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Filters Date Range Past year (12) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (17) ArcGIS Service Definition (10) Shapefile (4) ArcGIS REST Service (2) Budget (2) Project (2) Types Downloadable (30) GeoTIFF (17) OGC WFS Layer (17) OGC WMS Layer (17) Raster (17) More... Contacts Earth Resources Observation and Science (EROS) Center Gulf Coast Prairie Landscape Conservation Cooperative William Matthew Cushing U.S. Geological Survey - ScienceBase Travis K Sterne More... Categories Data (41) Project (2) Map (1) Web Site (1) Tag Types Place (31) Theme (31) theme (7) LCC End User Type (8) Harvest Set (11) North Pacific Keywords (1) LCC Project Category (4) More... Tag Schemes None (18) West Africa (8) U.S. Department of Commerce; 2013; American National Standards Institute (ANSI) Codes for States, the District of Columbia, Puerto Rico, and the Insular Areas of the United States; Washington, DC; U.S. Census Bureau; http://www.census.gov/geo/reference/ansi_statetables.html. (1) https://earthdata.nasa.gov/gcmd-forum (7) land use land cover (8) https://www.sciencebase.gov/vocab/vocabulary/54760ef9e4b0f62cb5dc41a0 (7) ISO 19115 Topic Category (21) More... View Results as: JSON ATOM CSV

“Common Ground” Landcover Classification: Oklahoma Ecological Systems Mapping The Gulf Coast Prairie Landscape Conservation Cooperative needed seamless landcover data for the south-central United States. This information is essential for developing computer modeling tools related to the conservation of many terrestrial species and determining the quality of vegetation to assess current and desired conditions. Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Conservation NGOs, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, Data Acquisition and Development, All tags... Datasets/Database, EARTH SCIENCE SERVICES, EARTH SCIENCE SERVICES, Federal resource managers, Gulf Coast Prairie Landscape Conservation Cooperative, LCC, LCC Network Science Catalog, Map, OK-01, OK-02, OK-03, OK-04, OK-05, Oklahoma, Population & Habitat Evaluation/Projection, Private land owners, Project, Regional & county planners, State agencies, VISUALIZATION/IMAGE PROCESSING, VISUALIZATION/IMAGE PROCESSING, completed, ecological mapping systems, ecological systems, environment, flora, habitat, land use, landcover, vegetation classification, vegetation communities, Fewer tags Gambia Land Use Land Cover 2013 This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Gambia, Land Cover, Land Use, biota, land cover, All tags... land use, land use classes, landcover, landuse, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Maximum Change Likelihood Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Event Hazards Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Oklahoma Ecological System Mapping The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development... Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecological Systems, Landcover, Oklahoma, Subsystems, Vegetation Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Hazard Impact Type Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, thbbt, Fewer tags Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide two rasters of excess rainfall for current (2002-2012) and future (2090-2099)... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Shift, Ecohydrology, Hawai’i, Infiltration, Landcover, All tags... Main Hawaiian Islands, Rainfall, Runoff, Fewer tags Terrestrial Composition and Composition Change The landscape of the Southern Rockies Landscape Conservation Cooperative (SRLCC) is diverse with mountain peaks over 14,000 feet in the Rocky Mountains to the basement of one of the largest gorges in the world, the Grand Canyon. Variation at this scale lends to a terrestrial composition as varied as its topography. According to the latest dataset used, shrub\scrub and evergreen forest land cover types dominate. Anthropogenic development classified as either urban or agriculture cover only a small portion of the SRLCC. Alterations of the landscape are monopolized by shrub\scrub and forest land covers, but are less significant when compared with their total area across the landscape. The National Land Cover Database... