Trends analysis of river bank erosion at Amu river using remote sensing and geographic information system | |
| Author | Mahmoodzada, Abdul Basir |
| Call Number | AIT Thesis no.RS-15-01 |
| Subject(s) | Erosion--Geographic information systems Erosion--Remote sensing Erosion Amu River (Afghanistan) |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-15-01 |
| Abstract | The study examined the trend of riverbank erosion from 2000-2014, detected shoreline change and predicted the river migration from 2014-2030 in Qarq in district. The study is the first of its kind as no previous study has been done before .In this research, land sat image sand very high resolution(IKONOS, Quick bird and Pleiades) images were used.. The image classification was done from 2000-2014. Remote Sensing and Geographic Information system applications were used to categorize eroded area and identify shorelines change locations. Furthermore, liner extrapolation technique was employed top redictriver movement from 2014 to 2030at five year intervals. The study found that the river movement was toward Afghanistan side i.e., south. The land lost from 2000-2014 was estimatedat5074 hectares in total. It was calculated as 1984 hectares from 2005-2010 –a major increase noticed from other periods which were 1410hectaresfrom 2000-2015 and 1680 hectares from 2010-2014. The shoreline was demarcated and categorized into three zones i.e., lower as moderate eroded zone, central as high eroded zone and upper as lower eroded zone. The predicted land lose from 2014-2030was calculated 6160 hectares due to river migration toward Afghanistan side primarily because of lack of proper management. The study will be useful to government agencies responsible for river bank erosion management in taking decisions. Based on trend analysis and shoreline migration, the study has concluded that eroded area by river and those were calculated from the historical data, for the better understand shoreline changes and projected future river locations. |
| Year | 2015 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-15-01 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Sarawut Ninsawat |
| Examination Committee(s) | Tripathi, Nitin Kumar;Honda, Kiyoshi;Nakamura, Shinichi |
| Scholarship Donor(s) | AIT-Ministry of Higher Education (MoHE), Afghanistan Partnership Project |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2015 |