Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 05/05/20 - Update to show new LRC boundary. Minor change between LRL and LRH. 07/31/24 - Update to show new SAA Caribbean District.
The data contained in these files are hydrographic and topographic data collected by the SHOALS-1000T system along the Delaware, Maryland, New Jersey, New York, North Carolina and Virginia coastline as part of the National Coastal Mapping Program. The lidar data for DE, MD, NJ and VA was collected from 20050824-20050908. The lidar data for NY and NC was collected from 20051001-20051126.
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Polygon boundaries for the US Army Corps of Engineers districts in the Commonwealth of Kentucky.Data Download: https://ky.box.com/v/kymartian-us-coe-districts
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All charts, queries and maps reflect the most current 2018 National Inventory of Dams (NID) database. State and federal dam regulators provided their data from May to November 2018 for inclusion in the 2018 database.
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COVID-19: Army Corps Uses Maps and Models to Create Surge Hospital CapacityAfter recognizing the possibility that the COVID-19 pandemic could cause hospital bed capacity to be exceeded, the US Army Corps of Engineers (USACE) was tasked with working with the states to build and inspect alternate care facilities.A team from USACE developed engineering plans for converting existing facilities with rooms (such as hotels or college dormitories) and those with large open areas (like field houses or convention centers). From there, the team developed standardized designs, then used mobile applications to quickly assess candidate sites and inspect the retrofitted facilities for readiness._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications. Source of Data The data included in these files are based upon the Annual Summary of Lock Statistics published by the U.S. Army Corps of Engineers/CEIWR, Navigation Data Center. The data are collected at each Corps owned and/or operated Lock by Corps personnel and towing industry vessel operators. This data was collected from the US Army Corps of Engineers and distributed on the National Transportation Atlas Database (NTAD).
© The U.S. Army Corps of Engineers/CEIWR, Navigation Data Center This layer is sourced from maps.bts.dot.gov.
Monthly summary statistics are based on data from the Lock Performance Monitoring System (LPMS). The LPMS was developed to collect a 100% sample of data on the locks that are owned and/or operated by the US Army Corps of Engineers. Each record contains data summarized monthly by lock chamber, and direction (upbound and number and types of vessels and lockages (recreation, commercial, tows, other), cuts, hardware operations, delay and processing times, number of tows and all vessels delayed, total tons, commodity tonnages, and number of barges. The data are by waterway and by calendar year. The waterway files contain 5 years of data for one waterway. The calendar year files contain 1 year of data for all waterways.
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications. Source of Data The data included in these files are based upon the Annual Summary of Lock Statistics published by the U.S. Army Corps of Engineers/CEIWR, Navigation Data Center. The data are collected at each Corps owned and/or operated Lock by Corps personnel and towing industry vessel operators. This data was collected from the US Army Corps of Engineers and distributed on the National Transportation Atlas Database (NTAD).
© The U.S. Army Corps of Engineers/CEIWR, Navigation Data Center
USACE Military Division boundaries. Polygons were derived from National Atlas states and/or from data provided by the district.
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JALBTCX National Coastal Mapping Program Derived Products: Great Lakes & Ohio River DivisionThe layers depicted in this web map were developed to serve regional geospatial data needs of USACE Districts and agency partners to discover and download products derived from USACE National Coastal Mapping Program (NCMP) high resolution, topo-bathymetric lidar and imagery. The USACE NCMP acquires high-resolution, high-accuracy topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The program's survey footprint includes an approximately 1-mile wide swath of topography, bathymetry and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include topographic/bathymetric lidar point clouds, digital surface and elevation models, shoreline vectors and both true-color and hyperspectral imagery mosaics. Value-added derivative information products may include laser reflectance images, landcover classification images, volume change metrics, and the products to help address District project requirements. USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping (IWGOCM) and the 3D Elevation Program (3DEP).NCMP operations are executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The JALBTCX mission is to perform operations, research and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers, the US Naval Meteorology and Oceanography Command and the National Oceanic and Atmospheric Administration. Survey operations are conducted worldwide using the Coastal Zone Mapping and Imaging (CZMIL) system and other industry-based coastal mapping and charting systems. CZMIL is JALBTCX's in-house survey capability that includes and Optech International, CZMIL 03-1 lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and an 80 MP Leica RCD30 RGBN camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-concurrent digital true-color and hyperspectral imagery.
Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.
Input description of the content here and how often it is updated.Data Source(s) Input list of data sources here.Customer(s) The dashboard was requested by Unknown for inclusion into the Tanks Point Density on Unknown date.Contact InformationPlease reach out to ceswg-ecg-geospatial@usace.army.mil with any questions/concerns.Release NotesUnknown
The flood plains were created using the USACE Engineering Research Development Center – AutoRoute hydraulic modeling software. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.
The flood plains were created using the USACE Engineering Research Development Center – AutoRoute hydraulic modeling software. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.
This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.
Point and area locations for active projects from the US Army Corps of Engineers' Corps Project Notebook (CPN). The purpose of the CPN is to provide a single authoritative reference database of the locations of all Corps Civil Works, Military, and Interagency and International support projects. A location is defined as a "site" where work has been or is being executed, operation and maintenance appropriation related to Flood and Coastal Storm Damage Reduction, Hydropower, Navigation, Recreation and Water Supply. Non-Environmental Continuing Authority Program (CAP) Projects and projects that USACE is executing in partnership with other agencies through the Interagency Support Program are also included.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This map covers most of the Prudhoe Bay Oilfield on the North Slope of Alaska that was under development in 1980, covering 145 km^2. The map synthesizes work done for the US Army Corps of Engineers CRREL, the International Biome Program, and the UNESCO MAB Project 6. The mapping was based on aerial photographs taken in 1973 at a scale of 1:6000. The maps are thus a static representation of a type of arctic tundra at a time when only relatively minor terrain disturbance had occurred. It can be used as a baseline against which further natural and human-induced changes to the landscape can be measured. A geoecological approach was used in the mapping of landforms (12 units as well as linear mapping of steep embankments, undercut river banks, excavated areas and streams), soils (7 units) and land cover (29 natural vegetation units and 8 disturbed units). References Walker, D. A., K. R. Everett, P. J. Webber, and J. Brown. 1980. Geobotanical Atlas of the Prudhoe Bay Region, Alaska. US Army Corps of Engineers, CRREL Report 80-14.
