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Geospatial probabilistic modelling for release area mapping of snow avalanches

机译：雪崩释放区域映射的地理空间概率型号

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摘要

This paper presents GIS-based mapping of snow avalanche release areas using probabilistic occurrence ratio (POR) model. The proposed method utilized the topographical and avalanche occurrence dataset. The avalanche occurrence topographical factors such as slope, aspect, curvature and elevation generated from ASTER-GDEM V2 whereas vegetation cover from Landsat 8 OLI were considered in the proposed model. An avalanche inventory map of avalanche occurrence locations was prepared for training and validation of the model. From avalanche inventory map, 80% of avalanche occurrence data for training and remaining 20% was used for validation of the model. Finally, avalanche release area map was generated using the POR model and classified into five categories based on the Jenks natural break method. The R A -index and ROC-AUC methods were used for validation of the avalanche release area map. The validation accuracy of the model is confirmed as 92.41% and 89.13% as per success and prediction rates.
机译：本文介绍了使用概率发生比（POR）模型的雪雪崩释放区域基于GIS的映射。所提出的方法利用地形和雪崩出现数据集。雪崩发生的地形因素，如斜坡，方面，曲率和从Aster-Gdem V2产生的升高，而来自拟议的模型中考虑了来自Landsat 8 Oli的植被覆盖。准备培训和验证模型的雪崩出现位置的雪崩库存地图。从雪崩库存地图，80％的雪崩出现数据用于培训和剩余20％用于验证模型。最后，使用POR模型生成雪崩释放区域地图，并根据JENKS自然断裂方法分为五类。 R a -index和Roc-Auc方法用于验证雪崩释放区域地图。根据成功和预测率，模型的验证准确性被确认为92.41％和89.13％。

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