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 mentioned above. The photos associated with each point are in a separate folder in this data release, and the file called photo_table.csv contains the GlobalIDs and photo names that correspond to each location in the shapefile.

This data release is a field-verified inventory of postfire debris flows for the 2021 Dixie Fire following a 23-25 October 2021 atmospheric river storm and 12 June 2022 thunderstorm. The “README.txt” file describes the fields for the “Inventory.csv” file. The “Chambers” and “Chips” rain gage data referenced in the inventory are included as: “Chambers-Oct2021-Storm.csv”, “Chambers-Jun2022-Storm.csv”, “Chips-Oct2021-Storm.csv”, and “Chips-Jun2022-Storm.csv.” The fields for the rain gage data, which includes the geographic locations of the gages, are also described in the “README.txt” file. Fields with value “-9999” indicate that data are not available or do not exist.

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 content measurements were made at 2 depths below the ground surface (5 and 10 cm) between 2014-11-15 and 2015-04-24, and 4 depths below the ground surface (5, 10, 15, and 20 cm) between 2015-04-24 and 2016-01-14. The ground vibrations were measured by two 4.5 Hz vertical axis geophones (Geospace SNG 11D/PC902/OPEN-30m) located approximately 3 m from the channel bank and separated by 11.8 m in the streamwise direction. Details of this study are described in the journal article: McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Mirus B.B., (2017), Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post-wildfire debris flow initiation, Hydrologic Processes.

The LANDFIRE Preliminary Annual Disturbance (PDist)23 product is a new product introduced with the LF 2023 Update (LF 2023). While LDist23 is a first "draft", PDist23 is akin to a second “draft” of the LANDFIRE Annual Disturbance product and includes disturbance events captured through October 31, 2023. PDist23 is releasing for these extents throughout the calendar year 2024: Conterminous United States (CONUS), Alaska (AK), Hawaii (HI), and Puerto Rico and the US Virgin Islands (PRVI). See the LF 2023 page for more information as this page will be added to as more details are available https://landfire.gov/data/lf2023. Preliminary Annual Disturbance (PDist23) was created with Landsat imagery, submitted disturbance events from the data call, and online fire program data collected on or before October 31, 2023. Unlike the Limited Annual Disturbance (LDist23) product released earlier in calendar year 2024, PDist23 includes remotely sensed severity for submitted events and unknown disturbances where change was detected.

This data release contains numerous comma-separated text files with data summarizing observations in the 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 (Wdby_Rainfall.zip) are contained in csv files called Wdby_Rainfall for 3 rain gages named: B2, B6, and Reavis. This is time-series data where the total rainfall is recorded at each timestamp. The location of each rain gage is listed as a latitude/longitude in each file. Data from absolute (i.e. not vented) pressure transducers (Wdby_Pressure.zip), which can be used to constrain the time of passage of a flood or debris flow, are available in csv files called Wdby_Pressure for four drainages (B1, B6, Reavis 1, and Reavis 2). This is time-series data where the measured pressure in kilopascals is recorded at each timestamp. The location of each pressure transducer is listed as a latitude/longitude in each file. Infiltration data are located in the csv file called WoodburyInfiltration.csv. The location of the measurement is listed as a latitude/longitude. Three measurement values are reported at each location: Saturated Hydraulic Conductivity (Ks) [mm/hr], Sorptivity (S) [mm/h^(1/2)], and pressure head (hf) [m]. The date of each measurement and soil burn severity class are also reported at each location, as well as a table explaining the burn-severity numerical class conversion. Particle size analyses using laser diffraction (WoodburyLaserDiffractionSummary.zip) are located in the files called WoodburyLaserDiffractionSummary for the fine fraction (< 2 mm) of hillslope and debris flow Deposits. The diameter of each particle size class is listed in the first column. All subsequent columns begin with the sample name. The value in each row is the percentage of the grain sizes in the size class. Location data for each of these samples is listed in the accompanying data table titled: WoodburyParticleSizeSummary.csv. The particle size data are summarized in the csv files (WoodburyParticleSizeSummary.zip) called WoodburyParticleSizeSummary by debris flow deposits and hillslope samples. These files group the raw data into more useable information. The sample name (Lab ID) is used to identify the Laser Diffraction data. The data columns (Lat) and (Lon) show the latitude and longitude of the sample locations. The total fraction of all the grain sizes, determined by sieving, are listed in three classes (Fraction < 16 mm, Fraction < 4 mm, Fraction < 2 mm). The fine fractions (< 2 mm) are also summarized in the columns (%Sand, %Silt, %Clay), as determined by laser diffraction. The data are identfied as in the burn area using entries of Yes, whereas unburned areas are shown as No, indicating no burn. The median particle size (D50) is listed if the sample collected in the field was representative of the deposit. In some cases, large cobbles and boulders had to be removed from the sample because were much too large to be included in sample bags that were brought back to the lab for analysis. The last column label (Description) contains notes about each sample. Pebble count data (WoodburyPebbleCountsSummary.zip) are available in csv files called WoodburyPebbleCountsSummary for six drainages (U10 Fan, U10 Channel, U22 Channel, B1 Channel, B7 Fan, and U42 Fan). Here U represents unburned, and B represents burned. The data name indicates whether the data come from a deposit located in a channel or a fan. In each file the particle is numbered (Num) and the B-axis measurement of the particle is reported in centimeters. The location of each pebble count is listed as a latitude/longitude in each file. Channel width measurements for 23 channels are saved in unique shapefiles within the file called Channel_Width_Transects.zip. These width measurements were made using Digital Globe imagery from 19 October 2019. The study basins used for the entire study can be found

