The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.
Polygonal extents of federal (US Army Corps of Engineers) dredge projects along the Massachusetts marine coastline; historical to 16 December 1998; includes navigational channels, anchorages, harbors, beaches and dikes. Feature attributes include hyperlinks to respective USACE project descriptions, histories, and maps.
The dataset presented here represents a circa 1932 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The original dataset was created by Dunbar, and Britsch, and Kemp (2006). The original dataset is citable as: Dunbar, J. B. and Britsch, L. D., 2006. Land Loss in Coastal Louisiana 1932-2001. Map 1. Engineer Research and Development Center, Vicksburg, MS, Technical Report, ERDC/GSL TR-05-13, Land Loss Map 1 through 7. The USGS Wetland and Aquatic Research Center altered the original data by improving the geo-rectification in specific areas known to contain geo-rectification error, most notably in coastal wetland areas in the vicinity of Four League Bay in western Terrebonne Basin. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset (other than geo-rectification revisions), please contact the dataset originator, the U.S. Army Corps of Engineers (USACE).
Property and Project geospatial data. Interim Risk Management Data. FUDS Program Division and District Boundaries.
The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .
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 partnershop with other agencies through the Interagency Support Program are also included.
Region and subregion information for USACE Automated Wetland Determination Data Sheets (ADS) field data collection. Region and subregion boundaries are depicted as sharp lines, however, climatic conditions and the physical and biological characteristics of landscapes do not change abruptly at the boundaries. In reality, regions and subregions often grade into one another in broad transition zones. In transitional areas, the investigator must use experience and good judgment to select the supplement and indicators that are appropriate to the site based on its physical and biological characteristics. If in doubt about which supplement to use in a transitional area, apply both supplements and compare the results. For additional guidance, contact the appropriate Corps of Engineers District Regulatory Office.
The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate. Sites were selected from the 2009 Base Structure Report (BSR), a summary of the DoD Real Property Inventory. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those in the fifty United States and US Territories were considered for inclusion. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.
The following permits are administered by the U.S. Army Corps of Engineers (ACOE). A Section 10 permit is required for all work, including structures, seaward of the mean high water line in navigable waters of the United States, defined as waters subject to the ebb and flow of the tide, as well as a few of the major rivers used to transport interstate or foreign commerce. A Section 404 permit is required for activities which involve the discharge of dredged or fill material into waters of the United States, including not only navigable waters, but also coastal waters, inland rivers, lakes, streams, and wetlands. A Section 103 permit is required to transport dredged material for the purpose of disposal in the ocean. Please note: These permits are considered together as they are administered by the U.S. Army Corps of Engineers under a single permit application. The U.S. Army Corps of Engineers, New England District has issued a Programmatic General Permit (PGP) for work in Massachusetts. The PGP provides for three levels of regulatory review: * Category I: Activities of minimal environmental impact that do not require Corps regulatory review and are classified as non-reporting. While no written notification to the Corps is required for these "minor" projects, they must comply with the conditions contained in the PGP. * Category II: Activities likely to be of minimal environmental impact but that have the potential to have adverse effects. A project-specific review and authorization from the Corps in writing are required. Copies of the Massachusetts Chapter 91 application and plans, or the Water Quality Certification application and plans, are usually sufficient for Category II review. * Category III: Activities that have potential to cause adverse environmental impacts. These projects must get an Individual Corps license, and therefore require project-specific review, are available for public review and comment, and may require preparation of an Environmental Impact Statement. Review Process: PGP, applications for projects meeting the PGP criteria must include a brief project description, vicinity map, site plan, and a plan view of the proposed structure. Federal and state resource agencies meet every three weeks to review PGP applications. A PGP is usually issued, with or without special conditions, ten days after the review closes. Individual Permits: Applications for Individual Permits must include site location, a description of the project and its purpose, and related maps and plans. Within 15 days of receiving the required application material, the Corps issues a Public Notice seeking comments from abutters, regulatory agencies and the public. Comments are accepted for up to 30 days. The Corps evaluates comments received, compliance with section 404(b)(1) of the federal Clean Water Act, public interest criteria and issues a permit. If denied, the applicant is informed of the reason(s). Neither a PGP nor an Individual Permit is valid until the applicant has obtained a 401 Water Quality Certification from DEP. Individual permits are not valid until CZM concurs that the project is consistent with state coastal policies. Applicability to Aquaculture: Shellfish culture projects smaller than one acre are generally found to be eligible for a PGP. Larger projects, such as hatcheries, may exceed the thresholds of PGP eligibility, and therefore may be required to obtain an Individual Permit. Any project in or affecting the waters of the United States must comply with the conditions of the PGP or, in the case of larger projects, the conditions of an Individual Permit. Forms: PGP - None; Individual - ENG Form 4345: www.nae.usace.army.mil/ Fees PGP - None; Individual - Commercial Activity $100.00 Contact: U.S. Army Corps of Engineers, New England District, Regulatory Branch, (978) 318-8338 and (800) 362-4367.
