Abstract
The long drought experienced in Indonesia in the past was identified as one of the main factors in the failure of rice production. The application of rice crop insurance was introduced since 2015 to help rice farmers who suffered from farm damage. The claim was increased year by year, with the highest in 2018-2019 (12,253 ha). The main problem associated with the insurance claim is the delay of inspection of the drought-affected land. Meanwhile, various satellite data can provide relevant information more quickly for those affected areas. The purpose of this study is to examine the potential use of satellite data to detect drought to support the rice crop insurance program. Daily and monthly rainfall data derived from the Tropical Rainfall Measuring Mission (TRMM), Global Satellite Mapping of Precipitation (GSMaP) and Multifunctional Transport Satellites (MTSAT) were analyzed to identify meteorological drought. Agricultural drought is studied through the character of several indices from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Preliminary results showed that up to 89.45% of the analysis comformed with field conditions. Satellite data has its potential to be utilized in the identification of claims on agricultural insurance which requires information on land damage due to drought.
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