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Inventory of landslides triggered by rainfall on 16-17 January 2019, Los Angeles County, CA

This dataset contains 286 landslide polygons mapped after a rainstorm on 16-17 January 2019. The majority of the landslides are located in the burn areas of the 2016 San Gabriel Complex fire, the 2014 Colby fire, and the 2009 Morris fire. A smaller number of additional landslides were located in nearby unburned areas. More information about the burn perimeters associated with this inventory and t

Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence Web Application

Interactive web application displaying the the field observations resulting from the 2020 Puerto Rico earthquake sequence

Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence

This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to have triggere

Survey monument positions for the Cleveland Corral landslide near U.S. Highway 50, El Dorado County, California

Data in this document record the ground-surface positions from 1996 to 2018 of monuments located on different kinematic elements of the Cleveland Corral landslide, or on nearby more stable ground. Data were collected about once a year in campaign mode, at times when the landslide was dormant and not moving (typically late spring or fall). Survey timing was selected to identify wet-season movement

Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence

Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more precise loc

Lidar data for natural release experiment at the USGS Debris Flow Flume 17 May 2017

Lidar data were collected on 17 May 2017 at the USGS debris-flow flume (44.215, -122.254) to monitor the movement of a constructed landslide experiment. A static prism of sediment was emplaced behind a retaining wall at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass eventually fa

Lidar data for gate release experiment at the USGS Debris-Flow Flume 24 and 25 May 2017

Lidar data was collected on 24 and 25 May 2017 at the USGS debris-flow flume to monitor two gate-release debris flow experiments. A static prism of sediment was emplaced behind a gate at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass moved down the flume as a debris flow when the ga

Inventory map of submarine and subaerial-to-submarine landslides in Glacier Bay, Glacier Bay National Park and Preserve, Alaska

Mass-wasting events that displace water, whether they initiate from underwater sources (submarine landslides) or subaerial sources (subaerial-to-submarine landslides), have the potential to cause tsunami waves that can pose a significant threat to human life and infrastructure in coastal areas (for example towns, cruise ships, bridges, oil platforms, and communication lines). Sheltered inlets and

Data from in-situ displacement monitoring, Slumgullion landslide, Hinsdale County, Colorado

We monitored displacement of the Slumgullion landslide located in Hinsdale County, Colorado. We measured displacement at the ground surface between 12 August 2011 and 10 October 2018, and in the subsurface between 4 September 2016 and 7 December 2016. Both types of data were acquired at irregular time intervals. Displacement at the ground surface was measured at locations within the upper, middle,

Debris-flow monitoring data, Chalk Cliffs, Colorado, USA, 2014

This data release includes 2014 time-series data from three debris-flow monitoring stations at Chalk Cliffs in Chaffee County, Colorado, USA. The data were collected to help identify the triggering conditions, magnitude, and mobility of debris flows at the site. The three stations are located sequentially along a channel draining the 0.3 km^2 study area. The Upper, Middle, and Lower stations have

Chalk Cliffs Channel Surveys derived from Structure-from-Motion

This data release contains two point clouds derived from structure-from-motion photogrammetry. The first survey was conducted on 10 September 2015 and the second survey was conducted on 1 June 2016. Each survey was designed to capture a 35-meter channel reach using digital photos (1187 photos were taken in the first survey and 1085 photos were taken in the second survey). Twenty-five bolts were dr

Monitoring environmental controls on debris-flow sediment supply, Chalk Cliffs, Colorado, 2011 to 2015

This data release includes time-series data of rock temperature, air temperature, wind speed, and humidity at the Chalk Cliffs debris-flow monitoring site in central Colorado (Latitude: 38.73330, Longitude: -106.18704). The data were collected to help identify the environmental controls on rates of rockfall, which is the primary source of debris-flow material at the site. Data were recorded at 1-m