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The 3D Elevation Program is managed by the U.S. Geological Survey (USGS) National Geospatial Program to respond to growing needs for high-quality topographic data and for a wide range of other three-dimensional (3D) representations of the Nation's natural and constructed features. 3DEP informs critical decisions that are made across our Nation every day that depend on elevation data, ranging from immediate safety of life, property, and environment to long term planning for infrastructure projects. 3DEP is based on the results of the National Enhanced Elevation Assessment (NEEA) that was funded by National Digital Elevation Program (NDEP) agencies and completed in 2012. The study, led by the USGS, identified more...
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The central objective of this project was to answer two questions: 1) how downscaled climate datasets, modeled vegetation changes, and information on estimated species sensitivities can be used to develop climate change adaptation strategies, and 2) how model results and datasets can be made more useful for informing the management of species and landscapes. To answer these questions, we identified enthusiastic partners working in two very different complex landscapes within the North Pacific Landscape Conservation Cooperative (NPLCC): 1) the British Columbia Park system, specifically the midcoast region, and 2) the National Wildlife Refuge system in the Willamette Valley, OR. The issues and concerns of each group...
This CED spatial web service (ESRI ArcGIS Online Hosted Feature Layer) provides spatial representations and attribute information of conservation efforts entered into the Conservation Efforts Database (https://conservationefforts.org) by various data providers. This spatial web service is made of point, line, and polygon layers and non-spatial tables. Feature records are group with their respective spatial feature type layers (point, line, polygon). The three spatial layers have identical attribute fields. Read only access to this data is ONLY available via an interactive web map on the Conservation Efforts Database website or authorized websites. Users who are interested in more access can directly contact the...
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In January 2020, the North Carolina Department of Transportation (NCDOT) began work on the Interstate 26 (I 26) highway widening project that involves a bridge crossing over the French Broad River (FBR) near Asheville, North Carolina. The U.S Geological Survey (USGS) in cooperation with the NCDOT conducted a pre-construction light detection and ranging (lidar) survey of the streambanks within a one-kilometer reach of the FBR at the bridge construction site in November 2019 (Whaling and others, 2023). In December 2021, a canoe-based repeat streambank lidar survey was collected approximately 23 months after construction began, with the purpose to monitor geomorphological changes to the streambank and inform the NCDOT...
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This contain a zip folder of comma delimited (CSV) files for each of the 19 tables in the report. It is produced automatically upon compiling the R Quarto code. Column headers are difference than in the tables in the report but order is exactly the same. Refer to the report to understand meaning of the columns. Each cell of the tables contain a management index estimate or the standard error of the estimate.
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This project is an annual communicating memo explicitly designed to inform the Alaska Migratory Bird Comanagement Council and related partners of the survey results and subsequent population index for emperor geese (Anser canagicus) for incorporation of the data into the harvest management strategy and regulatory processes. This memorandum is additionally shared widely with partners outside the USFWS. The major products are an annual report in .pdf format and the associated R Markdown generating code.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.


map background search result map search result map CPA_Data Maps Applying Vulnerability Assessment Tools to Plan for Climate Adaptation:  Case Studies in the North Pacific LCC - Final Report USGS US Topo 7.5-minute map for De Gray, AR 2020 USGS US Topo 7.5-minute map for Hartwell, GA 2020 USGS US Topo 7.5-minute map for Abbeville South, GA 2020 USGS US Topo 7.5-minute map for Camilla, GA 2020 USGS US Topo 7.5-minute map for Donalsonville NE, GA 2020 USGS US Topo 7.5-minute map for Hastings Fish Pond, GA 2020 USGS US Topo 7.5-minute map for Irwinville, GA 2020 USGS US Topo 7.5-minute map for Ray City, GA 2020 USGS US Topo 7.5-minute map for Temple, GA 2020 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data Streambank topographic lidar survey of the French Broad River near the Interstate 26 bridge located south of Asheville, NC – December 2021, Mid-construction #2 2024 Alaska Goose, Swan, and Crane Population Indices R Quarto Code 2024 Alaska Emperor Goose Population Index Update Streambank topographic lidar survey of the French Broad River near the Interstate 26 bridge located south of Asheville, NC – December 2021, Mid-construction #2 USGS US Topo 7.5-minute map for De Gray, AR 2020 USGS US Topo 7.5-minute map for Hartwell, GA 2020 USGS US Topo 7.5-minute map for Abbeville South, GA 2020 USGS US Topo 7.5-minute map for Camilla, GA 2020 USGS US Topo 7.5-minute map for Donalsonville NE, GA 2020 USGS US Topo 7.5-minute map for Hastings Fish Pond, GA 2020 USGS US Topo 7.5-minute map for Irwinville, GA 2020 USGS US Topo 7.5-minute map for Ray City, GA 2020 USGS US Topo 7.5-minute map for Temple, GA 2020 Applying Vulnerability Assessment Tools to Plan for Climate Adaptation:  Case Studies in the North Pacific LCC - Final Report 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data 2024 Alaska Goose, Swan, and Crane Population Indices R Quarto Code 2024 Alaska Emperor Goose Population Index Update