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• W2070518509 abstract "Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and thespectrum interpretation of vegetation and soil are serious factors in the judgment of drought degree. To find amore 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 VegetationIndex (NDVI) on deeper soil moisture and well expressions of Surface Water Content Index (SWCI) onsurface 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 DifferenceVegetation Index (NDVI), but also take the advantage of the Surface Water Content Index (SWCI) whicheffectively reduce the atmosphere disturbance and retrieval surface soil water content better. The index passedthe significant F-tests with α = 0. 01, and is a true real-time drought monitoring index." @default.
• W2070518509 created "2016-06-24" @default.
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• W2070518509 date "2009-08-20" @default.
• W2070518509 modified "2023-09-25" @default.
• W2070518509 title "Construction and validation of a new model for cropland soil moisture index based on MODIS data" @default.
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• W2070518509 doi "https://doi.org/10.1117/12.825039" @default.
• W2070518509 hasPublicationYear "2009" @default.
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