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Water is one of the vital components of the Earth environment which needs to be frequently monitored. Satellite multispectral remotesensing image has been used over decades for water body extraction. Methodology of water body extraction can be summarized tothree groups: feature extraction, supervised and unsupervised classification and data fusion. These methods, however, are of puremathematical and statistical approach and little of them explore essential characteristics of multispectral image which is based onground object radiance absorption behaviour in each sensing spectral bands. The spectral absorption characteristics of water body invisible and infrared bands differ very much from the other ground objects. They depend only on the used spectral bands and can beconsidered as invariant and sensor independent. In this paper the author proposed an application of spectral pattern analysis for waterbody extraction using spectral bands green, red, near infrared NIR and short wave infrared SWIR. The proposed algorithm has beenused for water body extraction by Spot 5 and Landsat 5 TM images. Ground truth validation was carried out in Hanoi City. Theadvantage of this algorithm does not base on water body extraction only but it allows to asses also water quality. Different level ofturbidity and organic matter contents could be classified by using additional index

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS