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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 gate was opened. Lidar data were collected from a Riegl VZ-400 terrestrial laser scanner to capture the mass failure. The laser scanner was modified, so that rather than scanning in a 360 degree motion, as it is designed, it only scanned a narrow swath (approximately 1 mm) along the full profile of the constructed sediment...
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This data release includes time-series data from a monitoring site located in a small drainage basin in the Arroyo Seco watershed in Los Angeles County, CA, USA (N3788964 E389956, UTM Zone 11, NAD83). The site was established after the 2009 Station Fire and recorded a series debris flows in the first winter after the fire. The data include three types of time-series: (1) 1-minute time series of rainfall, soil water content, channel bed pore pressure and temperature, and flow stage recorded by radar and laser distance meters (ArroyoSecoContinuous.csv); (2) 10-Hz time series of flow stage recorded by the laser distance meter during rain storms (ArroyoSecoStormLaser.csv), and (3) 2-second time series of rainfall and...
Hurricane Maria caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at a portion of northwest Naranjito, which is a municipality in the northeastern part of the main island. To study a characteristic sample of landslides in Naranjito, we mapped all visible individual landslides in an approximately triangular area 2.3 km wide by 1.9 km long. The boundary of our mapping was defined by previous studies (Bessette-Kirton et al., 2019). We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide...
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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 failed as a debris flow and moved down the flume. Lidar data were collected from a Riegl VZ-400 terrestrial laser scanner to capture the mass failure. The laser scanner was modified, so that rather than scanning in a 360 degree motion, as it is designed, it only scanned a narrow swath (approximately 1 mm) along the full...
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This is a dataset of location and photo data for the debris flow deposits measured in the Tadpole Wildfire. The data were collected using the ArcGIS Collector application by multiple individuals. The original data are stored in a geodatabase here, and the geodatabase has the following fields: Latitude (decimal degrees), Longitude (decimal degrees), Elevation (meters), GlobalID (a unique ID), CreationDate, Creator, EditDate, Editor, and Notes. Each point in the geodatabase represents an observation (either a debris flow deposit or a wood measurement), and most points also include associated photos of the deposit/wood. An opensource version of the geodatabase is provided as a shapefile, containing the same fields...
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This data release supports the analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States. We define the recurrence interval of the peak 15-, 30-, and 60-minute rainfall intensities for 316 observations of post-fire debris-flow occurrence in 18 burn areas, 5 U.S. states, and 7 climate types. These data support the analysis described in Staley et al. (2020). Debris flow occurrence data and corresponding peak rainfall intensities are from Staley et al. (2016). Recurrence interval data are from NOAA Atlas 14 Volume 1: semiarid southwestern United States (Bonnin et al., 2004), Volume 6: California (Perica et al., 2014) and Volume 8: Midwestern States (Perica...
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On May 25, 2014, a rain-on-snow induced rock avalanche occurred in the West Salt Creek Valley on the northern flank of Grand Mesa in western Colorado. The avalanche traveled 4.6 km down the confined valley, killing 3 people. The avalanche was rare for the contiguous U.S. because of its large size (54.5 Mm3) and long travel distance. To understand the avalanche failure sequence, mechanisms, and mobility, we mapped landslide structures, geology, and ponds at 1:1000-scale. We used high-resolution, Unmanned Aircraft System (UAS) imagery from July 2014 as a base for our field mapping. Here we present the map data and UAS imagery. The data accompany an interpretive paper published in the journal Geosphere. The full citation...
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Hurricane Maria brought intense rainfall and caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at two areas in San Lorenzo, which is a municipality in the east-central part of the main island. To study a characteristic sample of landslides in San Lorenzo, we mapped all visible landslides in two physiographically diverse areas, but all within the San Lorenzo Formation. We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas, and 1-m-resolution pre-event and post-event...
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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 narrow bays can be locations of especially high risk as they often have higher human populations, and the effects of water displacement from moving sediment can be amplified as compared to the effects from similarly sized mass movements in open water. In landscapes undergoing deglaciation, such as the fjords and mountain...
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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 their spatial information can be found at: https://rmgsc.cr.usgs.gov/outgoing/GeoMAC/
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Data used for analysis described in the publication titled "Shallow-Landslide Hazard Map of Seattle, Washington" (available at https://pubs.usgs.gov/of/2006/1139/). The data consisted of a digital slope map derived from recent Light Detection and Ranging (LIDAR) imagery of Seattle, recent digital geologic mapping, and shear-strength test data for the geologic units in the surrounding area. The combination of these data layers within a Geographic Information System (GIS) platform allowed the preparation of a shallow landslide hazard map for the entire city of Seattle.
