Soil water content inversion based on double-index combined model: Taking Hebei Province as an example
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Abstract:
In view of the nonlinear problem of temperatur evegetation drought index, the MODIS data in the Hebei Province are studied to improve the accuracy of nonlinear fitting of dry and wet edges in traditional TVDI feature space by introducing the appar ent thermal inertia model and a double-index combined soil water content inversion model. The TVDI and DICIM indices are used to inv ert the soil water content in early and mid-June, respectively . The spatial differences of soil water content inversion in low v egetation areas are compared, while the modelcs inversion ability is verified by error statistics. The result shows that in the low vegetation area, the feature of DICIM inversion is more obvious than TVDI, and the inversion value is closer to the measured value. Besides, according to error statistics, the mean absolute error of DICIM is 0.26% to 0.50% lower than that of TVDI for the inversion value of soil water content at a depth of 10 cm . The root mean square error is 0.28 % to 0.73% lower than that of TVDI, the relative root mean square error is 0.73% to 5.54 % lower than that of TVDI, and the averager elative error is 1.31% to 3.27 % lower than that of TVDI, respectively . The correlation coefficient R values based on the DICIM inversion value and the measured soil moisture content at a depth of 10 cm is approximately 0.65. It can be seen that the proposed DICIM model combines the advantages of the ATI and TVDI models and improves the inversion ability of the traditional TVDI model.
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