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Classification of soil- and bedrock-dominated landslides in British Columbia using segmentation of satellite imagery and DEM data

机译:利用卫星图像分割和DEM数据对不列颠哥伦比亚省以土壤和基岩为主的滑坡进行分类

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摘要

Landsat Enhanced Thematic Mapper Plus (ETM+) and digital elevation model (DEM) data were used in a segmentation and classification procedure to classify slide scars in the northern Cascade Mountains of British Columbia, Canada. The area was stratified into features that were likely candidates for landsliding and those that were not; shape criteria were applied that were used to identify objects as slides; and finally, rules based on shape, texture and neighbouring features were used to separate soil-dominated slides from bedrock-dominated slides, an important distinction in mass movement inventories and for applied and theoretical studies. Approximately 65% classification accuracy was obtained. Slopes experiencing multiple failures, which can create less distinct features on the ground, may have contributed to some of the error in classification.
机译:Landsat增强主题地图绘制器(ETM +)和数字高程模型(DEM)数据被用于分割和分类过程中,以对加拿大不列颠哥伦比亚省北部喀斯喀特山脉的滑疤进行分类。该区域被分为可能成为滑坡候选者和不适合滑坡的特征。应用了用于将对象识别为幻灯片的形状标准;最后,基于形状,纹理和邻近特征的规则被用来将以土壤为主的滑道与以基岩为主的滑道分开,这是大规模运动清单以及应用和理论研究的重要区别。获得了大约65%的分类精度。经历多次破坏的斜坡可能会在地面上产生较少的明显特征,这可能是导致分类错误的原因。

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