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: National Landcover Database (NLCD), Southern Rockies Landscape Conservation Cooperative, landcover USFS and BLM Interagency Vegetation Mapping Project The Interagency Vegetation Mapping Project (IVMP) provides maps of existing vegetation, canopy cover, size, and cover type for the entire range of the Northern Spotted Owl using satellite imagery from the Landsat Thematic Mapper (TM). This area is commonly called the FEMAT area, in reference to the area's analysis by the Forest Ecosystem Management Assessment Team. A regression modeling approach was used to predict vegetation characteristics from this Landsat data. This process involved the use of numerous sources of ancillary data, the most crucial being USFS, BLM, and Forest Inventory and Analysis (FIA) plot field data and plot photo interpreted information. This data served as training data in the regression... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: BLM, Bureau of Land Management, FEMAT, FIA, Forest inventory and analysis, All tags... Land Cover, NPLCC, USFS, United States Forest Service, landcover, northern spotted owl, Fewer tags High resolution landcover for the Western Gulf Coastal Plain of Louisiana The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product.... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: LA, Landcover, Landuse, Louisiana, coastal Louisiana, All tags... environment, environment, imageryBaseMapsEarthCover, imageryBaseMapsEarthCover, Fewer tags Landcover and Vegetation, Ruby Lake NWR This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Nevada, Ruby Lake NWR, USFWS, landcover Land Cover, Modoc National Wildlife Refuge This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Modoc NWR, USFWS, Wetland, habitat, All tags... landcover, Fewer tags Capo Verde, Land Use Land Cover 2013 This dataset is the second (2013) of two 500-meter land use land cover (LULC) time-periods datasets (2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation using Esri’s ArcGIS Desktop... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Cape Verde, Capo Verde, biota, land cover, land use, All tags... land use classes, landcover, landuse, Fewer tags Marinas in the Gulf of Mexico This dataset shows Marinas within the Gulf of Mexico Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Aransas County, Baldwin County, Boat, Boat Ramps, All tags... Brazoria County, CCAP, Calcasieu Parish, Calhoun County, Cameron County, Cameron Parish, Cape Canaveral National Seashore, Charlotte Harbor, FWC Region-North Central, FWC Region-Northeast, FWC Region-Northwest, FWC Region-South, FWC Region-Southwest, Florida, Florida Keys, GIS, Galveston County, Government lands, Gulf Ecologiocal Management Sites, Hancock County, Harris County, Harrison County, Jackson County, Jefferson County, Jefferson Parish, LOSCO, Lafourche Parish, Lake Okeechobee, Landcover, Launch, Livingston Parish, Louisiana, MPAs, Marina, Marinas, Matagorda County, Mississippi, Mobile County, Northwest Florida Water Management District, Nueces County, Orleans Parish, Percent Canopy, Plaquemines Parish, Ports, Protected Areas, Recreationa Facilities, Roads, SLEUTH urban model, Saint Johns River, San Patricio County, South Florida Water Management District, Southwest Florida Water Management District, St. Bernard Parish, St. Johns River Water Management District, St. Martin Parish, St. Mary Parish, St. Tammany Parish, Suwannee River Water Management District, Tampa Bay, Tangipahoa Parish, Terrebonne Parish, Texas, Vermilion Parish, Willacy County, boating, coastal, east coast of Florida, landcover, mapping, marine, northeast Florida, northwest Florida, oceans, place names, south Florida, southwest Florida, tourism and infrastructure, transportation, transportation, urbanization, west coast of Florida, Fewer tags Grassland quality and pollinator habitat potential in Southwest Louisiana Potential pollinator habitat was derived by ranking land use classifications and grassland quality based on ground truthing and remotely sensed features indicative of remnant prairie. High resolution (10m) land use data served as the basemap (Hartley et al 2017) from which most categories were identified. All known prairie remnants, prairie plantings, and clusters of mima mounds were delineated. Mima mounds were detected by deriving a slope at 1m scale with greater than 5% from high resolution LiDar data (3m). Mima mounds are indicative of areas in which the topsoil has not been significantly disturbed, and therefore have a higher potential to contain native prairie vegetation. Based on an in-depth literature review... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Landcover, Landuse, USGS Science Data Catalog (SDC), coastal Louisiana, environment, All tags... imageryBaseMapsEarthCover, pollinators, Fewer tags Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide a raster stack that contain the probability of excess rainfall exceeding... