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Data

Landslide Hazards - Data and Tools

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Las Lomas Hillside Lidar

This data release contains point clouds obtained from three terrestrial laser scanner (TLS) surveys of a hillslope burned by the 2016 Fish Fire in the San Gabriel Mountains, CA, USA. The TLS surveys were completed with a Leica ScanStation C10. All point data are in local coordinates and the units are in meters. The first survey was made on 19 November 2016 prior to the first post-wildfire rainstor

Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017

This data release includes time-series data from two monitoring stations in drainage basins burned in the 2009 Station Fire, Los Angeles County, California. Both stations are located near the upper boundary of their respective watershed and were installed to study the effects of vegetation recovery on hillslope hydrology and debris-flow occurrence. The data include 1-minute time series of rainfall

Data used to characterize the historical distribution of wildfire severity in the western United States in support of pre-fire assessment of debris-flow hazards

Following wildfire, mountainous areas of the western United States are susceptible to enhanced runoff and erosion and an increased vulnerability to debris flow during intense rainfall. Convective storms that can generate debris flows in recently burned areas may occur during or immediately after the wildfire, leaving insufficient time for development and implementation of risk mitigation strategie

Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017

This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Ri

Post-Fire Debris Flows

Estimates of the probability and volume of debris flows that may be produced by a storm in a recently burned area, using a model with characteristics related to basin shape, burn severity, soil properties, and rainfall.

Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016

This data release includes time-series data from two monitoring stations in a small drainage basin burned in the 2014 Silverado Fire, Orange County, California. One station (upper station) is located in the headwaters of the study area (33 4539.10N, 117 3517.48W, WGS84). The other station (lower station) is located at the outlet of the study area (33 4504.61N, 117 3512.54W). The data were collecte

Data from ring shear strength testing of glaciolacustrine silty clay from the 2014, Oso, Washington landslide

We performed ring shear strength testing of three specimens from a glaciolacustrine silty clay unit involved in a large landslide that occurred March 22, 2014 near the town of Oso, Washington. Ring shear tests utilized apparatus DPRI-5 at Kyoto University, Japan and test results are presented herein. We refer to the specimens as the clay, clayey silt, and silt. Some tests were performed under cont

Data from in-situ landslide monitoring, Trinity County, California

We performed hourly monitoring of conditions at the Two Towers landslide located in northern California near the town of Zenia. Monitored conditions included rainfall, groundwater head, horizontal total stress, horizontal effective stress, vertical soil deformation, and subsurface displacement. Data were acquired November 11, 2014-July 22, 2017, except for times during which power failure occurred

Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017

This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files, and links

Pre- and post-event digital elevation models generated from high-resolution stereo satellite imagery of the 2016 Lamplugh rock avalanche in Glacier Bay National Park and Preserve, Alaska

The use of high-resolution remotely sensed imagery can be an effective way to obtain quantitative measurements of rock-avalanche volumes and geometries in remote glaciated areas, both of which are important for an improved understanding of rock-avalanche characteristics and processes. We utilized the availability of high-resolution (~0.5 m) WorldView satellite stereo imagery to derive digital elev

Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site

This Data Release includes information used to support numerical simulations of variably-saturated flow focused on measurement-based variability in soil-water retention properties for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site in the East Bay region of California, USA (see Thomas et al., 2018). The eight datasets are: (1) geologic and instrumentation logs

Map data of landslides triggered by the 25 April 2015 Mw 7.8 Gorkha, Nepal earthquake

The 25 April 2015 Mw 7.8 Gorkha earthquake and its aftershocks triggered about 25,000 landslides over an area of more than 30,000 km2 in the Greater and Lesser Himalaya of Nepal and China. In order to understand the relation among landslide location, earthquake shaking, topography, tectonic geologic and climatic setting, earthquake-triggered landslides were mapped using high-resolution (
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