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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known...
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Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. This dataset presents projections of historic and future fire probability for the southcentral U.S. using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM, Guyette et al., 2012). Climate data from 1900-1929 and projected climate data for 2040-2069 and 2070-2099 were used as model inputs to the Physical Chemistry Fire Frequency Model (Guyette et al. 2012) to estimate fire probability. Baseline and future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. The nine associated data sets (tiffs) represent estimated change in mean fire probability...
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This USGS Data Release section presents tipping-bucket rain gage data collected following the 2000 Cerro Grande Fire near Los Alamos, New Mexico. Further details are provided in https://onlinelibrary.wiley.com/doi/10.1002/hyp.6806.
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This data release presents measurements and derived parameters for attributes of bulk density, loss on ignition, soil-water retention, and hydraulic conductivity for a site (Richardson) near Hess Creek in interior Alaska, USA. These measurements are useful for hydrologic modeling and predictions of water availability in this region.
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***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3.*** This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and...
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene-level products. Prior to generating annual composites, individual scenes that had > 0.010 burned proportion...
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This data release includes time-series data from a monitoring site located in a small (0.12 km2) drainage basin in the Las Lomas watershed in Los Angeles County, CA, USA. The site was established after the 2016 Fish Fire and recorded a series debris flows in the first winter after the fire. The station is located along the channel at the outlet of the study area (34 9’18.50”N, 117 56’41.33”W, WGS84). The data were collected between November 15, 2016 and February 23, 2017. The data include two types of time series: (1) continuous 1-minute time series of rainfall and flow stage recorded by a laser distance meter suspended over the channel (LasLomasContinuous.csv), and (2) 50-Hz time series of flow stage and flow-induced...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available fire datasets that identify wildfire and prescribed fire burned areas across the United States. However, these datasets are all limited in some way. Their time periods could cover only a couple of decades or they may have stopped collecting data many years ago. Their spatial footprints may be limited to a specific geographic area or agency. Their attribute data may be limited to nothing more than a polygon and a year. None of the existing datasets provides a comprehensive picture of fires that have burned throughout the last...
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These data were compiled to evaluate pinyon-juniper regeneration dynamics following stand-replacing wildfire and thinning treatments. Objectives of our study were to investigate vegetation community composition and tree recruitment in post-fire and post-thinning environments. These data represent plant and biological soil crust community composition and climatological records among intact, thinned, and burned pinyon–juniper woodlands. These data were collected in Mesa Verde National Park and Ute Mountain Ute Tribal Park from 6/1/2021 to 6/10/2021 and from 03/1/2022 to 11/30/2022 at two burned and two intact pinyon-juniper ecosystems in Mesa Verde National Park only. These data were collected by the U.S. Geological...
Categories: Data; Tags: Botany, Colorado, Echo House (historical), Ecology, Geography, All tags...
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
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Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. This dataset presents projections of historic and future fire probability for the southcentral U.S. using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM, Guyette et al., 2012). Climate data from 1900-1929 and projected climate data for 2040-2069 and 2070-2099 were used as model inputs to the Physical Chemistry Fire Frequency Model (Guyette et al. 2012) to estimate fire probability. Baseline and future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. The nine associated data sets (tiffs) represent estimated change in mean fire probability...
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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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In response to the 2010 Fourmile Canyon fire near Boulder, Colorado, the U.S. Geological Survey collected data to support investigations into the magnitude and critical drivers of water-quality impairment after wildfire. We analyzed chemistry of stream water, sediment, wildfire ash, soil, dust, and mine waste for metals and other parameters in order to evaluate the effects of legacy mining and wildfire on stream chemistry in the Colorado Front Range, USA. This data release includes data that were published earlier (McCleskey et al., 2012; Murphy et al., 2018).
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This Data Release summarizes measurements of hydraulic and physical properties of soils and ash at sites in the area impacted by the 2017 Thomas Fire, USA. Physical properties include dry bulk density, loss on ignition, and saturated soil water content. Hydraulic properties include field-saturated hydraulic conductivity, sorptivity, Green-Ampt wetting front potential, and soil water retention. These measurements provide a foundation to reduce uncertainty of parameters in hydrologic models used to predict water-related hazards, water quality, and water quantity. Note that all methods of data acquisition and processing, column headings, and data annotations are explained in the metadata files.
