Remote Sensing Landslide Detection in the Longnan Region and the European Alps
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Presentation at: 2019 Dragon 4 Symposium ; Ljubljana : 24.6.2019 - 28.6.2019 ; In the past, different approaches for automated landslide detection based on multispectral satellite image analysis were developed to focus on distinct landslide triggering events by analyzing bi-temporal image acquisitions. However, many regions, including the Longnan administrative region in Northwestern China, experience ongoing landslide activity requiring a continuing multi-temporal analysis. Previous works have shown promising results using automated landslide mapping approaches incorporating multi-temporal NDVI image analysis completed with topographic analysis. With this study we test different multi-temporal change indices derived from Sentinel-2 images in high spatial and temporal resolution. The identified objects are assigned likelihood classes, indicating a certainty to which they can be regarded as landslides. As a result, the detection maps can be further analyzed in relation to triggering and predisposing factors and improve the regional process understanding.
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Workshop ID.32365 SOLID EARTH & DISASTER RISK REDUCTION: Landslides Monitoring: Remote Sensing Observations for Landslide Identification and Landslide Susceptibility Assessment in the Longnan Region and the European Alps Mayrhofer P; Steger S; Sonnenschein R; Cuozzo G; Schneiderbauer S; Zebisch M; Notarnicola C; Atzberger C (2019)Presentation at: 2019 Dragon 4 Symposium ; Ljubljana ; 24.6.2019 - 28.6.2019 ; In the past, different approaches for automated landslide detection based on multispectral satellite image analysis were developed to focus ...
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