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One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Located in the northern tropical Pacific Ocean, Majuro is the capital of the Republic of the Marshall Islands. Majuro Atoll consists of a large, narrow landmass and a set of smaller perimeter islands surrounding a lagoon that is over 100 square miles in size. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep slopes. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital... Categories: Data; Tags: 3D Elevation Program, 3DEP, American Society of Photogrammetry and Remote Sensing, Base Maps, Bathymetric, All tags... Bathymetry, Calalin, Calalin Channel, CoNED, Coastal National Elevation Database, Coastal Zone, DEM, DTM, Digital Elevation Model, Digital Terrain Model, Djarrit, Earth Cover, Geography, Geomorphology, Hydrologic, Hydrologic Modeling, Information Sciences, Laura, Lidar Bathymetry, Light Detection and Ranging, Majuro, Majuro, Majuro Atoll, Majuro Atoll, Majuro Atoll, Majuro Atoll, Multi-beam Sonar, National Standards for Spatial Digital Accuracy, Pacific Islands, Pacific Ocean, RMI, Remote Sensing, Republic of the Marshall Islands, Republic of the Marshall Islands, Republic of the Marshall Islands, Republic of the Marshall Islands, Rita, SDB, Satellite-derived bathymetry, SfM, Single-beam Sonar, Structure from Motion, TBDEM, Topobathy, Topobathymetric, Topobathymetric Digital Elevation Model, Topobathymetric Lidar, U.S., U.S. Geological Survey, USA, USGS, USGS Science Data Catalog (SDC), United States, Water Resources, Western Pacific, Western Pacific Islands, lidar, Fewer tags Long-term field observation of shrubland ecosystem in Wyoming, USA from 2008-2018 The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from... Categories: Data; Tags: Land Use Change, Landsat Path/Row, Landsat time-series, Southwest Wyoming, U.S., All tags... US, USGS Science Data Catalog (SDC), United States, WY, Wyoming, climate change, field observation, fractional components, heat flow (earth), image collections, imageryBaseMapsEarthCover, land use change, long-term monitoring, multispectral imaging, plant community, shrubland, shrubland ecosystem, trends, Fewer tags Canopy Base Height LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy base height (CBH) describes the lowest point in a stand where there is sufficient available fuel (= .25 in dia.) to propagate fire vertically through the canopy. Specifically, CBH is defined as the lowest... Categories: Data; Types: Downloadable; Tags: Canopy Base Height, Federal Government, GIS, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Fire Behavior Fuel Model 40 LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: These fire behavior fuel models represent distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes and fuel types. The fuel models are described by the most... Categories: Data; Types: Downloadable; Tags: 40, Federal Government, Fire Behavior Fuel Model, Fuel Map, GIS, All tags... LANDFIRE, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Fire Behavior Fuel Model 13 LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Thirteen typical surface fuel arrangements or "collections of fuel properties" (Anderson 1982) were described to serve as input for Rothermel's mathematical surface fire behavior and spread model (Rothermel... Categories: Data; Types: Downloadable; Tags: 13, Federal Government, Fire Behavior Fuel Model, Fuel Map, GIS, All tags... LANDFIRE, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Existing Vegetation LANDFIRE for Wyoming at 1:24,000 The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group... Categories: Data; Types: Downloadable; Tags: EVT, Existing Vegetation Type, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Existing Vegetation Cover LANDFIRE for Wyoming at 1:24,000 The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation cover (EVC) data layer is an important input to LANDFIRE modeling efforts. EVC is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Percentage tree canopy cover training data are generated using digital... Categories: Data; Types: Downloadable; Tags: EVC, Existing Vegetation Cover, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, Fewer tags Canopy Height LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy height describes the average height of the top of the canopy for a stand. A spatially-explicit map of canopy height supplies information for fire behavior models such as FARSITE (Finney 1998) to determine... Categories: Data; Types: Downloadable; Tags: CH, Canopy Height, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Canopy Bulk Density LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy bulk density (CBD) is defined as the mass of available canopy fuel per unit canopy volume (Scott and Reinhardt 2001). A spatially explicit map of canopy bulk density supplies information used in fire... Categories: Data; Types: Downloadable; Tags: Canopy Bulk Density, Federal Government, GIS, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Digital Elevation Model for Wyoming 10 meter Note: NED data can be accessed through The National Map (USGS). Instructions are available on The National Map Viewer homepage. The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of... Categories: Data; Types: Downloadable; Tags: DEM, Digital elevation model, Digital terrain model, Drainage Area, Elevation, All tags... Hydrologic, Hydrologic Modeling, Hydrology, LIDAR, LiDAR, Lidar, Light Detection And Ranging, NED, National Elevation Dataset, National Standards for Spatial Digital Accuracy (NSSDA), Surface Model, U.S., U.S. Geological Survey, US, USA, USGS, United States, Wyoming, elevation, grid, high-resolution, topography, Fewer