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LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100% (cover values less than 10% are binned into the 10% value). The three independent lifeform datasets are merged into a single product based on the dominant...
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LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types. HDist includes the year of disturbance that is recorded for that pixel. In LF 2022, the time since disturbance code is the same for both HDist...
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LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances...
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LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
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LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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The LANDFIRE (LF) Canadian Forest Fire Danger Rating System (CFFDRS) product depicts fuel types as an identifiable association of fuel elements of distinctive species, form, size, arrangement, and continuity. CFFDRS exhibits characteristic fire behavior under the specified burn conditions. In LF 2022 Canadian fuel models are derived from the Fuel Model Guide to Alaska Vegetation (Alaska Fuel Model Guide Task Group, 2018) and subsequent updates. The LF CFFDRS product contains the fuel models used for the Fire Behavior Prediction (FBP) system fuel type inputs. Default values assigned to the Canadian Fuel Models required to run the Prometheus fire behavior software (Prometheus, 2021) are added as attributes to the...
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LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine the starting point of embers in the spotting model, wind reductions, and the volume of crown fuels. To create this product, plot level CH values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance Canopy Cover and CH are used as predictors of disturbed CH using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and time since...
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LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LF 2022 Fuel Disturbance (FDist) uses the latest Annual Disturbance products from the effective disturbance years of 2013 to 2022. FDist is created from LF 2022 Historical Disturbance (HDist) which in turn aggregates the Annual Disturbance products. FDist groups similar disturbance types, severities and time since disturbance categories which represent disturbance scenarios within the fuel environment. FDist is used in conjunction with Fuel Vegetation Type (FVT), Cover (FVC), and Height (FVH) to calculate Canopy Cover (CC), Canopy Height (CH), Canopy Bulk Density (CBD), Canopy Base Height (CBH),...
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This dataset is a polygon coverage of counties limited to the extent of the Pond Creek coal zone resource areas and attributed with statistics on these coal quality parameters: ash yield (percent), sulfur (percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic (ppm) content and mercury (ppm) content. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. The attributes were generated from public data found in geochemical dataset found in Chap. G, Appendix 7, Disc 1. Please see the detailed information on the geochemical attributes. The county statistical data used for this data set are found in Tables 2-5 and 17-18, Chap. G, Disc 1. Additional...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Appalachians, Bell County, KY, Boone County, WV, Breathitt County, KY, Buchanan County, VA, All tags...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. F, Appendix 7, Disc 1, and used in this study of the Fire Clay coal zone. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), and the Kentucky Geological Survey (KGS) Kentucky Coal Resources Information System (KCRIS) databases. The metadata file for the complete dataset is found in Chap. F, Appendix 8, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Fire Clay coal zone includes ash yield, sulfur content, SO2 value, gross calorific value,...
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This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...
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Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of the multibeam echosounder surveys was to explore the bathymetry and backscatter intensity of the sea floor in several areas off the southern coast of Long Island along the 20-meter isobath. Survey areas offshore of Fire Island Inlet, Moriches Inlet, Shinnecock Inlet, and southwest of Montauk Point were about 1 kilometer (km) wide and 10 km long. The area was mapped by the U.S. Geological Survey with support from the Canadian Hydrographic Service and the University...
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The Hudson Shelf Valley is the submerged seaward extension of the ancestral Hudson River drainage system and is the largest physiographic feature on the Middle Atlantic continental shelf. The valley begins offshore of New York and New Jersey at about 30-meter (m) water depth, runs southerly and then southeasterly across the Continental Shelf, and terminates on the outer shelf at about 85-m water depth landward of the head of the Hudson Canyon. Portions of the 150-kilometer-long valley were surveyed in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of the multibeam echosounder surveys was to map the bathymetry and backscatter...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. C, Appendix 8, Disc 1, and used in this study of the Pittsburgh coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), the West Virginia Economic and Geological Survey (WVGES), and the Ohio Division of Geological Survey (OHGS) coal quality databases as well as published U.S. Bureau of Mines (USBM) data. The metadata file for the complete dataset is found in Chap. C, Appendix 9, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Allegany County, MD, Allegheny County, PA, Appalachians, Athens County, OH, Barbour County, WV, All tags...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. H, Appendix 2, Disc 1, and used in this study of the Pocahontas No. 3 coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), and the West Virginia Economic and Geological Survey (WVGES) coal quality databases. The metadata file for the complete dataset is found in Chap. H, Appendix 3, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Pocahontas No. 3 coal bed includes ash yield, sulfur content,...
