Abstract
Paser Regency is one of the food buffer areas for the New Capital City (IKN) of Indonesia in East Kalimantan Province. The relocation of the capital to IKN increases the number of populations and food demand as well. To meet food needs in IKN in the future, the development of agricultural land is needed. This study aimed to identify the type and direction of land use in Paser Regency to ensure food self-sufficiency. Sentinel-2 satellite Imagery with the Maximum Likelihood Classification (MLC) method was used in this study. The sentinel data from 2018 to 2022 was analyzed to identify the existing land use types over the past five years. The land use direction was determined based on the existing land use type, soil type, and land slope class. The results with an accuracy value for the overall test of 91.68% and kappa accuracy of 0.86 showed a change in land use from 2018 to 2022. Eight types of main land used were identified such as non-swamp rice fields, swamp rice fields, oil palm plantations, moors, shrubs, forests, settlements, and water bodies. The application of NDVI Sentinel-2Ac Imagery can identify a potential area of 13,249.7 hectares for rice field development and can significantly increase rice production to ensure food self-sufficiency in IKN.
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