Change Vector Analysis using Integrated Vegetation Indices for Land Cover Change Detection
The change detection is the process to identify the difference of area between two dates in the same location. The objective of this research is to study the land cover change from satellite image during the years 2007 and 2017 using change vector analysis (CVA). The normalized difference vegetation index (NDVI) and bare soil index (BI) were the parameters considered for land cover change analysis using the CVA. The magnitude and direction of change vectors were used to identify of land cover change. Data collection was conducted by interviewing group leader of 3 sub-districts where considerable land cover changes were observed to evaluate the land cover changes using GIS. The results of the magnitude of change vector have revealed no change 52 % and change 48 %. The results of the direction of change vector found that the moisture change more than 76 %. The land cover change from questionnaire show that Thakhonyang, and Khamriang sub-districts have changed from agriculture area to built-up area, but Makha sub-district did not show changes.