THAW SLUMP SUSCEPTIBILITY MAPPING BASED ON SAMPLE OPTIMIZATION AND ENSEMBLE LEARNING TECHNIQUES IN QINGHAI-TIBET RAILWAY CORRIDOR

Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor

Thaw slump susceptibility mapping (TSSM) of Qinghai–Tibet railway corridor (QTRC) is the prerequisite and basis for disaster assessment and prevention of permafrost projects.The objective Small Plate of this article is to construct ensemble learning models based on single classifier models to generate the TSSM of the QTRC, compare and verify

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