiliades, H. Tarnanas, J. Polykretis & A. Dimitriou, 2005. “Sustainable water Resources management in Pinios River and Lake Karla Basins, Thessaly, Greece”, 6th International Conference of EWRA, “Sharing a common vision for our Water Resources”; 7-10 September 2005, Menton-France: pp. 1–10.

Kokkinos K. and N. Mylopoulos, 2007. “The Lake KARLA Basin in Thessaly, Greece”, 2nd Open MI-LIFE Workshop, CEH, Wallingford, 20–21 November 2007, UK. http://www.openmi-life.org/events/secondWorkshop/UTH-2nd-OpenMI-Life-Workshop.pdf

Papadimitriou, Th., Z. Stampouli, and If. Kagalou. “Preliminary Results on the cyanotoxicity in the “new” Lake Karla (Thessaly — Greece)”, Proceedings of the 12th International Conference on Environmental Science and Technology Rhodes, Greece, 8–10 September, 2011.

Moustaka E., Mylopoulos N., Loukas A, 2002. “Assessment of the restored lake Karla operation under different hydrological and water demand scenarios”, Proceedings of the 6th International Conference of Protection and Restoration of the Environment; 1–5 July 2002, Skiathos — Greece: pp. 207–215.

McLoy, K. R., 1995. Resource Management information systems, Taylor and Francis, London, 244–281.

Hadjimitsis, D. G., and G., Papadavid. “Remote Sensing for Determining Evapotranspiration and Irrigation Demand for Annual Crops”, Remote Sensing of Environment: Integrated Approaches, 2013. Retrieved from http://www.intechopen.com/books/remotesensing-of-environment-integrated-approaches/remote-sensing-for-determining-evapotranspirationand-irrigation-demand-for-annual-crops

Papoutsa, C., D. G., Hadjimitsis and D. Alexakis. “Characterizing the spectral signatures and optical properties of dams in Cyprus using field spectroradiometric measurements”, Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817419 (October 07, 2011); doi:10.1117/12.898353; http://dx.doi.org/ 10.1117/12.898353

Thiemann, S., and H., Kaufmann, “Lake water quality monitoring using hyperspectral airborne data — a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany”. Remote Sensing of Environment, Vol. 81, pp. 228–237 (2002). PII: S0034-4257(01)00345-5.

Papoutsa, C., A. Kounoudes, M. Milis, L. Toulios, A. Retalis, K. Kyrou and D. Hadjimiisis, “Monitoring Turbidity in Asprokremmos Dam in Cyprus using Earth Observation and Smart Buoy Platform”, Journal of European Water Issue 38, pp. 25–32 (2012). http://www.ewra.net/ew/issue-38.htm

Hadjimitsis, D. G., and C., Clayton, “Field Spectroscopy for Assisting Water Quality Monitoring and Assessment in Water Treatment Reservoirs Using Atmospheric Corrected Satellite Remotely Sensed Imagery”. Remote Sensing, Vol. 3(2), pp. 362–377 (2011). doi:10.3390/rs3020362.

Thông tin
Thông tin xuất bản

Open Geosciences

Thông tin tác giả