Patterns analysis of deforestation with socio-economic and physical factors using GIS technique in Nan Province | |
| Author | Jaruwan Nakpradab |
| Call Number | AIT Thesis no.RS-16-15 |
| Subject(s) | Geographic Information System--Thailand--Nan Deforestation--Social aspects--Thailand--Nan Deforestation--Economic aspects--Thailand--Nan |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis;no. RS-16-15 |
| Abstract | Nan province is important abundant forest of Thailand. In addition, Nan river is one of the most important headwaters of the Chao Phraya river. Recently, the rate of deforestation increasing can be affect by limitations of geography which most area cover by forest and the plain area has very less. Forest are cut down and burn for agricultural activities by farmer encroachment. Moreover, the state of economy in Nan province has slowly growth and Nan people income have below poverty expenditure line standards. One reason influence farmer to encroach forest area was insufficient arable land area and produced more income. Therefore, this study was selected as research area in this research because it has interest of limitation area and socio - economic. This study has three objectives. The first objective was analysis of forest cover changes from agriculture encroachment with physical factors using LULC change detection and spatial analysis technique. Subsequently, analysis correlation between physical factors with agricultural area using correlation coefficient. From this objective, it was found that forest area is decreasing 12.86 % and 13.18 % of agricultural area is increasing in 2013. The main agricultural crop types change is corn which account for about 97.60 % and 91.81 % in two - time period. The factors which have correlation with agricultural area included village distance, slope, and water distance which account for about 0.87 and - 0.77, and 0.73. The second objective was to investigate the different scenarios of patterns of deforestation in different physical conditions using concept of matrix inverse. Physical factors that have high influence of deforestation from agricultural encroachment including slope, village distance and water distance used to generate different scenarios of patterns of deforestation. From this objective, it was found that patterns of deforestation were distributed by corn cultivated area and cover in area as high terrace of ( 20 degree ) and far from distance of village (5 km) and water ( 300 m ). The third objective was to investigate net agricultural income from agricultural encroachment for deforestation with socio - economic factors. In this study used 12 different scenarios of patterns of deforestation to generate net agricultural income. Comparison net farmer income with poverty expenditure line standards and GPP. In addition, Comparison using arable land area in Nan province with world’s cultivated land standard. For this study, it found that net farmer income from GIS technique which has 6,931.05 and 10,742.85 bath/ farmer / year below the poverty expenditure line standards as Thailand, national and developing countries. This income had accuracy closed to GPP of Nan province. Furthermore, using arable land area in Nan province exceeds the existing limitation of flat plain land area. In this study reveal that Nan’s cultivated land per capita was 0.0180 sq.km which farmer in Thailand should have cultivated land around 0.0023 sq.km per capita. However, agricultural encroachment on deforestation in Nan province do not provide farmer to produce sufficient income |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis;no. RS-16-15 |
| 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;Nakamura, Shinichi |
| Scholarship Donor(s) | Royal Thai Government; Asian Institute of Technology Fellowship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2016 |