Analysis of Land Cover Change Across Land-Use Types in the Palolo Valley
DOI:
https://doi.org/10.55173/agriscience.v10i1.215Keywords:
land cover change; remote sensing; Sentinel-2; Geographic Information System (GIS); supervised classification; Palolo Valley.Abstract
The progress of a region has several components, namely growth centers and the formation of a region. These components influence changes in the structure and diversity of a region or area, one of which is changes in land cover. Land cover itself is an object appearance on the earth's surface that shows that land cover reflects the relationship between natural processes and social processes. Land cover is also important information for the purposes of modeling and understanding natural phenomena that occur on the earth's surface through remote sensing techniques. Palolo Valley, Sigi Regency, experiences quite high land use pressure, so information on land cover changes is needed as a basis for sustainable regional management. The purpose of this study is to determine the extent and distribution of land cover changes in several types of land use and to determine what factors influence land cover changes in several types of land use in the Palolo Valley in 2016 to 2026. The study uses an integration method between making land cover maps in the Palolo Valley by utilizing Sentinel-2 images in 2016 and 2026 which are processed using Geographic Information Systems (GIS) using the ArcGIS 8.0 application. Data analysis in this study is by conducting a supervised classification method then taking the last sample point to test the accuracy of the land cover map using an error matrix. The results of this study indicate that the most significant changes in land cover in the 2016 to 2026 period in the Palolo Valley occurred in the plantation land cover category with a percentage of land cover change of 10.0%. Furthermore, shrub land cover experienced a change in area with a percentage change of 6.04%, the third land cover that experienced a change was rice fields with a percentage change of 3.52%, and finally forest land cover experienced a change of 0.44%, there were two land cover classes that did not experience a change in land cover, namely open land and settlements. Factors that influence land cover changes towards various types of land use in the Palolo Valley include biophysical factors and natural disasters, socio-demographic factors namely population growth and migration, accessibility and infrastructure factors in the form of road construction and residential construction, and the last factor is the economy and superior commodities, namely the expansion of cocoa and coffee plantations. The results of the accuracy test showed an overall accuracy of 90.3% in 2016 and 86.1% in 2026, so the classification results are considered reliable for land cover change analysis. The findings of this study can be a basis for formulating sustainable land management and conservation policies in the Palolo Valley.
References
Acciaioli, G. (2021). Conservation and Community in Lore Lindu National Park: Customary Land Tenure and Safeguarding, Multi-Ethnic Participation, and Resource Rights. LOBO: Annals of Sulawesi Research, 5(1).
BNPB. (2019). Central Sulawesi Earthquake and Liquefaction Disaster Management Report 2018. National Disaster Management Agency of the Republic of Indonesia.
Budi, S., et al. (2019). Profile, Level of Vulnerability and Spatial Pattern of Deforestation in Sulawesi Period from 1990 to 2018. Forests, 10(2), 191. https://doi.org/10.3390/f10020191
Dale, V., Archer, S., Chang, M., & Ojima, D. (2005). Ecological impacts and mitigation strategies for rural land management. Ecological Applications, 15(6), 1879-1892.
Dechert, G., Veldkamp, E., & Anas, I. (2004). Is soil degradation unrelated to deforestation? Examining soil parameters of land use systems in upland Central Sulawesi, Indonesia. Plant and Soil, 265, 197–209. https://doi.org/10.1007/s11104-005-0885-8
Deteix, L., Salou, T., Drogué, S., & Loiseau, E. (2023). The importance of land in resource criticality assessment methods: A first step towards characterizing supply risk. Science of the Total Environment, 880, 163248.
Gabriele, M., Brumana, R., Previtali, M., & Cazzani, A. (2023). A combined GIS and remote sensing approach for monitoring climate change-related land degradation to support landscape preservation and planning tools: The Basilicata case study. Applied Geomatics, 15(3), 497-532.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., … & Townshend, J. R. G. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693
Lestariningsih, I. D., Widianto, W., Agustina, C., Sudarto, S., & Kurniawan, S. (2018). Relationship between land degradation, biophysical and social factors in Lekso Watershed, East Java, Indonesia. Journal of Degraded and Mining Lands Management, 5(3), 1283.
Li, H., Yang, X., & Zhang, K. (2021). Understanding global land degradation processes interacted with complex biophysics and economics from the perspective of the Normalized Difference Vegetation Index (1982–2015). Global and Planetary Change, 198, 103431.
Notohadiprawiro, T. (1998). Soil and Environment. Directorate General of Higher Education, Ministry of Education and Culture. Jakarta, 237.
Opa E.T. 2010. Analysis of Changes in Mangrove Land Area in Pohuwato Regency, Gorontalo Province Using Landsat Imagery. Journal of Fisheries and Marine Affairs. 6(2): 79-82.
Purwadhi F, 2001. Interpretation of Digital Images. Jakarta (ID) : Gramedia Widiarsana.
Taufik, M., Torfs, P. J. J. F., Uijlenhoet, R., Jones, P. D., Murdiyarso, D., & Van Lanen, H. A. J. (2017). Amplification of wildfire areas burned by hydrological drought in the humid tropics. Nature Climate Change, 7(6), 428–431. https://doi.org/10.1038/nclimate3280
Thenkabail PS, Biradar CM, Noojipady P, Dheeravath V, Li YJ, Velpuri M, Gumma M, Gangalakunta ORP, Turral H, Cai XL, Vithanage J, Schull MA, Dutta R. 2009. Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium. International Journal of Remote Sensing. 30: 3679-3733.
Widianto, E., et al. (2023). Implementation of Soil and Water Conservation in Indonesia and Its Impacts on Biodiversity, Hydrology, Soil Erosion and Microclimate. Applied Sciences, 13(13), 7648. https://doi.org/10
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Agricultural Science

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.