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Shift, Ecohydrology, Hawai’i, Infiltration, Landcover, All tags... Main Hawaiian Islands, Rainfall, Runoff, Fewer tags Final Report: Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast Sea level rise caused by climate change is an ongoing phenomenon and a concern both locally and worldwide. Low-lying coastal areas are particularly at risk to flooding and inundation, affecting a large proportion of the human population concentrated in these areas as well as natural communities-particularly animal species that depend on these habitats as a key component of their life cycle. While more local, state, and federal governments have become concerned with the potential effects that predicted sea levels will have on their communities and coastal landscapes, more information is needed on the potential effects that changes in sea level will have on coastal habitats and species.ehensive Habitat Type Dataset... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, Academics & scientific researchers, BIOLOGICAL CLASSIFICATION, BIRDS, CRANES AND ALLIES, All tags... Central Texas Coast, Conservation NGOs, EARTH SCIENCE, EARTH SCIENCE > OCEANS > COASTAL PROCESSES > SEA LEVEL RISE, Federal resource managers, LCC Network Science Catalog, Policy makers & regulators, Potential habitat Use, Regional & county planners, Report, State agencies, Texas, Texas, Texas Coast, biota, completed, environment, landcover, Fewer tags Webinar: Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast Sea level rise caused by climate change is an ongoing phenomenon and a concern both locally and worldwide. Low-lying coastal areas are particularly at risk to flooding and inundation, affecting a large proportion of the human population concentrated in these areas as well as natural communities-particularly animal species that depend on these habitats as a key component of their life cycle. While more local, state, and federal governments have become concerned with the potential effects that predicted sea levels will have on their communities and coastal landscapes, more information is needed on the potential effects that changes in sea level will have on coastal habitats and species.ehensive Habitat Type Dataset... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, Academics & scientific researchers, BIOLOGICAL CLASSIFICATION, All tags... BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, BIRDS, BIRDS, BIRDS, CRANES AND ALLIES, CRANES AND ALLIES, CRANES AND ALLIES, Conservation NGOs, EARTH SCIENCE, EARTH SCIENCE, EARTH SCIENCE, EARTH SCIENCE > OCEANS > COASTAL PROCESSES > SEA LEVEL RISE, Federal resource managers, LCC Network Science Catalog, Policy makers & regulators, Potential habitat Use, Regional & county planners, State agencies, Texas, Texas, Texas Coast, biota, completed, environment, landcover, presentation, Fewer tags High resolution landcover for the Western Gulf Coastal Plain of Louisiana The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product.... Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, Complete, Data, EARTH SCIENCE, EARTH SCIENCE > LAND SURFACE, All tags... EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER, Federal resource managers, LAND SURFACE, LAND USE/LAND COVER, LAND USE/LAND COVER CLASSIFICATION, LCC Network Science Catalog, Landcover, Landcover, Landuse, Landuse, Regional & county planners, State agencies, coastal Louisiana, environment, environment, imageryBaseMapsEarthCover, Fewer tags Landscape Ecology, Modeling, Mapping & Analysis (LEMMA) Project Links NWFP-20 - Northwest Forest Plan Effectiveness Monitoring (20-Year Report)Estimated completion June 2015This project is a continuation of research completed for the 15-year Report for NWFP Effectiveness Monitoring. We are continuing to develop and refine modeling techniques and data, to provide improved multi-date GNN maps of forest vegetation and older forest. Key improvements to GNN modeling to be implemented in this project are: (1) addition of more inventory plots, with yearly matching of plots to LandTrendr imagery for model development; (2) incorporation of measures of disturbance history, derived from LandTrendr algorithms, as spatial predictors; (3) improved GNN outlier analysis using TimeSync; and (4) additional... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: BLM, Bureau of Land Management, CA, CLAMS, CMONster, All tags... California, California, GNN, GNNFire, GNNViz, IMAP, LEMMA, Land Cover, Landcover, LiGNN, Model, Modeling, NPLCC, NWFP, NaFIS, National Forest, National Forests, North Pacific Landscape Conservation Cooperative, Northwest Forest Plan, OR, Oregon, Oregon, PNW ReGAP, Pacific Northwest, Spotted Owl boundary, Vegetation, WA, Washington, Washington, Fewer tags 1 2 3 »