Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae has affected rice production in tropical to sub-tropical countries. In Indonesia, it is one of the most important diseases of rice. This study sought to develop an inexpensive and accurate method of assessing BLB damage using remote sensing technology. The field assessments were conducted in Cianjur, West Java, Indonesia in 2017 and 2018. Visual assessments of disease severities were scored, and GPS coordinates of each sample plot were recorded. The potential of using spectral data from earth-observing Sentinel-2 satellites was explored in detecting BLB damages. Correlations between BLB severities and spectral indices proposed in related studies were evaluated, revealing that all bands of Sentinel-2A except Band 10 can potentially be useful for BLB damage detection. The visible, red-edge, near-infrared, and shortwave infrared regions may be usable for discriminating healthy rice plants from BLB damaged plants. BLB severities were strongly correlated with spectral index values, and four indices, BLB Index 1, Green Red Edge index, and Disease-Water Stress indices 1 and 2, in addition to two common vegetation indices of Normalized Difference Vegetation Index and Ratio Vegetation Index, were practically applicable for estimating the BLB severities.
|ジャーナル||Journal of the International Society for Southeast Asian Agricultural Sciences|
|出版ステータス||Published - 2020|
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