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- W4319879451 abstract "In order to carry out targeted drought early warning for each region of Liaoning Province, Liaoning Province is divided into five research areas: Liao Dong, Liao Nan, Liao Xi, Liao Bei and Liao Zhong. The corresponding remote sensing drought monitoring index set is constructed respectively, and the drought monitoring model of each region is constructed by combining the radial basis function neural network. The results show that the average accuracy of the remote sensing drought monitoring model constructed by FY-3D / MERSI satellite remote sensing data combined with radial basis function neural network is more than 85%. The accuracy of the model in the study area of southern Liaodong is up to 93.76%, and the root mean square error is 7.69. Through the drought monitoring model, the large-scale soil moisture inversion in Liaoning Province is carried out. The results are basically consistent with the actual soil moisture situation, and achieve a better inversion level, which can be used for future regional soil moisture remote sensing inversion to provide a new reference direction." @default.
- W4319879451 created "2023-02-11" @default.
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- W4319879451 date "2023-02-10" @default.
- W4319879451 modified "2023-09-27" @default.
- W4319879451 title "Study on drought monitoring method of Liaoning Province based on FY-3D satellite" @default.
- W4319879451 cites W4246274818 @default.
- W4319879451 doi "https://doi.org/10.1117/12.2667446" @default.
- W4319879451 hasPublicationYear "2023" @default.
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