"May 2004" / Bibliography: leaves 243-275. / xvi, 275, [24] leaves : ill., maps (some col.), plates (col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Looks at land use/land cover change detection, identification, analysis and prediction using remote sensing and GIS techniques in the downstream are of the Ci Tarum watershed and its surroundings in West Java, Indonesia. Supervised Maximum Likelihood classification of PCS and NDVI transformed images are used to classify and identify land use/land cover categories. A post-classification comparison approach was used to detect land use/land cover changes, and a Markov Cellular automata model is used to predict possible future land use/land cover patterns in the study area. / Thesis (Ph.D.)--University of Adelaide, School of Social Sciences, Discipline of Geographical and Environmental Studies, 2004