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Spatial filtering analysis for quick drought assessment using MODIS images to detect drought affected areas

机译:使用MODIS图像进行快速干旱评估的空间滤波分析,以检测干旱影响地区

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This paper proposed to apply spatial computing methods to identify drought affected areas using satellite images. Satellite derived indices, such as Normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), standardized vegetation index (SVI) and standardized moisture index (SMI), were used to evaluate drought condition. The maps of SVI and SMI showed the areas affected by the drought. The results demonstrated the proposed method is effective and provide useful spatial information.
机译:本文建议应用空间计算方法,以使用卫星图像识别受干旱受影响的地区。卫星衍生指数,如归一化差异植被指数(NDVI),归一化差分水分指数(NDMI),标准化植被指数(SVI)和标准化水分指数(SMI),用于评估干旱状况。 SVI和SMI的地图显示了受干旱影响的区域。结果表明,所提出的方法是有效的,提供有用的空间信息。

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