Spatial-Temporal Analysis of Land Cover Change and Oil Palm Expansion  in Gunung Mas

Putri Andini; Rahayu Nurlika; Yuriduna Salma; Arditya  Wicaksono

doi:10.31292/bhumi.v9i2.784

Putri Andini Department of Geography, Faculty of Mathematics and Natural Science, University of Indonesia, West Java, Indonesia http://orcid.org/0009-0002-1038-8873
Rahayu Nurlika Department of Geography, Faculty of Mathematics and Natural Science, University of Indonesia, West Java, Indonesia http://orcid.org/0009-0003-2664-4197
Yuriduna Salma Department of Geography, Faculty of Mathematics and Natural Science, University of Indonesia, West Java, Indonesia http://orcid.org/0009-0001-7870-2139
Arditya Wicaksono Research Center for Social Welfare, Village, and Connectivity, National Research and Innovation Agency, Jakarta, Indonesia http://orcid.org/0009-0002-1038-8873

DOI: https://doi.org/10.31292/bhumi.v9i2.784

Abstract

Abstract: The area of oil palm plantations in Indonesia has increased over time. The growth of oil palm plantations even exceeds the percentage of the area of paddy fields, especially in Gunung Mas Regency. This phenomenon is accompanied by the implementation of "Regional Regulation No. 1 of 2020 concerning Land Fire Control". The regulation aims to prevent land fires due to human activities. However, local people believe that burning can increase land productivity. As a result, many people convert their land to plant oil palm, because it is considered to guarantee economic improvement compared to paddy fields. Remote sensing satellite imagery is the basis and main source in the analysis. With spatio-temporal analysis, mapping of land use changes in a certain period of time and its relationship with the distribution of agricultural wet and dry areas. As a result, the proportion of palm oil land in Gunung Mas Regency is higher than the proportion of paddy fields. If oil palm expansion continues in the future, agricultural drought could become more widespread.

Keywords: Expansion of oil palm, Land use change, Paddy Fields, Remote sensing, Spatio-Temporal Analysis

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