Regional Landslide Identification Based on Susceptibility Analysis and Change Detection

滑坡识别是遥感和自然灾害研究中越来越重要的研究课题。它对于危害预防，缓解和脆弱性评估至关重要。尽管在过去几年中付出了巨大努力，但其准确性和效率可以进一步提高。因此，本研究结合了两种最常用的方法：敏感性分析和变化检测阈值，得出采用新型识别标准的滑坡识别方法。通过对所提方法和掩蔽变化检测阈值方法的定量评估，该方法 在一定程度上表现出提高的准确性。 Our susceptibility-based change detection thresholding method has the following benefits: (1) it is a semi-automatic landslide identification method that effectively integrates a pixel-based approach with an object-oriented image analysis approach to achieve more precise landslide identification; (2) integration of the change detection result with the susceptibility analysis result represents a novel approach in the landslide identification research field.