Prediction of Land Cover Change in Bodetabek Area using Remote Sensing Technique

Abstract

There are many parts of the world that have been affected and changed because of humans activities. Land use/cover change (LULC) is one them. Monitoring and forecasting changes of LULC is very important which aims at development of conservation and sustainable utilization, one them is urban land use plan. In this study the main objective was to analyzed and forecasted land cover changes that will happen in the future based on historical changes which happened 11 years before. To achieve the goals, there are 11 years (2007 to 2017) of remote sensing images (MODIS MCD12QI V6) from Bodetabek area which has been classified into 16 classes based on University of Maryland classification scheme (UMD) and has been processed in several stages to be use as the dataset. There are view of method has been use to finished the experiment, change detection method has been used to computed the data to be analyzed and forecasted used least squares method.