This dataset represents percent area burned in each burn severity class for wildfires within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies for each year for 1984-2018.The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present. See: https://catalog.data.gov/dataset/monitoring-trends-in-burn-severity-burned-area-boundaries-feature-layer-27201 and https://www.mtbs.gov/product-descriptions

This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 2012 respectively, for a small basin in the Jemez Mountains, northern, New Mexico. Data were process (analyzed?) to represent forest canopy characteristics pre- and post-fire. These characteristics include, (1) canopy closure, (2) edginess to the north, (3) edginess to the south, (4) leaf area index, (5) maximum tree height, (6) mean distance to canopy, (7) mean tree height, and (8) total gap area. Output includes Snow Water Equivalent (SWE) estimates from the SnowPALM model for pre- and post-fire conditions on a daily timestep between the 1st of September 1981 to the 31st of August 2018. All data are in a gridded format where the lower left hand corner is located at 3979325 north, and 371710 east in UTM Zone 13N with a map datum of NAD83. The grid is comprised of 1000 rows by 1100 columns with a grid cell size of 1m for a total domain size of 1.0km x 1.1km.

These data were acquired in October 2015 after the Soda Fire burned approximately 280,000 acres of sagebrush steppe in the northern portion of the Reynolds Creek Experimental Watershed, Owyhee County, Idaho in August of that year. This dataset was collected for Kathleen Lohse, Idaho State University, Department of Biological Sciences, and Mark Seyfried, USDA-ARS Northwest Watershed Research Center. The requested survey area is located approximately 55 km southwest of Boise, ID. The polygon encloses approximately 150 km2.

This data release contains rainfall data from the 2020 Archie Creek, Holiday Farm, and Riverside Fire’s. These are gages identified in the parent OR_field_observations.csv release and used to calculate peak rainfall intensity-durations. The csv files here are organized by the station name and followed by the year of data collection. The locations of the stations, dates of deployment, interval, and unit of rainfall measurement are available in gage_locations.csv in the parent data release. All rainfall data are reported as a cumulative total. The Archie1, Archie2, Archie3, Holiday1, Holiday2, Holiday3, Holiday4, and Oregon Rain 4 rain gages are non-telemetered. These gages were deployed following the fires within the first few months of the 2020 water year. These rainfall data files are the raw output of the HOBO data logger file that have been converted to a csv using HOBO software version 3.7.25. These are tipping bucket gages where each bucket tip represents 0.2 mm of rainfall. The column headers for the non-telemetered gages are: #: Number of data logs recorded. Date Time, GMT-07:00: Time stamp of when data event was recorded [m/d/yyyy H:M:S]. Event, units (Sensor IDs): Bucket tip. OregonRain4 additionally includes a temperature recording column Temp, °C (LGR S/N: 10741450, SEN S/N: 10741450, LBL: temp), which describes the temperature recorded for the timestamp in degrees C. The D7564, E6414, F0379, F9895, HGNO3, LNEO3, RWXO3, TCFO3, and WPKO3 gages are telemetered, and rainfall data were downloaded from MESOWEST (https://mesowest.utah.edu/). MESOWEST only allows for rainfall data to be downloaded at a maximum of 365 days at a time, and rainfall data associated with these telemetered gages span multiple years. The multiple years of data for each gage were combined and adjusted so that our cumulative rainfall data starts at a value of 0 at the start of our downloaded data. These data are reported in inches. The column headers for these telemetered gages are: date: Time stamp of when data event was recorded [m/d/yyyy H:M]. precip: Cumulative total of rainfall in inches.

This dataset represents percent area burned in each burn severity class for wildfires within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies for each year for 1984-2018.The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present. See: https://catalog.data.gov/dataset/monitoring-trends-in-burn-severity-burned-area-boundaries-feature-layer-27201 and https://www.mtbs.gov/product-descriptions