Estimation of Brown Planthoppers (Nilaparvata Lugens Stal.) Infested Areas Based on Satellite Spectral Data Analysis

摘要

Rice is one of the main food crops, not only in Indonesia but also in Asia and worldwide. Global rice production andconsumption involve more than 250 million farmers and 3.3 billion consumers, respectively. The most common pest thatfrequently attacks rice is brown planthopper or BPH (Nilaparvata lugens Stal). The objective of this study was to estimate areainfested by BPH by using satellite spectral data analysis. The methods consisted of five stages, i.e. data preparation, fieldchecking, determination of planting dates, Vegetation Index (Ⅵ) analysis, and estimation of infested area. Data preparationincluded data downloading and projecting, image cropping and digitizing. Field checking was carried out to validate the dataand to get historical data of BPH infestation. The planting dates were determined by investigating the annual pattern of Ⅵ andrice plant development. Ⅵ analysis was using NDVI (Normalized Difference Vegetation Index) and EVI (EnhancedVegetation Index). Estimation of infested area consisted of 4 procedures i.e. data normalization, Vegetation Index Unit (VIU)calculation, infested area estimation, and comparison of NDVI-EVI value. This study indicated that satellite spectral dataanalysis could be used to estimate the area infested by BPH. It has been shown that the analysis could differentiate betweenhealthy and infested area. The VI value and the peak of infested area were lower and earlier, respectively compared to thehealthy plantation. NDVI analysis was more effective compared to NDVI analysis in estimating BPH infested area.