Reducing hillslope size in digital elevation models at various scales and the effects on model estimation | |
| Author | Chatchai Tantasirin |
| Call Number | AIT Diss. no.RS-17-04 |
| Subject(s) | Landslides Modeling |
| Note | A dissertation submitted in partial fulfillment of the requirem ents for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. RS-17-04 |
| Abstract | Several models simulate watershed areas by delineating into hil lslopes. The effects of hillslope size on the accuracy of model results have been discu ssed. Hillslope size depends on the length of stream tributaries, which are affected by the drainage area threshold (DAT). There is no universal approach t o identify the appropriate DAT. Therefore, this study proposes a method to derive an objective DAT and presents a ser ies of steps to delineate a watershed into smaller sizes, and investigates the impact of sm aller hillslope size on potential soil erosion estimation. The DAT obtained in this study is smal ler than that obtained using other methods, resulting in higher drainage density of drainage tributaries. Dividing these tributaries into equal short segments and using them to delinea te the study areas reduced the size of the hillslope. The results revealed that the shorter th e length of the tributaries, the smaller the delineated size. The accuracy of potential soil ero sion rate estimation increased when the size of the hillslope is reduced. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. RS-17-04 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nagai, Masahiko |
| Examination Committee(s) | Tripathi, Nitin Kumar ;Shresthai, Sangam ;Miyazaki, Hiroyuki |
| Scholarship Donor(s) | Royal Thai Government and fellowship |
| Degree | Thesis (Ph. D.) - Asian Institute of Technology, 2017 |