Analysis of land use and land cover changes through the lens of SDGs in Semarang, Indonesia

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Kelly-Fair_etal_RSv14_2022.pdf(8.08 MB)
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Date
2022-07
Authors
Kelly-Fair, Mira
Gopal, Sucharita
Koch, Magaly
Pancasakti Kusumaningrum, Hermin
Helmi, Muhammad
Khairunnisa, Dinda
Kaufman, Les
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Published version
OA Version
Citation
M. Kelly-Fair, S. Gopal, M. Koch, H. Pancasakti Kusumaningrum, M. Helmi, D. Khairunnisa, L. Kaufman. 2022. "Analysis of Land Use and Land Cover Changes through the Lens of SDGs in Semarang, Indonesia" Sustainability, Volume 14, Issue 13, pp.7592-7592. https://doi.org/10.3390/su14137592
Abstract
Land Use and Land Cover Changes (LULCC) are occurring rapidly around the globe, particularly in developing island nations. We use the lens of the United Nations’ Sustainable Development Goals (SDG) to determine potential policies to address LULCC due to increasing population, suburbia, and rubber plantations in Semarang, Indonesia between 2006 and 2015. Using remote sensing, overlay analysis, optimized hot spot analysis, expert validation, and Continuous Change Detection and Classification, we found that there was a spread of urban landscapes towards the southern and western portions of Semarang that had previously been occupied by forests, plantations, agriculture, and aquaculture. We also witnessed a transition in farming from agriculture to rubber plantations, a cash crop. The implications of this study show that these geospatial analyses and big data can be used to characterize the SDGs, the complex interplay of these goals, and potentially alleviate some of the conflicts between disparate SDGs. We recommend certain policies that can assist in preserving the terrestrial ecosystem of Semarang (SDG 15) while creating a sustainable city (SDG 11, SDG 9) and providing sufficient work for individuals (SDG 1) in a growing economy (SDG 8) while simultaneously maintaining a sufficient food supply (SDG 2).
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Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).