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On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the flow dynamics and damage of the debris flows and to provide a data set for testing debris-flow runout models, we mapped the inundation characteristics of the five main debris-flow runout paths in Montecito. Here we present our map data on the boundaries of debris-flow inundation, flow depth, and deposit characteristics and link...
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This data release contains gridded estimates of postfire debris flow probability and magnitude for six different rainfall and wildfire scenarios in southern California. The scenarios represent the present and possible future precipitation and fire regimes for the region. The results are provided for 1 km2 cells across the study area. The data release accompanies the journal article Kean, J.W. and Staley, D.M. (2021). Forecasting the frequency and magnitude of postfire debris flow across southern California, Earth's Future, 2020EF001735.
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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 45’39.10”N, 117 35’17.48”W, WGS84). The other station (lower station) is located at the outlet of the study area (33 45’04.61”N, 117 35’12.54”W). The data were collected between November 15, 2014 and January 14, 2016. The data include continuous 1-minute time series of rainfall and soil water content recorded at the both stations and intermittent (during rain storms) 50-Hz time series of flow-induced ground vibrations recorded by geophones at the lower station. The soil water...
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This data release includes minidisk infiltration data as well as geographic data showing the location of each measurement from the Woolsey Fire, Los Angeles County, CA, USA. The Woolsey Fire burned between November 8-21, 2018. Minidisk infiltration data were obtained on November 19-21, 2018, while portions of the fire were uncontained, and prior to any rainfall. The infiltration data are in the comma separated variable (csv) files with the prefix: woolsey_minidisks followed by the site name. For example, the data obtained at site WD-1 are in the file named: woolsey_minidisks_WD-1.csv. Within each csv file there are 5 columns: Level (mL) – the level of the falling head in the minidisk, Minutes, Seconds, and Suction...
This data release contains data summarizing observations within and adjacent to the Woodbury Fire, which burned from 8 June to 15 July 2019. In particular, this monitoring data was focused on debris flows in burned and unburned areas. Rainfall data (1_Woodbury_Rainfall.zip) are contained in comma-separated value (CSV) files named “Wdby_Rainfall” appended with the names of 3 rain gages: B2, B6, and Reavis. This is time-series data where the total rainfall in millimeters is recorded at each timestamp. The location of each rain gage is listed as a latitude/longitude in each file. Pressure data from absolute (i.e. not vented) pressure transducers (2_Woodbury_Pressure.zip), which can be used to constrain the...
    map background search result map search result map Map data and Unmanned Aircraft System imagery from the May 25, 2014 West Salt Creek rock avalanche in western Colorado Data for Shallow-Landslide Hazard Map of Seattle, Washington Post-wildfire debris-flow monitoring data, Arroyo Seco, 2009 Station Fire, Los Angeles County, California, November 2009 to March 2010. Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016 Debris-flow inundation and damage data from the 9 January 2018 Montecito debris-flow event Lidar data for natural release experiment at the USGS Debris Flow Flume 17 May 2017 Lidar data for gate release experiment at the USGS Debris-Flow Flume 24 and 25 May 2017 Inventory map of submarine and subaerial-to-submarine landslides in Glacier Bay, Glacier Bay National Park and Preserve, Alaska Inventory of landslides triggered by rainfall on 16-17 January 2019, Los Angeles County, CA Data supporting an analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States Post-wildfire debris-flow monitoring data, 2019 Woodbury Fire, Superstition Mountains, Arizona, USA November 2019 to February 2020 Gridded estimates of postfire debris flow frequency and magnitude for southern California Map data from landslides triggered by Hurricane Maria in a section of Naranjito, Puerto Rico Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA Map data from landslides triggered by Hurricane Maria in select areas of San Lorenzo, Puerto Rico Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Lidar data for natural release experiment at the USGS Debris Flow Flume 17 May 2017 Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016 Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Lidar data for gate release experiment at the USGS Debris-Flow Flume 24 and 25 May 2017 Map data from landslides triggered by Hurricane Maria in a section of Naranjito, Puerto Rico Map data and Unmanned Aircraft System imagery from the May 25, 2014 West Salt Creek rock avalanche in western Colorado Post-wildfire debris-flow monitoring data, 2019 Woodbury Fire, Superstition Mountains, Arizona, USA November 2019 to February 2020 Inventory of landslides triggered by rainfall on 16-17 January 2019, Los Angeles County, CA Debris-flow inundation and damage data from the 9 January 2018 Montecito debris-flow event Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA Map data from landslides triggered by Hurricane Maria in select areas of San Lorenzo, Puerto Rico Inventory map of submarine and subaerial-to-submarine landslides in Glacier Bay, Glacier Bay National Park and Preserve, Alaska Gridded estimates of postfire debris flow frequency and magnitude for southern California Data supporting an analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States