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    • Spatial and temporal prediction of ground subsidence in mining areas considering seasonal characteristics

    • “In the field of predicting ground subsidence in mining areas, experts have proposed the SFF PredRNN model, which provides effective data support for the prevention and control of subsidence disasters in mining areas.”
    • Vol. 28, Issue 11, Pages: 3016-3031(2024)   

      Published： 07 November 2024 ，

    • DOI： 10.11834/jrs.20243488     

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  • Guo X W and Chen T. 2024. Spatial and temporal prediction of ground subsidence in mining areas considering seasonal characteristics. National Remote Sensing Bulletin， 28（11）：3016-3031 DOI： 10.11834/jrs.20243488.
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Qinghao LIU 中南大学 地球科学与信息物理学院;中国测绘科学研究院
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