tags Database of Biodiversity, Habitat, and Aquatic Resource Quantification Tools Used for Market-based Conservation in the United States (ver. 2.0, June 2022) This comprehensive database describes the core attributes of quantification tools developed for market-based conservation in the United States. It encompasses tools designed for compensatory mitigation, non-compensatory mitigation, and voluntary conservation/restoration programs. The dataset consists of 107 tools. Each tool's features are described using 33 attributes related to general, technical, and ecological/geographic details. This database was first published in 2018. Version 2.0 expands upon the original database by including tools developed for compensatory mitigation under the Clean Water Act section 404 regulatory program. Version 2.0 also provides updates on tool details provided in the original database.... Categories: Data, Data Release - Revised; Tags: Aquatic resource, Assessment methodology, At-risk species, Biodiversity, Biodiversity market, All tags... Biodiversity offset, Clean Water Act section 404, Compensatory mitigation, Conservation, Conservation bank, Contiguous United States, Credit, Debit, Eco-label, Eco-label certification, Endangered species, Endangered species act, Functional acre, Habitat, Habitat assessment, Habitat exchange, Habitat market, Habitat quantification tool, Listed species, Market-based conservation, Mitigation credit, Mitigation lands, Natural resources, Payment for ecosystem services, Threatened species, U.S., USGS Science Data Catalog (SDC), United States, United States of America, Fewer tags Environmental Site Potential LANDFIRE for Wyoming at 1:24,000 The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The environmental site potential (ESP) data layer represents the vegetation that could be supported at a given site based on the biophysical environment. Map units are named according to NatureServe's Ecological Systems classification, which is a nationally consistent set... Categories: Data; Types: Downloadable; Tags: ESP, Environmental Site Potential, Federal Government, GIS, LANDFIRE, All tags... Potential Vegetation, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Digital Elevation Model for Wyoming 30 meter Note: NED data can be accessed through The National Map (USGS). Instructions are available on The National Map Viewer homepage. The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of... Categories: Data; Types: Downloadable; Tags: DEM, Digital elevation model, Digital terrain model, Drainage Area, Elevation, All tags... Hydrologic, Hydrologic Modeling, Hydrology, LIDAR, LiDAR, Lidar, Light Detection And Ranging, NED, National Elevation Dataset, National Standards for Spatial Digital Accuracy (NSSDA), Surface Model, U.S., U.S. Geological Survey, US, USA, USGS, United States, Wyoming, elevation, grid, high-resolution, topography, Fewer tags Canopy Cover LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy cover describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface fuel... Categories: Data; Types: Downloadable; Tags: CC, Canopy Cover, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2019 Products (ver. 3.0, February 2024) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of... Categories: Data, Data Release - Revised; Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, USGS Science Data Catalog (SDC), United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Biophysical Settings LANDFIRE for Wyoming at 1:24,000 The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY The biophysical settings (BpS) data layer represents the vegetation that may have been dominant on the landscape prior to Euro-American settlement and is based on both the current biophysical environment and an approximation of the historical disturbance regime. It is a refinement... Categories: Data; Types: Downloadable; Tags: Biophysical Settings, BpS, Federal Government, GIS, LANDFIRE, All tags... Potential Vegetation, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Existing Vegetation LANDFIRE for Wyoming at 1:24,000 The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. EVH is determined by the average height weighted by species... Categories: Data; Types: Downloadable; Tags: EVH, Existing Vegetation Height, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Modified topobathymetric elevation data for Lake Powell This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that was interpolated from contours maps created in 1947 and 1959; and (4) interpolated topography where gaps existed in the bathymetric and lidar data or where historical data were not suitable (Poppenga and others, 2020). For this data release, two corrections were made to the TBDEM to address errors associated with the historic... Categories: Data; Tags: 3D Elevation Program, 3DEP, Acoustic Sonar, Arizona, CoNED, All tags... Coastal National Elevation Database, Coastal and Marine Hazards Resources Program, Colorado River, County of Coconino, County of Garfield, County of Kane, County of San Juan, DEM, Earth Resources Observation and Science (EROS) Center, Escalante River, Flood Inundation Modeling, Glen Canyon Dam, Glen Canyon National Recreation Area, Inland Bathymetry, Lake Powell, Light Detection and Ranging, Reservoir Storage Capacity, San Juan River, State of Arizona, State of Utah, TBDEM, Topobathymetric, U.S., U.S. Geological Survey, US, USA, USGS, USGS Science Data Catalog (SDC), United States, Utah, Utah Water Science Center, Water Resources, bathymetry, digital elevation models, elevation, elevation, geoscientificInformation, geospatial analysis, inlandWaters, lidar, topobathymetric digital elevation model, topography, Fewer tags