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A raster identifying previously burned areas as being 1) recovered (to sagebrush-dominant ecosystem), 2) recovering, or 3) transitioned to annual grass-dominated.
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Spatial data used in the study "Characterization and Evaluation of Controls on Post-Fire Streamflow Response Across Western U.S. Watersheds".
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This data release presents measurements and derived parameters for attributes of bulk density, loss on ignition, soil-water retention, and hydraulic conductivity for a site (Richardson) near Hess Creek in interior Alaska, USA. These measurements are useful for hydrologic modeling and predictions of water availability in this region.
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In this study, organic petrology and Osmium isotope (187Os/188Os) stratigraphy, major and trace element, and programmed pyrolysis analysis were performed on five outcrop samples from western New York, USA. Seawater Os isotope composition is controlled by radiogenic input from weathering of the ancient land and nonradiogenic input from extraterrestrial and hydrothermal sources (Peucker-Ehrenbrink and Ravizza, 2000). Os is complexed by the organic matter present at the time of deposition without isotope fractionation. Seawater Os isotope composition is reconstructed by analysing the Os isotope composition of the organic-rich sedimentary rock (Turgeon et al., 2007). The short residence time of Os (10 – 50 kyrs) in...
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
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This Data Release summarizes measurements of hydraulic and physical properties of soils and ash at sites in the area impacted by the 2017 Thomas Fire, USA. Physical properties include dry bulk density, loss on ignition, and saturated soil water content. Hydraulic properties include field-saturated hydraulic conductivity, sorptivity, Green-Ampt wetting front potential, and soil water retention. These measurements provide a foundation to reduce uncertainty of parameters in hydrologic models used to predict water-related hazards, water quality, and water quantity. Note that all methods of data acquisition and processing, column headings, and data annotations are explained in the metadata files.


map background search result map search result map Post-Fire Streamflow Spatial data for Western US Watersheds Fire probability for 1900-1929 using CGCM baseline climate values Fire probability for 1900-1929 using GFDL baseline climate values Post-wildfire debris-flow monitoring data, Las Lomas, 2016 Fish Fire, Los Angeles County, California, November 2016 to February 2017 Soil-hydraulic properties in the area impacted by the 2017 Thomas Fire in California, USA Soil-water retention in the area impacted by the 2017 Thomas Fire in California, USA Enhanced wildfire at the Frasnian-Famennian boundary and its implications for O2 level and F-F mass extinction: evidence from organic petrology and Os isotope stratigraphy Loss on ignition near Hess Creek in interior Alaska Field-saturated hydraulic conductivity near Hess Creek in interior Alaska State Transition Model of Cumulative Burned Area to Annual Grass in the Great Basin Region of the Western U.S. Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products Chemistry of water, stream sediment, wildfire ash, soil, dust, and mine waste for Fourmile Creek Watershed, Colorado, 2010-2019 Combined wildfire datasets for the United States and certain territories, 1878-2019 Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) Site data from observations of post-fire and thinned stands of piñon-juniper woodlands on the Colorado Plateau Post-wildfire rain gage data for Rendija Canyon, New Mexico Post-wildfire debris-flow monitoring data, Las Lomas, 2016 Fish Fire, Los Angeles County, California, November 2016 to February 2017 Loss on ignition near Hess Creek in interior Alaska Field-saturated hydraulic conductivity near Hess Creek in interior Alaska Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Site data from observations of post-fire and thinned stands of piñon-juniper woodlands on the Colorado Plateau Chemistry of water, stream sediment, wildfire ash, soil, dust, and mine waste for Fourmile Creek Watershed, Colorado, 2010-2019 Soil-hydraulic properties in the area impacted by the 2017 Thomas Fire in California, USA Soil-water retention in the area impacted by the 2017 Thomas Fire in California, USA Post-wildfire rain gage data for Rendija Canyon, New Mexico State Transition Model of Cumulative Burned Area to Annual Grass in the Great Basin Region of the Western U.S. Fire probability for 1900-1929 using GFDL baseline climate values Fire probability for 1900-1929 using CGCM baseline climate values Post-Fire Streamflow Spatial data for Western US Watersheds Landsat Burned Area Products Data Release - Landsat 5 TM products Landsat Burned Area Products Data Release - Landsat 7 ETM+ products The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) Combined wildfire datasets for the United States and certain territories, 1878-2019