Analytical Framework of Land Use/Cover Change Detection using Satellite Image

Abstract

Land use and land cover change has become a vital component in current strategies for managing natural resources and monitoring environmental changes. Analyzing the changing of hydrological area, vegetation area and build-up area is one of the most important factor of land cover change detection. This proposed system is aimed to detect land cover changes in the Ayeyarwaddy Delta before and after Nargis Cyclone using Satellite Images in the period of 14 years lasting from 2002 to 2016. K-Means clustering algorithm and Modified Version of Normalized Difference Vegetation Index (NDVI) are utilized for land cover index classification. Temporal differencing method is used for calculation of land cover change area. Then, the system predicts and analyzes the present and future growth of land cover changes. This system aims to form valuable resources for urban planner and decision makers to devise sustainable land use and environmental planning.