Population distribution analysis for water supply planning, using textural image classification of SPOT data in an integrated Geographical Information Systems (GIS)

Protecting Natural Resources, such as drinking water in terms of quality and quantity, is one of the missions of South Florida Water Management District (SFWMD). Water Supply Planning is one of the many projects at the Planning Department of the SFWMD, in which sixteen counties are analyzed to determine the most accurate population distribution for water supply distribution among the water utility companies. This thesis examines the current methodology which is used at the SFWMD, and addresses its shortcomings. It then introduces a proposed methodology, to improve population distribution analysis, by incorporating satellite imagery. Textural classification of satellite imagery will be used to extract residential neighborhoods from non-residential areas. The resultant residential areas, which is in the form of raster data, then will be converted to a vector coverage to be utilized as an additional source of data. Incorporating satellite imagery eliminates the assumption of homogenous population distribution, which the current methodology is based on and consequently, leads to a more accurate population distribution methodology.