Open AccessPrediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM)
Author(s) -
Herlawati Herlawati,
Fata Nidaul Khasanah,
Prima Dina Atika,
Rafika Sari,
Rahmadya Trias Handayanto
Publication year - 2021
Publication title -
jurnal komtika (komputasi dan informatika)
Language(s) - English
Resource type - Journals
eISSN - 2580-734X
pISSN - 2580-2852
DOI - 10.31603/komtika.v5i1.5139
Subject(s) - geospatial analysis , geoinformatics , java , land cover , land use , geography , vegetation (pathology) , geographic information system , remote sensing , forestry , cartography , environmental resource management , environmental science , computer science , civil engineering , engineering , medicine , pathology , programming language
Land use/cover greatly affect the quality of an area. Therefore, many regional planners need assistance byother fields, such as geoinformatics, computer science, environment, and others. Although prediction and forecasting have been widely studied, in regardto real conditions (geospatial)itstill needmoredevelopment, especially thoseinvolving a combination of regional types, such as urban and suburban areas. This study uses a remote sensing base and geographic information system in predicting land in the city and district of Bekasi, West Java, Indonesia. With two scenarios compared (business as usual and vegetation conservation), the model that has been created and validated (with an AUC accuracy result of 0.828) is used to predict land use change until 2030. Scenarios with vegetation conservation are able to keep green areas to switch to land types others, such as buildings and industry