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A Real-time Drought Monitoring Method : Cropland Soil Moisture Index (CSMI) and Application

机译:实时干旱监测方法:农田土壤水分指数(CSMI)及其应用

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Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectrum interpretation of vegetation and soil are serious factors in the judgment of drought degree. To find a more real-time monitoring index of cropland soil moisture by remote sensing, a Cropland Soil Moisture Index (CSMI) was established in this paper based on the effective reflections of Normalized Difference Vegetation Index (NDVI) on deeper soil moisture and well expressions of Surface Water Content Index (SWCI) on surface soil moisture. By validation with different time-series MODIS data, the Cropland Soil Moisture Index (CSMI) not only overcome the limitation of hysteretic nature and saturated quickly of Normalized Difference Vegetation Index (NDVI), but also take the advantage of the Surface Water Content Index (SWCI) which effectively reduce the atmosphere disturbance and retrieval surface soil water content better. The index passed the significant F-tests with a = 0. 01, and is a true real-time drought monitoring index.
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。为了通过遥感找到更实时的农田土壤水分监测指标,基于归一化植被指数(NDVI)对更深层土壤水分和水井表达的有效反映,建立了农田土壤水分指数(CSMI)。水分指数(SWCI)对表层土壤水分的影响。通过使用不同时间序列的MODIS数据进行验证,农田土壤水分指数(CSMI)不仅克服了归一化植被指数(NDVI)的滞后性和快速饱和的局限性,而且还利用了地表水分指数( SWCI)有效地减少了大气干扰并更好地恢复了地表土壤水分。该指数通过了显着的F检验,其a = 0. 01,是真实的实时干旱监测指数。

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