Modeling the changes of Sal (Shorea robusta) forest using remote sensing data and GIS :a case study of Dhaka Forest Division, Bangladesh | |
| Author | Khan, Md. Ali Haider |
| Call Number | AIT Thesis no.RS-06-17 |
| Subject(s) | Dhaka.--Forest Division Sal--Remote sensing--Bangladesh Geographic information systems--Bangladesh |
| Note | A thesis submitted in partial fulfi llment of the requirements for the degree of Master of Science |
| Publisher | Asian Institute of Technology |
| Abstract | Sal (Shorea robusta) forest of Dhaka forest division is depleting in size and stock due to immense pressure from growing population. For sustainable management of Sal forest, it is necessary to know the location and amount of degradation, rate of degradation and causes of degradation. Three Landsat images have been used for modeling the changes of Sal forest. Supervised classification technique using maximum likelihood method has been applied to classify the land cover and to detect the Sal forest change. It has been found that 109ha of Sal forest cover have been converted to other land forms annually from 1991 to 2004. Due to plantation program, around 3000ha of degraded and encroached forest land have been restored with forest cover within this period. It has been found that degradation of Sal forest decreases with the increase of distance from highways but it remains almost the same with increase of distance from railways. Forest stock degradation model by Sal forest stock and forest restoration model by plantation forest stock have been developed using NDVI. Normal NDVI image is not effective to detect Sal forest cover, so Sal forest detection index has been developed to distinguish Sal forest cover from non-Sal forest area. This index can be applied to detect Sal forest even in leafless period image. Relationships between NDVI versus number of Sal trees and NDVI versus volume of trees have been found which correlations are 0.6807 and 0.6311 respectively |
| Year | 2006 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Hondam, Kiyoshi |
| Examination Committee(s) | Chen, Xiaoyong;Michiro Kusanagi |
| Scholarship Donor(s) | Ministry of Environment & Forest, Bangladesh |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2006 |