Land Suitability Analysis and Mapping for Teak Plantation Using Remote Sensing and Geographic Information System in Gangaw District of Myanmar

Name: Wint Yi Aung

ID: – 

Title: Land Suitability Analysis and Mapping for Teak Plantation Using Remote Sensing and Geographic Information System in Gangaw District of Myanmar

Type: Thesis

Abstract

Land suitability is a prerequisite for sustainable forestry production which involve topography factors, climatic factors and social factors in order to produce the suitable forest maps. UpdateLand Use Mapping and modeling of suitable forest plantation sites are importantto planning. The study area is about 785 square kilometer and is situated approximately at 22˚ 9’north and 94˚ 7’east and it is about 600 km, away from Yangon, the capital of Myanmar. This study is mainly divided into two portions,one portion is the application of remote sensing to present land use/land cover(LU/LC) mapped was considered as a major factor for determining conflict ofland use. Image classification technique undertook such as task of extracting update land use and land cover map. The present LU/LC were mapped using Landsat8 for 2013. Image classification was performed by using panchromatic band with15 m resolution combined with optimal index factor (OIF) using image fusion toselect band combination. The supervised and unsupervised classification methodscombined with AOI information for existing land use and land cover with topographic maps were used for verification. The results have showed the amountthe forest cover 375.8 square km and agricultural area has 291.6 square km. Toensure the quality of output, the confusion matrix was developed and employed.For next portion is the application of modeling of suitable teak plantation toanalyze suitable forest area. Six factors aspects concerning topography,temperature, rainfall, transportation and workforce availability wereconsidered for land suitability analysis by using Analytical HierarchicalProcess (AHP) giving weighted factors value. The results indicated that remotesensing technique was able to extract present LU/LC available while GIS wasuseful in quantitatively analyzing present LU/LC condition. Integrating ofremote sensing and GIS have done the analytical work more realistic and helpedin applying various guidelines. Future planning and project launching can befollowed using suitability maps generated form the study for sustainable long timeplan.

Keywords: Land Use and Land Cove, Supervised andUnsupervised Image Classification, Optimal Index Factor (OIF), AnalyticalHierarchical Process (AHP), Suitable Teak Plantation

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