ANALYSIS AND MAPPING OF MANDOTI GLUTINOUS RICE GROWTH IN SALUKANAN VILLAGE, BARAKA DISTRICT, ENREKANG REGENCY USING GOOGLE EARTH ENGINE (GEE) Trisnawaty AR1,2*, Rinaldi Sjahril3, Muh. Riadi3, Nurlina Kasim3, Rafiuddin3, Aswar Anas4
1Study Program of Agricultural Science, Graduate School, Hasanuddin University, Makassar-90245, Indonesia
2Department of Agrotechnology, Faculty of Science and Technology, Universitas Muhammadiyah Sidenreng Rappang, Sidrap-91651, Indonesia.
3Department of Agrotechnology, Faculty of Agriculture, Universitas Hasanuddin, Makassar-90245, Indonesia.
4Research and Development Center for Marine, Coastal and Small Island, Hasanuddin University, Makassar-90245, Indonesia
Abstract
Mandoti glutinous rice is a local variety with high economic value that is widely cultivated in Enrekang Regency. This study aims to analyze and map the growth of Mandoti rice in Salukanan Village, Baraka District, using the Google Earth Engine (GEE) platform. The data used included Sentinel-2A imagery (time series) to monitor vegetation growth dynamics using the Normalized Difference Vegetation Index (NDVI), Land Surface Water Index (LSWI), and Enhanced Vegetation Index (EVI) indices during the rice growth phase. The analysis was conducted to identify the distribution patterns and growth rates of Mandoti rice plants at various growth phases. The results showed that the NDVI and EVI index values showed similar patterns in monitoring rice growth. The peak vegetative growth was detected in June-August with NDVI values of 0.634-0.636 and EVI of 1.906-2.438, respectively. A decline in values occurred in September-October with NDVI values of 0.473-0.519 and EVI of 1.204-1.278, indicating that the plants had entered the generative and harvest phase. Therefore, these two indices are significant in monitoring the growth of Mandoti rice. This information is expected to support decision-making in cultivation management and increase Mandoti rice productivity in Salukanan Village.
Keywords: EVI, Google Earth Engine, LSWI, Mandoti, NDVI, Sentinel-2A.
