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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Oyster Bayou Marsh Creation and Terracing (CS-59) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within...
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Highway 384 Hydrologic Restoration (CS-21) project for 2015. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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This dataset contains information on all snakehead fishes found in the United States. It is a subset of a larger database, the Nonindigenous Aquatic Species Database (NAS). This information resource is an established central repository for spatially referenced biogeographic accounts of introduced aquatic species. The NAS website provides scientific reports, online/real-time queries, spatial data sets, distribution maps, fact sheets, and general information.
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the East Sabine Lake Hydrologic Restoration (CS-32) project for 2015. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Bayou Dupont Marsh and Ridge Creation (BA-48) project for 2016. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within...
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This metadata describes a digital elevation model (DEM) created from bathymetric and topographic data collected between 2017 and 2019 in the Sacramento River Deep Water Ship Channel (DWSC), northern Sacramento-San Joaquin Delta, California. We merged the newly collected bathymetric and topographic data presented in this data release (DOI:10.5066/P9AQSRVH) with 2019 surveys by the California Department of Water Resources (DWR) and 2017 USGS Sacramento Delta Lidar, to produce a seamless digital elevation model of the DWSC at a grid resolution of 1 m.
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the National Hydrography Dataset (NHD), National Watershed Boundary Dataset (WBD), and 3D Elevation Program Digital Elevation Model (3DEP DEM). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to a data suite that includes the NHD stream network with linear referencing functionality, the WBD hydrologic units, elevation-derived catchment areas for each stream segment, "value added attributes" (VAAs), and other features that enhance hydrologic data analysis and routing.
Tags: 4-digit hydrologic unit, Addison County, Bennington County, Berkshire County, CT, All tags...
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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...
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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...
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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),...
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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brings together these scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau...
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The Geographic Information Network for Alaska will complete uniform and consistent ecological mapping of the North Slope region and provide a summary of existing field site ecological descriptions (including photos) in a web based environment. Existing automated field information and photos that have reliable geolocation information will be compiled and entered in a web based geographic display based on the ecological mapping.
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The Desert Landscape Conservation Cooperative Land Cover Map shows land cover at a regional scale (1:2,500,000). The files provided are graphic design files that can be used to plot a publication-quality, poster-size map.Scale: 1:2,500,000 Map poster dimensions: 34 x 44 inches Data sources:Land cover from North American Environmental Atlas by the Commission for Environmental Cooperation, 2010. Physiographic regions from Natural Earth 1:10 million scale Physical Labels (3.0.0) derived from Patterson’s Physical Map of the World, 2008. Hydrography, populated places, and political boundaries from National Atlas of the United States, 2004. File descriptions: DLCC_LandCover.ai is an Adobe Illustrator file. DLCC_LandCover.pdf...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Conservation NGOs, DATA ANALYSIS AND VISUALIZATION, Data, Data.gov Desert Landscape Conservation Cooperative, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: AK, Alaska, Anchorage County, Downloadable Data, FileGDB, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the National Hydrography Dataset (NHD), National Watershed Boundary Dataset (WBD), and 3D Elevation Program Digital Elevation Model (3DEP DEM). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to a data suite that includes the NHD stream network with linear referencing functionality, the WBD hydrologic units, elevation-derived catchment areas for each stream segment, "value added attributes" (VAAs), and other features that enhance hydrologic data analysis and routing.
Tags: Belknap, Carroll, Cheshire, Downloadable Data, Esri File GeoDatabase 10, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: CharlotteCounty, CitrusCounty, DeSotoCounty, Downloadable Data, FL, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Archer County, Baylor County, Beckham County, Briscoe County, Bryan County, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Chaves County, Culberson County, Curry County, De Baca County, Downloadable Data, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Adams County, Benton County, Chelan County, Douglas County, Downloadable Data, All tags...


map background search result map search result map Land Cover Map HydroClimate Data Rescue Factsheet Ecological Landscapes and Field Site Web-based Tool USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 8-digit Hydrologic 19020401 (published 20180814) Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification Snakehead fishes in the United States of America Bayou Dupont Marsh and Ridge Creation (BA-48): 2016 land-water classification East Sabine Lake Hydrologic Restoration (CS-32): 2015 land-water classification USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for Hydrological Unit (HU) 4 - 0107 (published 20230713) FileGDB USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for Hydrological Unit (HU) 4 - 0108 (published 20220324) FileGDB USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0310 (published 20180501) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1113 (published 20180813) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1306 (published 20180911) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1702 (published 20180911) Digital elevation model (DEM) of the Sacramento River Deep Water Ship Channel (DWSC), Sacramento-San Joaquin Delta, California Oyster Bayou Marsh Creation and Terracing (CS-59): 2018 land-water classification LANDFIRE 2022 Forest Canopy Height (CH) AK LANDFIRE 2022 Fuel Disturbance (FDist) AK LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK Bayou Dupont Marsh and Ridge Creation (BA-48): 2016 land-water classification Oyster Bayou Marsh Creation and Terracing (CS-59): 2018 land-water classification Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification East Sabine Lake Hydrologic Restoration (CS-32): 2015 land-water classification Digital elevation model (DEM) of the Sacramento River Deep Water Ship Channel (DWSC), Sacramento-San Joaquin Delta, California USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 8-digit Hydrologic 19020401 (published 20180814) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for Hydrological Unit (HU) 4 - 0107 (published 20230713) FileGDB USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0310 (published 20180501) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for Hydrological Unit (HU) 4 - 0108 (published 20220324) FileGDB USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1306 (published 20180911) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1113 (published 20180813) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1702 (published 20180911) Ecological Landscapes and Field Site Web-based Tool HydroClimate Data Rescue Factsheet Land Cover Map LANDFIRE 2022 Forest Canopy Height (CH) AK LANDFIRE 2022 Fuel Disturbance (FDist) AK LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK Snakehead fishes in the United States of America