Todd J Hawbaker

Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China

Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...

Tags: Boreal forest, Carbon and greenhouse gas emissions, China, Ecology, Forestry, All tags... Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), Wildfire, Fewer tags

Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015)

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...

Categories: Data Release - Revised; Tags: Alabama, Arizona, Arkansas, BAECV, Burned area, All tags... California, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Landsat, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Prescribed fire, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, USGS Science Data Catalog (SDC), United States, Utah, Vermont, Virginia, Washington, West Virginia, Wildfire, Wildland fire, Wisconsin, Wyoming, Fewer tags

The Great Dismal Swamp (GDS) project is an application of USGS LandCarbon, at the US Fish and Wildlife Service's (FWS) Great Dismal Swamp National Wildlife Refuge (NWR), and is designed to produce local-scale carbon estimates (including fluxes, ecosystem balance, and long-term sequestration rate) to include in an ecosystem service assessment in support of Department of Interior (DOI) land management activities. The project will improve the understanding of the effects of past drainage, logging, farming, and management on carbon sequestration and fire risk in peatlands. Broad Science Questions: How are ecosystem services (including carbon sequestration, wildlife viewing, water quality, and others) impacted by management...

Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Atlantic White Cedar, Carbon Flux, Carbon Stock, Disturbance, Ecosystem Services, All tags... Freshwater forested wetland, Great Dismal Swamp, Great Dismal Swamp National Wildlife Refuge, Hydrology, LUCAS Model, Lateral West Fire, Mid-Atlantic Coastal Plain, Net Ecosystem Carbon Balance, Peatlands, Soil Carbon, Staging, State-and-transition simulation models, USGS, Wetlands, Fewer tags

Great Dismal Swamp field measurements for aboveground and belowground biomass

Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biomass, Botany, Cover, Duff, Ecology, All tags... Forestry, Great Dismal Swamp, Height, Herbaceous, Litter, North Carolina, Peat, Shrub, Soil Sciences, Tree, USGS Science Data Catalog (SDC), United States, Vegetation, Virginia, Fewer tags

Final Report: Changes to watershed vulnerability under future climates, fire regimes, and population pressures

Public Summary: The area burned by wildfires is expected to increase in many watersheds of the world over the next century as a function of climate change. Increased sedimentation due to soil erosion in burned watersheds can negatively impact downstream aquatic ecosystems and the quality and supply of water. At least 65% of the water supply in the western USA originates in watersheds covered by trees, shrubs, and/or grasses that are prone to wildfire16. Understanding how changing fire frequency, extent, and location will affect watersheds, reservoirs, and the ecosystem services they supply to communities is therefore of great societal importance. A primary threat to socio-ecological systems in this region from...

Categories: Publication; Types: Citation; Tags: Drought, Fire and Extreme Weather, Fire, Northwest CASC, Rivers, Streams and Lakes, Water, Coasts and Ice