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- W2365762451 abstract "Soil moisture plays an important role in arid ecological system,and soil moisture content is an important parameter in determining soil drought.We analyzed the relationship between the spectral characteristic parameters of emissivity and the soil moisture content that were measured in field and laboratory,and extracted the best sensitive band of inversed soil moisture content by the parameters from spectral characteristic analysis.it was found that the wave length were in 9.480 2~9.7901μm and the soil moisture content was the most sensitive to its emissivity.Based on the scope of the most optimal sensitive waveband,the thermal infrared wavebands of MODIS,ASTER and HJ-1BSatellites were simulated,a regression analysis was made for waveband,waveband ratio and soil moisture content,and a linear model of waveband ratio was ultimately constructed,which can effectively deduce soil moisture content.The model was verified so as to find the linear relation of soil moisture content with the emissivity of thermal infrared bands 12to 14(simulated ASTER satellite sensor).The inversion is so precise that an inversion model applicable to the relation of infrared emissivity and soil moisture content in the studied area was established." @default.
- W2365762451 created "2016-06-24" @default.
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- W2365762451 date "2014-01-01" @default.
- W2365762451 modified "2023-09-27" @default.
- W2365762451 title "A Study on Inversion of Soil Moisture Based on Measured Ground Thermal Infrared Spectrum in Arid Area" @default.
- W2365762451 hasPublicationYear "2014" @default.
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