ENHANCED ABSENCE SAMPLING TECHNIQUE FOR DATA-DRIVEN LANDSLIDE SUSCEPTIBILITY MAPPING: A CASE STUDY IN SONGYANG COUNTY, CHINA

Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China

Accurate prediction of landslide susceptibility relies on effectively handling absence samples in data-driven models.This study investigates the influence of different absence sampling methods, including buffer control sampling (BCS), controlled target space exteriorization sampling (CTSES), information value (IV), and mini-batch k-medoids (MBKM),

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