Detection of paddy rice drought stress with sentinel image vegetation index and the relation with productivity in Allatengae Village, Bantimurung District, Maros Regency

Abstract

Abstract Maros Regency is one of the rice storage areas in South Sulawesi. According to the Central Bureau of Statistics for Maros Regency in 2020, the harvested area of rice decreased by 10.11% or 4,849.55 Ha compared to 2018 and rice production decreased by 16.96% or 37,719.68 tons. This causes the productivity of rice also decreased. One of the factors causing the decline in rice production in Maros Regency is drought. Sentinel 2 imagery is one of the remote sensing data that can be used to detect rice drought using the drought index method. This study aims to detect dryness of paddy rice in Allatengae Village using Sentinel-2A satellite imagery based on NDDI index analysis and determine the relationship between drought index and rice productivity. The method used is the Normalized Difference Drought Index (NDDI) method to determine the dryness level of paddy fields based on NDVI and NDWI parameters and uses regression and correlation analysis methods. From the results of this study, dry rice in Allatengae Village was detected in September and October 2021. In September (42 HST), the average NDDI value was 0.0254 and was in a mild drought condition while in October (62 HST), the average NDDI value is 0.2425 and is in moderate class drought conditions. From the results of the analysis of the relationship between the drought index and rice productivity, there is a strong (negative) correlation, where the higher the NDDI index value, the lower the rice productivity value.

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