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6 results for “Coseismic landslides”
The complementary distribution of coseismic and slow-moving landslides along the Longmenshan fault zone
<p><a href="../api/records/13143195/draft/files/JZG.zip/content" target="_blank" rel="noopener noreferrer">JZG.zip</a>, The inventory of coseismic landlide for Jiuzhaigou earthquake. </p> <p><a href="../api/records/13143195/draft/files/Surface%20rupture.zip/content" target="_blank" rel="noopener noreferrer">Surface rupture.zip</a> The surface rupture of Wenchuan erthquake</p> <p><a href="../api/records/13143195/draft/files/detected%20slow-moving%20landslide_6660.txt/content" target="_blank" rel="noopener noreferrer">detected slow-moving landslide_6660.txt</a> The detected slow-moving landslide using Sentinel-1 images by deployed phase gradient stacking technique.</p> <p><a href="../api/records/13143195/draft/files/Snow_polygon.zip/content" target="_blank" rel="noopener noreferrer">Snow_polygon.zip</a> The snow-covered polygon in the study area</p> <p><a href="../api/records/13143195/draft/files/ROI-1_ALOS_phase%20gradient.zip/content" target="_blank" rel="noopener noreferrer">ROI-1_ALOS_phase gradient.zip</a> the stacked phase gradient files generated from ALOS-1 images and flagged slow-moving landslide manually for ROI-1</p> <p><a href="../api/records/13143195/draft/files/ROI-1_ALOS_phase%20gradient.zip/content" target="_blank" rel="noopener noreferrer">ROI-2_ALOS_phase gradient.zip</a> the stacked phase gradient files generated from ALOS-1 images and flagged slow-moving landslide manually for ROI-2</p> <p><a href="../api/records/13143195/draft/files/Lushan_ALOS_phase%20gradient.zip/content" target="_blank" rel="noopener noreferrer">Lushan_ALOS_phase gradient.zip</a> the stacked phase gradient files generated from ALOS-1 images and flagged slow-moving landslide manually in the focused region for affected area of Lushan earthquake.</p> <p><a href="../api/records/13143195/draft/files/rivers.zip/content" target="_blank" rel="noopener noreferrer">rivers.zip</a> the rivers in the study area</p> <p><a href="../api/records/13143195/draft/files/rough1.tif/content" target="_blank" rel="noopener noreferrer">rough1.tif</a> the terrain roughness for the study area</p> <p><a href="../api/records/13143195/draft/files/rough1.tif/content" target="_blank" rel="noopener noreferrer">slope1.tif</a> the terrain slope for the study area</p> <p><a href="../api/records/13143195/draft/files/A30m_5km_topo1.tif/content" target="_blank" rel="noopener noreferrer">A30m_5km_topo1.tif</a> the terrain relief for the study area</p> <p><a href="../api/records/13143195/draft/files/grd%20S1_DT62.zip/content" target="_blank" rel="noopener noreferrer">grd S1_DT62.zip</a> part of .grd files of stacked phase gradient for descending track 62 of Sentinel-1 images which covering the plotted regions in the supplementary material</p> <p><a href="../api/records/13143195/draft/files/grd%20S1_AT128.zip/content" target="_blank" rel="noopener noreferrer">grd S1_AT128.zip</a> part of .grd files of stacked phase gradient for ascending track 128 of Sentinel-1 images which covering the plotted regions in the supplementary material</p> <p><a href="../api/records/13143195/draft/files/grd%20S1_AT55.zip/content" target="_blank" rel="noopener noreferrer">grd S1_AT55.zip</a> part of .grd files of stacked phase gradient for ascending track 55 of Sentinel-1 images which covering the northeast section of surface rupture that generated in the 2008 wenchuan earthquake.</p> <p><a href="../api/records/13143195/draft/files/grd_Jiuzhaigou_before_after%20earthquake.zip/content" target="_blank" rel="noopener noreferrer">grd_Jiuzhaigou_before_after earthquake.zip</a> the .grd files of stacked phase gradient for ascending track 128 of Sentinel-1 images which covering the affected regions before and after Jiuzhaigou earthquake.</p> <p> </p> <p> </p> <p> </p>
Evolution of coseismic and post-seismic landsliding after the 2015 Mw 7.8 Gorkha earthquake, Nepal
<p>Landslide area density grid used in the analysis of the spatial evolution of landsliding following the 2015 Mw 7.8 Gorkha earthquake in Nepal. The data include 11 epochs of landslide area density, including bi-annual assessments between 2014 and 2018 (pre- and post-monsoon), and an additional coseismic assessment from 2015. </p> <p>This research has been supported by the UKRI-DFID SHEAR program (201844-112). </p>