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LANDFIRE's (LF) Annual Disturbance products provide temporal and spatial information related to landscape change. Annual Disturbance depicts areas of 4.5 hectares (11 acres) or larger that have experienced a natural or anthropogenic landscape change (or treatment) within a given year. For the creation of the Annual Disturbance product, information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC) and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), 18 types of agency-contributed "event" perimeters (see LF Public Events Geodatabase), and remotely sensed Landsat imagery. To create the LF Annual Disturbance...
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LANDFIRE's (LF) 2022 Canopy Base Height (CBH) supplies information used in fire behavior models to determine the critical point at which a surface fire will transition to a crown fire in conjunction with other environmental factors, such as wind speed and moisture content. CBH data are continuous from 0 to 9.9 meters (to the nearest 0.1m) and describe the lowest point in a stand where there is enough available fuel (0.25in diameter) to propagate fire vertically through the canopy. Critical CBH is defined as the lowest point at which the Canopy Bulk Density (CBD) is .012kg m-3. Under different scenarios of disturbance and based on previous research incorporating plot-level CBH calculations, CBH for disturbed areas...
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LANDFIRE (LF) 2022 Fuel Vegetation Height (FVH) represents the LF Existing Vegetation Height (EVH) product, modified to represent pre-disturbance EVH in areas where disturbances have occurred over the past 10 years. EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range of 0-100m. Continuous EVH values are binned to align with fuel model assignments when creating FVH. FVH is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVH is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance...


map background search result map search result map GeoTIFF image of the backscatter intensity of the sea floor offshore of Shinnecock Inlet, New York, in 1998 (3-m resolution, Mercator, WGS 84) GeoTIFF image of shaded-relief bathymetry, colored by backscatter intensity, of the sea floor of the Hudson Shelf Valley (12-m resolution, Mercator, WGS 84) Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Fire Clay Coal Zone Point Data (Chemistry) in Kentucky, Virginia and West Virginia Pittsburgh Coal Bed Point Data (Chemistry) in Pennsylvania, Ohio, West Virginia, and Maryland Pond Creek Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE 2022 Forest Canopy Cover (CC) CONUS LANDFIRE 2022 Existing Vegetation Cover (EVC) AK LANDFIRE 2022 Fuel Vegetation Height (FVH) AK LANDFIRE 2022 Forest Canopy Height (CH) AK LANDFIRE 2022 Fuel Disturbance (FDist) AK LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK LANDFIRE Annual Disturbance AK 2022 LANDFIRE 2022 Fuel Vegetation Type (FVT) Puerto Rico US Virgin Islands LANDFIRE 2022 Historical Disturbance (HDist) HI LANDFIRE 2022 Forest Canopy Base Height (CBH) HI Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 GeoTIFF image of the backscatter intensity of the sea floor offshore of Shinnecock Inlet, New York, in 1998 (3-m resolution, Mercator, WGS 84) GeoTIFF image of shaded-relief bathymetry, colored by backscatter intensity, of the sea floor of the Hudson Shelf Valley (12-m resolution, Mercator, WGS 84) Fire Clay Coal Zone Point Data (Chemistry) in Kentucky, Virginia and West Virginia Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia Pond Creek Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Pittsburgh Coal Bed Point Data (Chemistry) in Pennsylvania, Ohio, West Virginia, and Maryland LANDFIRE 2022 Fuel Vegetation Type (FVT) Puerto Rico US Virgin Islands LANDFIRE 2022 Historical Disturbance (HDist) HI LANDFIRE 2022 Forest Canopy Base Height (CBH) HI LANDFIRE 2022 Existing Vegetation Cover (EVC) AK LANDFIRE 2022 Fuel Vegetation Height (FVH) AK LANDFIRE 2022 Forest Canopy Height (CH) AK LANDFIRE 2022 Fuel Disturbance (FDist) AK LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK LANDFIRE Annual Disturbance AK 2022 LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE 2022 Forest Canopy Cover (CC) CONUS