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Study on detection of Bacterial Leaf Blight disease using multi-temporal SPOT images

机译:多时相SPOT图像检测细菌性叶枯病的研究

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Many vegetation indices have been developed to extract information about vegetation condition. This study aims to detect the change of vegetation index of NDVI,GNDVI and EVI using multi-temporal images then verify the result by analyzing its relationship with the damage ratio of BLB occurrence in the field. The analysis result showed that correlation between BLB damage ratios with each indices has coefficient of determination 0.49 for NDVI change, 0.37 for GNDVI change and 0.51 for EVI change.
机译:已经开发出许多植被指数来提取有关植被状况的信息。本研究旨在利用多时相图像检测NDVI,GNDVI和EVI的植被指数变化,然后通过分析其与野外BLB发生破坏率的关系来验证结果。分析结果表明,BLB损伤率与每个指标之间的相关性,NDVI变化的确定系数为0.49,GNDVI变化的确定系数为0.37,EVI变化的确定系数为0.51。

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