Land cover change in Badung Regency 2016-2020 : An approach using machine learning method: Random Forest &amp; Extreme Gradient Boost (XGB)

Afifuddin,; Arfah, Siti; Sencaki, Dionysius Bryan; Permata, Zilda Dona Okta; Putri, Mega Novetrishka; Sanjaya, Hartanto

doi:10.1109/agers53903.2021.9617249

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The BAU scenario is a typical scenario that uses land demand according to the trend rate and has tourism as the highest hierarchy. The total area growth from this scenario was coming from the area development of existing land use 2018 data and machine learning model in 2021 [11]. As for the REG scenario, land demand was obtained from the Badung Regency Spatial Plan (RTRW), and residential ranked as the first order.…”

Section: Methodsmentioning

confidence: 99%

Land Use Modeling Scenarios using Spatial Dynamic Model in Badung Regency

Arfah,

Putri,

Afifuddin

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

Self Cite

View full text Add to dashboard Cite

Management of land use is necessary to maintain the balance between human needs and environmental aspects. Known as the highest-income region in Indonesia, Badung Regency has substantial demand for land utilization for tourism activities. The conversion of productive agricultural land to tourism areas would threaten the sustainability of natural ecosystems in Badung. This study aims to predict the future land use in Badung Regency in 2033 through two development scenarios, Bussiness As Usual (BAU) and Rapid Economic Growth (REG). The simulation was carried out using spatial dynamic models of cellular automata. Several satellite imageries, municipal data, field surveys, and influencing factors of land transition have been utilized as input for the model. The result indicates that the residential area dominated the development in the BAU scenario with the direction of residential development spreading to the south, and new tourism development portrayed in the north close to the agricultural area. While in the REG scenario, tourism land use had significant growth that does not only approach agricultural land but also protected forest areas in the north. The model accuracy showed moderate agreement according to the Kappa index both in BAU and REG scenarios. The finding of this study could support the decision maker to create a better policy considering the potential impact of land use growth direction.

show abstract

Section: Methodsmentioning

confidence: 99%