Object-oriented hierarchical identification of earthquake-induced landslides based on high-resolution remote sensing images
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摘要: 地震滑坡是不可忽视的地震次生灾害,往往造成极大的人员和财产损失,遥感识别地震滑坡是震后灾害调查和灾情评估的重要手段。文章以GF-1遥感影像为数据源,采用面向对象的分类方法对九寨沟熊猫海区域进行地震滑坡识别。基于多尺度分割和多条件阈值分类构建地震滑坡分层识别规则集,旨在充分利用地物特征,减少光谱相似地物的混分现象,提高滑坡识别精度。结果表明: 共提取熊猫海景点附近滑坡面积约2.18 km2,整体识别精度达到98.11%。该方法可快速获取识别地震滑坡,且识别精度高、识别规则具有适用性,为震后灾害应急调查和灾损快速评估提供参考和依据。Abstract: Earthquake-induced landslides are unnegligible secondary earthquake disasters and tend to cause severe casualties and property loss. Remote sensing identification of earthquake-induced landslides is an important means of the investigation and assessment of post-earthquake disasters. With GF-1 remote sensing images as a data source, this study identified the earthquake-induced landslides in the Xiongmaohai area in Jiuzhaigou using the object-oriented classification method. Specifically, the rule set for hierarchical identification of earthquake-induced landslides was constructed based on multi-scale segmentation and multi-conditional threshold classification. The aim is to fully utilize the features of ground objects, reduce the mixing of ground objects with similar spectra, and improve the identification precision of landslides. The identification results show that about 2.18 km2 of landslide area was extracted near the Xiongmaohai scenic spot, with a general identification accuracy of up to 98.11%. Therefore, the method proposed in this study can quickly identify earthquake-induced landslides, with high identification accuracy and applicable identification rules, and, thus, can be used as a reference and basis for the emergency investigation and rapid loss assessment of post-earthquake disasters.
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