TY - JOUR
T1 - Satellite remote sensing of waste water reservoirs
AU - Braude, B.
AU - Ben Yosef, N.
AU - Dor, I.
PY - 1995/11/10
Y1 - 1995/11/10
N2 - SPOT multi-spectral images of nearly 100 water reservoirs were analysed. The image analysis was supported by ground measurements which included water sampling and detailed laboratory analysis of the water constituents and concentration. The analysed reservoirs covered a wide range, from open drinking water reservoirs to polluted hypertrophic ones. Classification of reservoirs by their water quality is achieved by the study of the spectral distribution of the reflected solar radiation, taking into account the atmospheric effects. The techniques included chromatic coordinates analysis and principal component analysis. An optical model of the volume reflectance of the water body was constructed, based on the radiative transfer equation which includes the scattering properties of the main water constituents. Numerical simulations, based on the model, support the experimental findings regarding the reservoir classification according to water quality and composition.
AB - SPOT multi-spectral images of nearly 100 water reservoirs were analysed. The image analysis was supported by ground measurements which included water sampling and detailed laboratory analysis of the water constituents and concentration. The analysed reservoirs covered a wide range, from open drinking water reservoirs to polluted hypertrophic ones. Classification of reservoirs by their water quality is achieved by the study of the spectral distribution of the reflected solar radiation, taking into account the atmospheric effects. The techniques included chromatic coordinates analysis and principal component analysis. An optical model of the volume reflectance of the water body was constructed, based on the radiative transfer equation which includes the scattering properties of the main water constituents. Numerical simulations, based on the model, support the experimental findings regarding the reservoir classification according to water quality and composition.
UR - http://www.scopus.com/inward/record.url?scp=0029474480&partnerID=8YFLogxK
U2 - 10.1080/01431169508954610
DO - 10.1080/01431169508954610
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AN - SCOPUS:0029474480
SN - 0143-1161
VL - 16
SP - 3087
EP - 3114
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 16
ER -