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This data release includes 2016-2019 soil moisture timeseries for two drainage basins (“Arroyo Seco” and “Dunsmore Canyon”) that burned during the 2009 Station Fire in Los Angeles County, California, USA. The Arroyo Seco (0.01 km2) and Dunsmore Canyon (0.5 km2) drainages include two soil pits, one located near the drainage divide and another near the basin outlet. Following the naming convention established by Smith et al. (2019), we refer to the soil pits near the Arroyo Seco drainage divide and basin outlet as “AS1” and “AS3,” respectively. Similarly, we refer to the soil pits near the Dunsmore Canyon drainage divide and basin outlet as “DC1” and “DC3,” respectively. The coordinates of AS1 and AS3 are, respectively,...
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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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The data presented in this data release represent observations of postfire debris flows that have been collected from publicly available datasets. Data originate from 13 different countries: the United States, Australia, China, Italy, Greece, Portugal, Spain, the United Kingdom, Austria, Switzerland, Canada, South Korea, and Japan. The data are located in the file called “PFDF_database_sortedbyReference.txt” and a description of each column header can be found in both the file “column_headers.txt” and the metadata file (“Post-fire Debris-Flow Database (Literature Derived).xml”). The observations are derived from areas that have been burned by wildfire and are global in nature. However, this dataset is synthesized...
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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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On September 20, 2017, Hurricane Maria hit the U.S. territory of Puerto Rico as a category 4 storm. Heavy rainfall caused landslides in mountainous regions throughout the territory. This data release presents geospatial data describing the concentration of landslides generated by Hurricane Maria in Puerto Rico. We used post-hurricane satellite and aerial imagery collected between September 26, 2017 and October 8, 2017 to visually estimate the concentration of landslides over nearly the whole territory. This was done by dividing the territory into a grid with 4 square km cells (2 km x 2 km). Each 4 square km grid cell was classified as either containing no landslides, fewer than 25 landslides/ square km or more than...
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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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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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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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During the spring and early summer of 2012, approximately 1,200 square kilometers of Gila National Forest in southwestern New Mexico, including the upper portions of the Whitewater Creek watershed, were burned by the Whitewater-Baldy Complex Fire. The following September 12-17, 2013, a near-record, one-week long storm event produced widespread, historic rainfall amounts throughout the southwest U.S. in four distinct pulses. Data published here include GIS shapefiles of documented erosional features associated with the September 2013 storms and associated rainfall data. Data files are numbered 1-9. Shapefiles provided in this data release include: 1) polygon of the study area; 2) point locations of 688 debris-flow...
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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 showing concentration of landslides caused by Hurricane Maria in Puerto Rico 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 Post-wildfire debris flow and rainfall data, Whitewater-Baldy complex fire, southwestern New Mexico 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 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 Soil moisture monitoring following the 2009 Station Fire, California, USA, 2016-2019 Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Postfire Debris-Flow Database (Literature Derived) 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 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 Soil moisture monitoring following the 2009 Station Fire, California, USA, 2016-2019 Post-wildfire debris flow and rainfall data, Whitewater-Baldy complex fire, southwestern New Mexico Map data showing concentration of landslides caused by Hurricane Maria in Puerto Rico Data supporting an analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States Postfire Debris-Flow Database (Literature Derived)