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Location Folder Show Tree ROOT ScienceBase Catalog Users Filters Date Range Past year (3) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (6) OGC WFS Layer (6) OGC WMS Service (6) Contacts Laurel W Gutenberg U.S. Geological Survey U.S. Geological Survey - ScienceBase U.S. Geological Survey Terry L Sohl More... Categories Data (3) Project (1) Tag Types Theme (6) USGS Scientific Topic Keyword (4) Place (6) Harvest Set (5) Label (1) Organization (1) Tag Schemes USGS Thesaurus (2) NASA Global Change Master Directory (2) Geographic Names Information System (GNIS) (3) ISO 19115 Topic Category (2) None (1) https://www.sciencebase.gov/vocab/category/USGSOrg/ClimateandLandUseChange (1) Common geographic areas (1) More... View Results as: JSON ATOM CSV Browse Folder

Great Dismal Swamp Project 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 Conterminous United States Land Cover Projections - 1992 to 2100 The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CONUS, CONUS, Conterminous, Conterminous United States, FORE-SCE, All tags... IPCC, Intergovernmental Panel on Climate Change, Land Cover, Land Use, Land Use Change, Lower 48, Model, SRES, Scenario, Special Report on Emissions Scenarios, USGS, USGS Science Data Catalog (SDC), United States, Fewer tags Soil flux (CO2, CH4), soil temperature, and soil moisture measurements at the Great Dismal Swamp National Wildlife Refuge (2015 - 2017) We identified nine study site locations, representing three mature vegetation communities [Atlantic White Cedar (desired community), tall pine pocosin (desired community), and red maple/black gum mixed (undesired community)] with typical water depth within each vegetation type. All measurements were replicated three times (3 vegetation types x 3 replicates = 9 sites total). We installed four flux chambers at each site to collect GHG fluxes from all nine sites. We measured CO2 and CH4 using a Los Gatos Research Ultra Portable Greenhouse Gas Analyzer and two-part 760 cm2 flux chambers (chamber base remained in situ; chamber top was placed on the bottom only when sampling). We checked the gas fluxes on a monthly time-table... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecology, Geochemistry, Great Dismal Swamp National Wildlife Refuge, Land Use Change, Soil Sciences, All tags... USGS Science Data Catalog (SDC), biogeochemical cycles, carbon, peatlands, soil, soil moisture/water content, terrestrial ecosystems, Fewer tags Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecology, Geography, Great Dismal Swamp, Hydrology, Land Use Change, All tags... Soil Sciences, USGS Science Data Catalog (SDC), biota, carbon cycling, ecosystem management, environment, hydrology, peat, scenarios, Fewer tags Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S. Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote sensing data-streams, automated flood mapping workflows are needed. The U.S. Geological Survey is facilitating the development and integration of machine-learning algorithms in collaboration with NASA, National Geospatial Intelligence Agency (NGA), University of Alabama, and University of Illinois to create a workflow for rapidly... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC), United States, imageryBaseMapsEarthCover, inlandWaters Soil flux (CO2, CH4), soil temperature, and soil moisture measurements at the Great Dismal Swamp National Wildlife Refuge (2015 - 2017) We identified nine study site locations, representing three mature vegetation communities [Atlantic White Cedar (desired community), tall pine pocosin (desired community), and red maple/black gum mixed (undesired community)] with typical water depth within each vegetation type. All measurements were replicated three times (3 vegetation types x 3 replicates = 9 sites total). We installed four flux chambers at each site to collect GHG fluxes from all nine sites. We measured CO2 and CH4 using a Los Gatos Research Ultra Portable Greenhouse Gas Analyzer and two-part 760 cm2 flux chambers (chamber base remained in situ; chamber top was placed on the bottom only when sampling). We checked the gas fluxes on a monthly time-table... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecology, Geochemistry, Great Dismal Swamp National Wildlife Refuge, Land Use Change, Soil Sciences, All tags... USGS Science Data Catalog (SDC), biogeochemical cycles, carbon, peatlands, soil, soil moisture/water content, terrestrial ecosystems, Fewer tags