Prediction of Land Cover Change in Bodetabek Area using Remote Sensing Technique
Gilbert Alessandro Matitaputty1, Marisya Desi Puspita2, Sani Muhamad Isa3
1Gilbert Alessandro Matitaputty*, Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
2Marisya Desi Puspita, Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
3Sani Muhamad Isa, Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3053-3060 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6302018520/2020©BEIESP | DOI: 10.35940/ijrte.E6302.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Land Use/Cover Change, LULC, Land Cover Changes, Forecasting and MODIS.
Scope of the Article: Regression and Prediction.