This lidar dataset was collected by NCALM for Sally Thompson at the University of California, Berkeley. This study aims to assess the occurrence and characteristics of post-fire erosion gullies caused by the Empire Fire in Illilouette Creek Basin, California. The study area covers approximately 74 km2 in Yosemite National Park, California.

This lidar dataset was collected as part of an NCALM Seed grant for James Guilinger at the University of California, Riverside. This study investigated source attribution of eroded sediments from post-fire runoff events using nested scales of sequential change detection. The study area covers approximately 61 km 2 near Leach Canyon in the Santa Ana Mountains of California.

This data repository documents the input files, output files, and RStudio scripts used to quantify changes in water-quality concentrations after the 2020 Cameron Peak Fire in the North Fork Big Thompson River and Buckhorn Creek watersheds using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. A WRTDS model was developed using 12 years of pre-fire data (2008-August 13, 2020) and used to make predictions of what water-quality concentrations could have been on post-fire (August 13, 2020-2023) sample days had there not been a fire. This method may be a useful tool for post-fire water-quality assessments in the western United States.

This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. Praveen Kumar, University of Illinois. Clear Creek is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two rectangles - called East and West - enclosing approximately 204 square kilometers along with their associated watercourse corridors. The West rectangle is located 35 km NW of Iowa City, Iowa and the East rectangle is located 10 km NW of the same city. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (available here) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (this dataset) which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA- 31-350 Navajo Chieftain (Tail Number N154WW). Full waveform files are available via this link.

This product is a dataset of volumetric soil-water content and soil temperature in an area affected by wildfire in the Boulder Creek watershed, in the Colorado Front Range, USA. The data contained in this archive continue through 7 years of recovery following a wildfire in 2010. Automated sensors (Decagon Devices, 5TE and 5TM) were used to collect the data at 1-minute and 5-minute temporal resolution at several depths in the soil profile. This portion of the data release contains data collected at the difference infiltrometer 1 (DI1) site

This data release contains data collected during August 2020 for the post Carr fire Bioassessment project at Whiskeytown National Recreation Area, Shasta County, California. Data includes sediment and habitat characteristics, water chemistry, and biological conditions of tributaries to Whiskeytown Lake and Clear Creek below the dam. Samples were also collected to assess concentrations of metals in sediment, water, and invertebrate and fish tissues.

This data release contains data summarizing observations within and adjacent to the Tadpole Fire, which burned from 6 June to 4 July 2020. In particular, this monitoring data were focused on debris flows triggered on 8 September 2020 in four drainage basins (TAD1, TAD2, TAD3, and TAD4). Rainfall data (1a_rain_geophones.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Index, GaugeID (name of rain gauge), StormID (the storm number starting at the first record, where a new storm is defined by 8 hours with no rainfall), TimeStamp (local time), Bin Accum (mm) (The total accumulated rainfall between timesteps in units of millimeters), TotalAccum (mm) (the cumulative rainfall starting from the beginning of the record), 5-minute Intensity (mm/h) (the 5-minute rainfall intensity), 10-minute Intensity (mm/h) (the 10-minute rainfall intensity), 15-minute Intensity (mm/h) (the 15-minute rainfall intensity), 30-minute Intensity (mm/h) (the 30-minute rainfall intensity), and 60-minute Intensity (mm/h) (the 60-minute rainfall intensity). The location of the rain gage is: 32.955, -108.232. Rainfall data (1b_rain_only.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Index, GaugeID (name of rain gauge), StormID (the storm number starting at the first record, where a new storm is defined by 8 hours with no rainfall), TimeStamp (local time), Bin Accum (mm) (The total accumulated rainfall between timesteps in units of millimeters), TotalAccum (mm) (the cumulative rainfall starting from the beginning of the record), 5-minute Intensity (mm/h) (the 5-minute rainfall intensity), 10-minute Intensity (mm/h) (the 10-minute rainfall intensity), 15-minute Intensity (mm/h) (the 15-minute rainfall intensity), 30-minute Intensity (mm/h) (the 30-minute rainfall intensity), and 60-minute Intensity (mm/h) (the 60-minute rainfall intensity).The location of each rain gage station is: 32.956, -108.241. Geophone data (2_geophone.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: TimeStamp (local time), GeophoneUp_mV (the upstream geophone data in millivolts), GeophoneDn_mV (the downstream geophone data in millivolts). The geophones are co-located with a rain gage at: 32.955, -108.232. Field measurement data (3_combined_data.csv) are provided in a comma-separated value (CSV) file. This dataset describes pieces of wood found within different debris flow deposits in four drainages TAD1-TAD4, and there were multiple debris flow deposits in each drainage. The columns in the csv file are: ID (a unique identifier for each wood piece). For example, if there is one piece of wood at a location in the channel TAD1, the wood piece was mapped as TAD1-1. However, in the case of a single debris flow deposit with multiple pieces of wood, a letter is appended for each additional wood piece, such as TAD1-1a, TAD1-1b, TAD1-1c, etc.), ID_base (a unique identifier for each deposit, which may contain multiple wood pieces), Latitude (the Latitude expressed in Decimal Degrees), Longitude the Longitude expressed in Decimal Degrees), Elevation (the elevation expressed in meters), Length (m) (the length of a wood piece in meters), Diameter (cm) (the diameter of the approximate middle of a wood piece in centimeters), Class (a description of the wood piece), Charred (%) (the percent of the wood piece that was charred by fire), Trapped Sediment (m3) (the total volume of sediment in a debris flow deposition cubic meters), Timing (this is a description of when the wood was deposited with respect to the debris flow. The options are Before, During, or After), Pinned (this indicates wood was pinned against an obstacle or not. If it is pinned, the item is named, otherwise it is labeled as no), Roots/Branches (here indicate either if the roots or branches where still attached to the wood, otherwise it is labeled as no), Orientation (in some locations, the qualitative orientation of

