Search Filter
- Publications
- Abstract of Theses and Dissertations
- Database
- Coastal Land Use Change Detection Using Remote Sensing Technique: Case...
Coastal Land Use Change Detection Using Remote Sensing Technique: Case Study in Banten Bay, West Java Island, Indonesia
Thesis Abstract:
Various forms of coastal land use covering the study area were observed to have undergone changes as evidently detected between the satellite images sensed in 1994 and 2001 at Banten Bay. It is important to identify these changes; therefore, appropriate change detection must be selected. This study has three main objectives: (1) to determine the image pre-processing and image processing techniques needed for digital coastal land use change detection, (2) to perform digital coastal land use supervised classification, and (3) to study the coastal land use change of Banten Bay in two dates.
The image pre-processing stage involved removing errors from the 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. Supervised classification was employed in this study to transform multispectral image data into user-defined thematic information classes and to serve as a reference for the quantitative results of the change detection techniques. On the other hand, change detection techniques tested on this study to show the best results included Red Green Method, Image Differencing Method, Image Ratioing Method, and Principal Component Analysis (PCA).
Red Green Method gave the best result for detecting the coastal land use change because the number of changed area closely resembled the total number of changed area reference. Through careful comparison, it was observed that Red Green Method was suitable for detecting area changes in paddy fields increase and settlement area increase. Image Differencing Method was better in detecting area changes in agricultural land increase, and fishponds and natural area decrease. Image Ratioing Method gave the best result for monitoring area change in fishponds increase, paddy fields decrease and agricultural land decrease because the number of each changed area (per hectare) nearly coincides more with the size of changed area (per hectare) of increase and decrease reference.
Every coastal land use category increased in utility area except for the natural area. The observed reduction in the area size of the natural area was due to the growth rate of the population and increased activities along this area. Based from field checking, some parts of agricultural land and paddy fields became fishponds in LONTAR zone.