Abstract

Physical development requires land, such as the agricultural, housing, industrial, mining, and transportation sectors. The increase in population will undoubtedly increase the need for food and cause changes in Land Use Land Cover (LULC) due to increased land requirements. Majalengka Regency is part of the development of the Rebana Triangle Area (Cirebon-Patimban-Kertajati), which has been planned and designated as a special economic zone (SEZ). This study analyses LULC changes in Majalengka Regency (2011-2021) using Sentinel 2A image data obtained from Google Earth Engine (GEE) for ten years. The LULC classification uses machine learning with a random forest approach combined with NDBI analysis, NDWI and raw rice field maps to produce land cover maps. The image processing results that make land use maps using the smile-Random Forest algorithm on the GEE platform combined with NDWI and NDBI analysis have accurate land cover maps with OA values of 98.81% and kappa 95.91%. The decrease in the area of agricultural land (paddy fields, fields) in Majalengka Regency has decreased by 4457.36 ha in a period of ten years (2011-2021).

Keyword

• Google Earth Engine,
• Land Use Changes,
• Special Economic Zone Rebana,
• Paddy Field