This data release contains data summarizing observations within and adjacent to the Tadpole Fire, which burned from 6 June to 4 July 2020. In particular, this monitoring data were focused on debris flows triggered on 8 September 2020 in four drainage basins (TAD1, TAD2, TAD3, and TAD4). Rainfall data (1a_rain_geophones.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Index, GaugeID (name of rain gauge), StormID (the storm number starting at the first record, where a new storm is defined by 8 hours with no rainfall), TimeStamp (local time), Bin Accum (mm) (The total accumulated rainfall between timesteps in units of millimeters), TotalAccum (mm) (the cumulative rainfall starting from the beginning of the record), 5-minute Intensity (mm/h) (the 5-minute rainfall intensity), 10-minute Intensity (mm/h) (the 10-minute rainfall intensity), 15-minute Intensity (mm/h) (the 15-minute rainfall intensity), 30-minute Intensity (mm/h) (the 30-minute rainfall intensity), and 60-minute Intensity (mm/h) (the 60-minute rainfall intensity). The location of the rain gage is: 32.955, -108.232. Rainfall data (1b_rain_only.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Index, GaugeID (name of rain gauge), StormID (the storm number starting at the first record, where a new storm is defined by 8 hours with no rainfall), TimeStamp (local time), Bin Accum (mm) (The total accumulated rainfall between timesteps in units of millimeters), TotalAccum (mm) (the cumulative rainfall starting from the beginning of the record), 5-minute Intensity (mm/h) (the 5-minute rainfall intensity), 10-minute Intensity (mm/h) (the 10-minute rainfall intensity), 15-minute Intensity (mm/h) (the 15-minute rainfall intensity), 30-minute Intensity (mm/h) (the 30-minute rainfall intensity), and 60-minute Intensity (mm/h) (the 60-minute rainfall intensity).The location of each rain gage station is: 32.956, -108.241. Geophone data (2_geophone.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: TimeStamp (local time), GeophoneUp_mV (the upstream geophone data in millivolts), GeophoneDn_mV (the downstream geophone data in millivolts). The geophones are co-located with a rain gage at: 32.955, -108.232. Field measurement data (3_combined_data.csv) are provided in a comma-separated value (CSV) file. This dataset describes pieces of wood found within different debris flow deposits in four drainages TAD1-TAD4, and there were multiple debris flow deposits in each drainage. The columns in the csv file are: ID (a unique identifier for each wood piece). For example, if there is one piece of wood at a location in the channel TAD1, the wood piece was mapped as TAD1-1. However, in the case of a single debris flow deposit with multiple pieces of wood, a letter is appended for each additional wood piece, such as TAD1-1a, TAD1-1b, TAD1-1c, etc.), ID_base (a unique identifier for each deposit, which may contain multiple wood pieces), Latitude (the Latitude expressed in Decimal Degrees), Longitude the Longitude expressed in Decimal Degrees), Elevation (the elevation expressed in meters), Length (m) (the length of a wood piece in meters), Diameter (cm) (the diameter of the approximate middle of a wood piece in centimeters), Class (a description of the wood piece), Charred (%) (the percent of the wood piece that was charred by fire), Trapped Sediment (m3) (the total volume of sediment in a debris flow deposition cubic meters), Timing (this is a description of when the wood was deposited with respect to the debris flow. The options are Before, During, or After), Pinned (this indicates wood was pinned against an obstacle or not. If it is pinned, the item is named, otherwise it is labeled as no), Roots/Branches (here indicate either if the roots or branches where still attached to the wood, otherwise it is labeled as no), Orientation (in some locations, the qualitative orientation of

This product is a dataset of volumetric soil-water content and soil temperature in an area affected by wildfire in the Boulder Creek watershed, in the Colorado Front Range, USA. The data contained in this archive continue through 7 years of recovery following a wildfire in 2010. Automated sensors (Decagon Devices, 5TE and 5TM) were used to collect the data at 1-minute and 5-minute temporal resolution at several depths in the soil profile. This portion of the data release contains data collected at the south-facing mid-slope (SFM) site

Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid the United States Forest Service in assessing topographic and geophysical properties, as well as supporting ecological restoration planning, and assessing existing conditions of area forests. The Freds Fire project area covers over 150,000 acres (> 600 km 2)