Coastal Landuse Change Detection Using Remote Sensing Technique: Case Study in Banten Bay, West Java Island, Indonesia

Abstract

Various forms of coastal landuse covering study site (46,785.69 hectares) were observed to underwent changes as evidently detected between satellite images sensed in 1994 and 2001 at the Banten Bay. It was important to identify what these changes were. Therefore, appropriate change detection must be selected. The image preprocessing step involved removing errors from raster data. This was done by performing basic processes, such as, radiometric correction, geometric correction and image calibration. The image processing step comprised of supervised classification and change detection techniques. Red green method gave the best result for detecting coastal landuse change because the numbers of changed area closely resembled the total number of changed area reference. Every coastal landuse category increased in utility area except for natural area. Observed reduction in the area size of natural area was due to growth rate of population and increased activities along this area.