The coseismic landslides induced by 2023 Jishishan earthquake
<p>This dataset provides coseismic landslide points induced by the M<sub>s</sub> 6.2 2023 Jishishan earthquake, Gansu, China. </p>
Supplementary Movies for "The influence of ground shaking on the distribution and size of coseismic landslides from the Mw 7.6 2005 Kashmir earthquake"
<p>Supplementary movies of wavefield simulations for Dunham et al., 2024: <em>The influence of ground shaking on the distribution and size of coseismic landslides from the Mw 7.6 2005 Kashmir earthquake. </em></p> <p><strong>Captions:</strong></p> <p><strong>Movie S1:</strong> Movie of the vertical velocity wavefield from the low frequency source ORIG through time where red and blue are positive and negative velocity (positive = Up, negative = Down). Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S2:</strong> Movie of the absolute value of the maximum horizontal velocity wavefield from the low frequency source ORIG through time. Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S3:</strong> Movie of the vertical velocity wavefield from the high frequency source HF through time where red and blue are positive and negative velocity (positive = Up, negative = Down). Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S4:</strong> Movie of the absolute value of the maximum horizontal velocity wavefield from the high frequency source HF through time. Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p>
GDCLD:A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images
<p>GDCLD : A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images</p> <p>Fang, C., Fan, X., Wang, X., Nava, L., Zhong, H., Dong, X., Qi, J., and Catani, F.: A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-239, in review, 2024.</p> <p> </p> <p>Data description:</p> <p> </p> <p>The training dataset and the validation dataset are composed of UAV, PlanetScope, Gaofen-6 and Map World images of the 5 earthquake regions of Luding, Nippes, Hokkaido, Jiuzhaigou and Mainling. There is no overlapping area in each TIFF. The training dataset and the validation dataset are randomly divided at a ratio of approximately 0.75:0.25.</p> <p> </p> <p>train_dataset:</p> <p>train_data: The train dataset part of the GDCLD data set contains 11162 data matrices (TIFF), and the shape of the matrix is (1024, 1024, 3) (TIFF).</p> <p>train_label: The train dataset part of the GDCLD data set contains 11162 data matrices (TIFF), and the shape of the matrix is (1024, 1024, 1) (TIFF).</p> <p> </p> <p>Validation_dataset</p> <p>val_data: The validation dataset part of the GDCLD data set contains 4459 data matrices (TIFF), and the shape of the matrix is (1024, 1024, 3) (TIFF).</p> <p>val_label: The validation dataset part of the GDCLD data set contains 4459 data matrices (TIFF), and the shape of the matrix is (1024, 1024, 1) (TIFF).</p> <p> </p> <p>Test_dataset (Lushan, Sumatra, Mesetas and Palu dataset)</p> <p>This package contains the original files of remote sensing images from three sources: UAV, Map World, and PlaneScope belonging to the Lushan, Sumatra, Mesetas and Palu earthquake regiones, which are used to display the test area.<br><br>Future work:<br>The future work includes additional landslide data that the authors will continue to upload. In this 2.0 version update, we have added UAV imagery and interpreted data for loess landslides triggered by the December 2023 M6.2 earthquake in Gansu, China, with a resolution of 0.1 m. Due to authorization constraints, we can only provide PNG files without geographic coordinates. Additionally, this update includes PlanetScope imagery of landslides induced by heavy rainfall in Guangdong, China, in 2024, as well as PlanetScope imagery and landslide labels for events triggered by the Hualien earthquake in Taiwan.<br><br>Please note that this landslide dataset is publicly available exclusively for scientific research purposes and must not be used for commercial purposes.</p>
Data for "Quantifying the influence of topographic amplification on coseismic landslides: Insights from the 2015 Gorkha Earthquake"
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