This part of DS 781 presents data for bathymetry for several seafloor maps of the Offshore of Point Conception Map Area, California. The GeoTiff is included in "Bathymetry_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Hartwell, S.R., Golden, N.E., Kvitek, R.G., and Davenport, C.W. (S.Y. Johnson and S.A. Cochran, eds.), 2018, California State Waters Map Series—Offshore of Point Conception, California: U.S. Geological Survey Open-File Report 2018–1024, pamphlet 36 p., 9 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20181024. Bathymetry map of the Offshore of Point Conception map area in southern California was generated largely from acoustic-bathymetry data collected by Fugro Pelagos Inc. Acoustic mapping was completed in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. Bathymetric-lidar data was collected in the nearshore area by the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry Technical Center of Expertise in 2009 and 2010. These mapping missions combine to provide continuous bathymetric data from the shoreline as well as acoustic-backscatter data from about the 10-m isobath to beyond the limit of California's State Waters.
The flood plains were created using the USACE Engineering Research Development Center – AutoRoute for all areas with the exception of using the USACE Engineering Research Development Center – River Analysis System (HEC-RAS) hydraulic modeling software, version 6.2 in the Mora area. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. HEC-RAS utilizes a two-dimensional (2D) unsteady flow analysis algorithm. This analysis incorporated breaklines and 2D mesh modifications to better represent terrain features in the simulation. Wood and scrub vegetation features were not represented in the bare earth LIDAR but were considered via Manning’s roughness values. Bridges and buildings were not included in the bare earth LiDAR terrain surface and were not implemented via modifications in HEC-RAS RASMapper. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.
description: This part of SIM 3281 presents data for the bathymetric contours for several seafloor maps (see sheets 1, 2, 3, 7, 10, SIM 3281) of the Offshore of Santa Barbara map area, California. The vector data file is included in "Contours_OffshoreSantaBarbara.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreSantaBarbara/data_catalog_OffshoreSantaBarbara.html. The bathymetry and shaded-relief maps of the Offshore of Santa Barbara map area, California, were generated from bathymetry data collected by California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB), by the U.S. Geological Survey (USGS), and by Fugro Pelagos for the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry Technical Center of Expertise. Most of the offshore area was mapped by CSUMB in the summer of 2007, using a 244-kHz Reson 8101 multibeam echosounder. Smaller areas in the far-east nearshore, as well as further offshore to the west and in the southeast outer shelf area, were mapped by the USGS in 2005 and 2006, using a combination of 468-kHz (2005) and 117-kHz (2006) SEA (AP) Ltd. SWATHplus-M phase-differencing sidescan sonars. The nearshore bathymetry and coastal topography were mapped for USACE by Fugro Pelagos in 2009, using the SHOALS-1000T bathymetric-lidar and Leica ALS60 topographic-lidar systems. All these mapping missions combined to collect bathymetry from the 0-m isobath to beyond the 3-nautical-mile limit of California's State Waters. A smooth arithmetic mean convolution function that assigns a weight of one-ninth to each cell in a 3-pixel by 3-pixel matrix was then applied iteratively to the grid ten times. Following smoothing, contour lines were generated at 10-m intervals, then the contours were clipped to the boundary of the map area.; abstract: This part of SIM 3281 presents data for the bathymetric contours for several seafloor maps (see sheets 1, 2, 3, 7, 10, SIM 3281) of the Offshore of Santa Barbara map area, California. The vector data file is included in "Contours_OffshoreSantaBarbara.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreSantaBarbara/data_catalog_OffshoreSantaBarbara.html. The bathymetry and shaded-relief maps of the Offshore of Santa Barbara map area, California, were generated from bathymetry data collected by California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB), by the U.S. Geological Survey (USGS), and by Fugro Pelagos for the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry Technical Center of Expertise. Most of the offshore area was mapped by CSUMB in the summer of 2007, using a 244-kHz Reson 8101 multibeam echosounder. Smaller areas in the far-east nearshore, as well as further offshore to the west and in the southeast outer shelf area, were mapped by the USGS in 2005 and 2006, using a combination of 468-kHz (2005) and 117-kHz (2006) SEA (AP) Ltd. SWATHplus-M phase-differencing sidescan sonars. The nearshore bathymetry and coastal topography were mapped for USACE by Fugro Pelagos in 2009, using the SHOALS-1000T bathymetric-lidar and Leica ALS60 topographic-lidar systems. All these mapping missions combined to collect bathymetry from the 0-m isobath to beyond the 3-nautical-mile limit of California's State Waters. A smooth arithmetic mean convolution function that assigns a weight of one-ninth to each cell in a 3-pixel by 3-pixel matrix was then applied iteratively to the grid ten times. Following smoothing, contour lines were generated at 10-m intervals, then the contours were clipped to the boundary of the map area.
Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 05/05/20 - Update to show new LRC boundary. Minor change between LRL and LRH. 07/31/24 - Update to show new SAA Caribbean District.