| Author | Wable, Milind |
| Call Number | AIT Thesis no.EV-86-7 |
| Subject(s) | Land use--Srinakarin Dam--Remote sensing
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| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Abstract | This study uses remotely sensed data to study the post implementation land use pattern in the vicinity of the Srinakarin Dam Project near Kanchanaburi in Thailand, in the context of the predictions made by the pre implementation study of the project. Landsat MSS digital data for the study area obtained on two different dates (April 17, 1983 and January 8, 1985) were analyzed using the DIMAPS ~ image processing software package and the BMDP statistical software package. A combination of visual interpretation of digitally enhanced images and computer classification using a hybrid classifier was used to produce a land use map of the study area. The raw digital data were first subjected to geometrical correction using the REGISTRATION procedure. The corrected data were then used to create digitally enhanced single-band- greyscale and false-color-composite images. Seperate enhancements were made to study land use and suspended sediment. The first three principal components for each date were used in computer classification. 9 training areas containing 625 pixels each were selected. The principal components data from these areas were fed to the BMDPKM program to generate cluster statistics, which were used to derive training statistics, which were in turn used to classify the entire study area using an algorithm closely approximating the Gaussian Maximum Likelihood classifier. Ancillary data for the study area were obtained from topographical maps and from a field visit to the study area between the 13th and the 17th of January, 1986. Results from visual interpretation and computer classification were used together with ancillary data to map the post implementation land use in the study area. The accuracy of this map was qualitatively assessed by comparison with an existing land use map, and was found to be quite satisfactory. The land use map produced in this study was found to improve upon the existing map by identifying an additional category of disturbed forests. The images generated in this study were found to be useful for identifying geographically widespread impacts of the dam project. The remotely sensed data were also demonstrated to be capable of change detection and monitoring of environmental parameters. Results indicate that the predictions made by the pre implementation study were reasonably accurate, and may therefore, be said to be based on sound EIA methodology. |
| Year | 1986 |
| Type | Thesis |
| School | School of Environment, Resources, and Development |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Environmental Engineering and Management (EV) |
| Chairperson(s) | Samorn Muttamara ;Borel, Denis; |
| Examination Committee(s) | Kozminski, Georges ;Lohani, Bindu; |
| Scholarship Donor(s) | The Royal Netherlands Government; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1986 |