Metabolism estimates for 356 U.S. rivers (2007-2017): 3. Timeseries data

This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time series observation (1 tab-delimited file per site-variable combination, 1 zip file per site). This compilation of data is intended for use in estimating or interpreting metabolism. Sites were included if they met the initial criteria of having at least 100 dissolved oxygen observations and one of the accepted NWIS site types ('ST','ST-CA','ST-DCH','ST-TS', or 'SP'). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release...

Tags: 007, 012, AK, AL, AR, All tags... Aerobic respiration, Alabama, Alaska, Arkansas, CA, CO, CT, California, Carbon, Carbon dioxide, Colorado, Connecticut, DC, DE, Delaware, Dissolved oxygen, District of Columbia, Energy metabolism, FL, Florida, GA, Gas exchange, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NJ, NM, NY, Nebraska, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, Oxygen, PA, PR, Pennsylvania, Photosynthesis, Primary production, Puerto Rico, Rivers, SC, SD, South Carolina, South Dakota, Streams, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, Water courses, West Virginia, Wisconsin, Wyoming, environment, inlandWaters, Fewer tags

LANDFIRE 2022 Existing Vegetation Cover (EVC) AK

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...

Tags: AK, Alaska, EVC, Existing Vegetation Cover, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2002 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 1986 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2021 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, USGS Metadata Identifier, USGS:62b4778cd34e8f4977cbcee4, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

National Park Service Thematic Burn Severity Mosaic in 2006 (ver. 6.0, January 2024)

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

National Park Service Thematic Burn Severity Mosaic in 1995 (ver. 6.0, January 2024)

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

National Park Service Thematic Burn Severity Mosaic in 1996 (ver. 6.0, January 2024)

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

National Park Service Thematic Burn Severity Mosaic in 2013 (ver. 6.0, January 2024)

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

National Park Service Thematic Burn Severity Mosaic in 2018 (ver. 6.0, January 2024)

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

Undersized Fire Mapping Program Burned Area Boundaries (ver. 5.0, October 2023)

This map layer is a vector polygon shapefile of the perimeters of all currently inventoried fires occurring between calendar year 2021 and 2021 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS); however, these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK

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...

Tags: AK, Alaska, CFFDRS, Canadian Forest Fire Danger Rating System, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags

LANDFIRE 2022 Forest Canopy Height (CH) AK

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...

Tags: AK, Alaska, CH, Canopy Height, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags

LANDFIRE 2022 Fuel Disturbance (FDist) AK

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),...

Tags: AK, Alaska, FDist, Fuel Disturbance, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, disturbance, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags

Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs

This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1 zip file per site). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, AK, AR, Aerobic respiration, All tags... Alaska, Arkansas, CA, CO, CT, California, Carbon, Carbon dioxide, Colorado, Connecticut, DC, DE, Delaware, Dissolved oxygen, District of Columbia, Energy metabolism, FL, Florida, GA, Gas exchange, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MA, MD, MI, MN, MO, Maryland, Massachusetts, Michigan, Minnesota, Missouri, NC, ND, NE, NJ, NM, NY, Nebraska, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, Oxygen, PA, Pennsylvania, Photosynthesis, Primary production, Rivers, SC, SD, South Carolina, South Dakota, Streams, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, Water courses, West Virginia, Wisconsin, Wyoming, environment, inlandWaters, Fewer tags

LANDFIRE Annual Disturbance AK 2022

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...

Tags: AK, Alaska, Annual Disturbance, Annual Disturbance 2022, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, yearly disturbance, Fewer tags

LANDFIRE 2022 Fuel Vegetation Height (FVH) AK

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...

Tags: AK, Alaska, EVH, Existing Vegetation Height, FVH, All tags... Fuel Vegetation Height, LANDFIRE 2022, LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2019 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2007 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 1992 (ver. 5.0, August 2023)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...

Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags