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The Application of Unified Surface Water Capacity Method in Drought Remote Sensing Monitoring

机译:统一地表水容量法在干旱遥感监测中的应用

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Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectral interpretation of vegetation and soil are serious factors in the judgment of drought degree. Based on the spectral character of water, recently, a new model of Surface Water Capacity Index (SWCI) has been put forward, and the index is more sensitive to the surface water content, and suit for regional drought monitoring. The comparative analysis showed: SWCI is more sensitive than NDVI to monitoring surface soil water content; this is available in real-time soil drought monitoring.
机译:土壤水分和植被生长是干旱监测中最重要,最直接的指标,植被和土壤的光谱解释是判断干旱程度的重要因素。基于水的光谱特征,最近提出了一种新的地表水容量指数模型,该指数对地表水含量更加敏感,适合区域干旱监测。对比分析表明:SWCI在监测地表土壤含水量方面比NDVI敏感。这可用于实时土壤干旱监测。

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