1 |
Bilgehan, N., E. Semih, K. Hakan, B. Ali, and M. David, 2010. An Application of Landsat-5TM Image Data for Water Quality Mapping in Lake Beysehir, Turkey, Water Air Soil Pollut, 212: 183-197.
DOI
|
2 |
Bilge, F., B. Yazici, T. Dogeroglu, and C. Ayday, 2003. Statistical evaluation of remotely sensed data for water quality monitoring, International Journal of Remote Sensing, 24: 5317-5326.
DOI
|
3 |
Cohen, W.B., T.K. Maiersperger, S.T. Gower, and D.P. Turner, 2003. An Improved strategy for regression of biophysical variables and Landsat ETM+ data, Remote Sensing of Environment, 84: 561-571.
DOI
ScienceOn
|
4 |
Dekker, A.G., R.J. Vos, and S.W.M. Peters, 2002. Analytical algorithms for lake water TSM estimation for retrospective analysis of TM and SPOT sensor data, International Journal of Remote Sensing, 23: 15-35.
DOI
|
5 |
Dekker, A.G., T.J. Malthus, and E. Seyhan, 1991. Quantitative modeling of inland water quality for high-resolution mss systems, IEEE Transactions on Geoscience and Remote Sensing, 29: 89-95.
DOI
|
6 |
Giardino, C., V.E. Brando, A.G. Dekker, N. Strombeck, and G. Candiani, 2007. Assessment of water quality in Lake Garda (Italy) usingHyperion, Remote Sensing of Environment, 109: 183-195.
DOI
|
7 |
Gin, K.Y., S.T. Koh, and E.S. Chan, 2002. Application of spectral signatures and colour ratios to estimate chlorophyll in Singapore's coastal waters. Estuarine, Coastal and Shelf Science, 55: 719-728.
DOI
|
8 |
Han, L., 1997. Spectral reflectance with varying suspended sediment concentrations in clear and algal-laden waters, Photogrammetric Engineering and Remote Sensing, 63: 701-705.
|
9 |
Han, L. and D.C. Rundquist, 1997. Comparison of NIR/Red ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: a case study in a turbid reservoir, Remote Sensing of Environment, 62: 253-261.
DOI
|
10 |
Han, L., D.C. Rundquist, L.L. Liu, and L.N. Fraser, 1994. The spectral responses of algal chlorophyll in water with varying levels of suspended sediment, International Journal of Remote Sensing, 15: 3707-3718.
DOI
|
11 |
Harma, P., J. Vepsalainen, T. Hannonen, T. Pyhalahti, J. Kamari, and K. Kallio, 2001. Detection of water quality using simulated satellite data and semiempirical algorithms in Finland, Science of The Total Environment, 268: 107-121.
DOI
|
12 |
Jensen, J.R., 2005. Introductory Digital Image Processing, A Remote Sensing Perspective (Upper Saddle River, New Jersey: Prentice Hall).
|
13 |
Svendsen, H., A. Beszczynska-Moller, J.O. Hagen, B. Lefauconnier, V. Tverberg, S. Gerland, J.B. Orbaek, K. Bischof, C. Papucci, M. Zajaczkowski, R. Azzolini, O. Bruland, C. Wiencke, J.G. Winther, and W. Dallmann, 2002. The physical environment of Kongsfjorden-Krossfjorden, an Arctic fjord system in Svalbard, Polar Research, 21(1): 133-166.
DOI
ScienceOn
|
14 |
Wang, F., H. Luoheng, K. Hsiang-Te, and B.V.A. Roy, 2006. Applications of Landsat-5 TM imagery in assessing and mapping water quality in Reelfoot Lake, Tennessee, International Journal of Remote Sensing, 27(23): 5269-5283.
DOI
|
15 |
Yang, X., 2005. Remote sensing and GIS for estuarine ecosystem analysis: an overview, International Journal of Remote Sensing, 26: 5347-5356.
DOI
|