Ms. Dewi Ernwati Profile

Dewi Ernwati

at IPB Univ

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Proceedings Article | 24 December 2019 Paper

Estimation of brown planthopper's (Nilaparvata Lugens Stal.) infested area using satellite spectral data analysis

D. Ernawati, R. Mahfiz, A. Mahfud, I. Risdiyanto, H. Triwidodo

Proceedings Volume 11372, 113720K (2019) https://doi.org/10.1117/12.2541860

KEYWORDS: Vegetation, Satellites, Agriculture, Data analysis, MODIS, Statistical analysis, Geographic information systems, Remote sensing, Reflectivity, Atmospheric sensing

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

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