Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia

Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intend...

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Main Authors: Ramadan, Gian Felix, Hidayati, Iswari Nur
Format: Article
Language:English
Published: Gadjah Mada University 2022
Subjects:
Online Access:https://repository.ugm.ac.id/281885/1/68702-285286-2-PB.pdf
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author Ramadan, Gian Felix
Hidayati, Iswari Nur
author_facet Ramadan, Gian Felix
Hidayati, Iswari Nur
author_sort Ramadan, Gian Felix
collection UGM
description Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intended to map LULC changes in three different years: 2008, 2013, and 2018, and predict the change in 2023. For LULC data extraction, a pixel-based digital classification with a maximum likelihood algorithm was applied to Landsat images. In addition, the LULC change prediction was modeled with Modules for Land Use Change Simulations (MOLUSCE) from the QGIS plugins. It used two algorithms: artificial neural network (ANN) with a multilayer perceptron (MLP) and cellular automata (CA). The LULC classifications for 2008, 2013, and 2018 were 88, 86, and 88 accurate, while the prediction was 75.26 accurate, with a kappa of 0.634. Predictions and simulations indicate fluctuations in LULC change in the City of Purwokerto periodically, especially for built-up land, showing growth that continues to increase significantly. © 2022 Faculty of Geography UGM and The Indonesian Geographers Association © 2022 by the authors. Licensee Indonesian Journal of Geography, Indonesia.
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spelling oai:generic.eprints.org:2818852023-11-20T06:36:44Z https://repository.ugm.ac.id/281885/ Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia Ramadan, Gian Felix Hidayati, Iswari Nur Photogrammetry and Remote Sensing Geography and Environmental Sciences Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intended to map LULC changes in three different years: 2008, 2013, and 2018, and predict the change in 2023. For LULC data extraction, a pixel-based digital classification with a maximum likelihood algorithm was applied to Landsat images. In addition, the LULC change prediction was modeled with Modules for Land Use Change Simulations (MOLUSCE) from the QGIS plugins. It used two algorithms: artificial neural network (ANN) with a multilayer perceptron (MLP) and cellular automata (CA). The LULC classifications for 2008, 2013, and 2018 were 88, 86, and 88 accurate, while the prediction was 75.26 accurate, with a kappa of 0.634. Predictions and simulations indicate fluctuations in LULC change in the City of Purwokerto periodically, especially for built-up land, showing growth that continues to increase significantly. © 2022 Faculty of Geography UGM and The Indonesian Geographers Association © 2022 by the authors. Licensee Indonesian Journal of Geography, Indonesia. Gadjah Mada University 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/281885/1/68702-285286-2-PB.pdf Ramadan, Gian Felix and Hidayati, Iswari Nur (2022) Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia. Indonesian Journal of Geography, 54 (3). 344 -351. https://journal.ugm.ac.id/ijg/article/view/68702 10.22146/IJG.68702
spellingShingle Photogrammetry and Remote Sensing
Geography and Environmental Sciences
Ramadan, Gian Felix
Hidayati, Iswari Nur
Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title_full Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title_fullStr Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title_full_unstemmed Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title_short Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia
title_sort prediction and simulation of land use and land cover changes using open source qgis a case study of purwokerto central java indonesia
topic Photogrammetry and Remote Sensing
Geography and Environmental Sciences
url https://repository.ugm.ac.id/281885/1/68702-285286-2-PB.pdf
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