Predicting soil salinity during soil resalinization based on Sentinel-2 imagery and machine learning approaches and relevant recommendations for land management: A case study of the west-central Hetao Irrigation District, China

Yu-chun-zi Du; Su-ri-ga-la Tai; Ze-nan Jia; Meng-meng Cao; Rui-qiang Yuan; Yong-chun Li

doi:10.31035/cg2025055

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Du Yu-chun-zi, Tai Su-ri-ga-la, Jia Ze-nan, Cao Meng-meng, Yuan Rui-qiang, Li Yong-chun. 2025. Predicting soil salinity during soil resalinization based on Sentinel-2 imagery and machine learning approaches and relevant recommendations for land management: A case study of the west-central Hetao Irrigation District, China. China Geology. doi: 10.31035/cg2025055.

Citation: Du Yu-chun-zi, Tai Su-ri-ga-la, Jia Ze-nan, Cao Meng-meng, Yuan Rui-qiang, Li Yong-chun. 2025. Predicting soil salinity during soil resalinization based on Sentinel-2 imagery and machine learning approaches and relevant recommendations for land management: A case study of the west-central Hetao Irrigation District, China. China Geology. doi: 10.31035/cg2025055.

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Predicting soil salinity during soil resalinization based on Sentinel-2 imagery and machine learning approaches and relevant recommendations for land management: A case study of the west-central Hetao Irrigation District, China

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Predicting soil salinity during soil resalinization based on Sentinel-2 imagery and machine learning approaches and relevant recommendations for land management: A case study of the west-central Hetao Irrigation District, China

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