TY - JOUR
T1 - The potential of using sentinel-2 satellite imagery in assessing bacterial leaf blight on rice in West Java, Indonesia
AU - Caasi, Oliver
AU - Hongo, Chiharu
AU - Wiyono, Suryo
AU - Giamerti, Yuti
AU - Saito, Daiki
AU - Homma, Koki
AU - Shishido, Masahiro
N1 - Funding Information:
This study was conducted as a part of the Science and Technology Research Partnership for Sustainable Development (SATREPS) program, titled “Development and implementation of new damage assessment process in agricultural insurance as adaptation to climate change for food security” funded by the Japan Science and Technology Agency (JST) and the Japan International Cooperation Agency (JICA).
Publisher Copyright:
© 2020, International Society for Southeast Asian Agricultural Sciences. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Disease severity
KW - Oryzae
KW - Remote sensing
KW - Xanthomonas oryzae pv
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M3 - Article
AN - SCOPUS:85090695682
SN - 0859-3132
VL - 26
SP - 1
EP - 16
JO - Journal of the International Society for Southeast Asian Agricultural Sciences
JF - Journal of the International Society for Southeast Asian Agricultural Sciences
IS - 1
ER -