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.
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 FUDS Public GIS dataset contains point location information for the 2,709 Formerly Used Defense Sites (FUDS) properties where the U.S. Army Corps of Engineers is actively working or will take necessary cleanup actions. These data are accurate as of the 2012 Defense Environmental Restoration Program Annual Report to Congress. Property location information is subject to change as new data become available.
The Digital Terrain Model (DTM) is a 3.28 foot pixel resolution raster in GeoTIFF format upsampled to 2.5 feet to preserve detail. This was created using the ground (class = 2) lidar points and incorporating the breaklines.
The DTMs were developed using LiDAR data. LiDAR is an acronym for LIght Detection And Ranging. Light detection and ranging is the science of using a laser to measure distances to specific points. A specially equipped airplane with positioning tools and LiDAR technology was used to measure the distance to the surface of the earth to determine ground elevation. The classified points were developed using data collected in April to May 2007. The LiDAR points, specialized software, and technology provide the ability to create a high precision three-dimensional digital elevation and/or terrain models (DEM/DTM). The use of LiDAR significantly reduces the cost for developing this information.
The DTMs are intended to correspond to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). DTM data is used by county agencies to study drainage issues such as flooding and erosion; contour generation; slope and aspect; and hill shade images. This dataset was compiled to meet the American Society for Photogrammetry and Remote Sensing (ASPRS) Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy.
The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment.
This dataset does not take the place of an on-site survey for design, construction or regulatory purposes.
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.
The Digital Terrain Model (DTM) is a 3.28 foot pixel resolution raster in GeoTIFF format upsampled to 2.5 feet to preserve detail. This was created using the ground (class = 2) lidar points and incorporating the breaklines.
The DTMs were developed using LiDAR data. LiDAR is an acronym for LIght Detection And Ranging. Light detection and ranging is the science of using a laser to measure distances to specific points. A specially equipped airplane with positioning tools and LiDAR technology was used to measure the distance to the surface of the earth to determine ground elevation. The classified points were developed using data collected in April to May 2007. The LiDAR points, specialized software, and technology provide the ability to create a high precision three-dimensional digital elevation and/or terrain models (DEM/DTM). The use of LiDAR significantly reduces the cost for developing this information.
The DTMs are intended to correspond to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). DTM data is used by county agencies to study drainage issues such as flooding and erosion; contour generation; slope and aspect; and hill shade images. This dataset was compiled to meet the American Society for Photogrammetry and Remote Sensing (ASPRS) Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy.
The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment.
This dataset does not take the place of an on-site survey for design, construction or regulatory purposes.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Raster maps of water surface elevations (WSEs) that are output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016), and associated with flow stages (1.0m – 11.63m) at 0.25m interval (N=44). These flow stages were output from simulations coincident with the scenario that contains patches that are derived from locations of downed trees expanded by 2.0 m. At these patches, roughness is 50% higher than the roughness that is only associated with land cover informed by the Ecological Mapping Systems of Texas (Elliott et al. 2014, url: https://tpwd.texas.gov/landwater/land/programs/landscape-ecology/ems/) and calibrated to WSEs found in flood insurance studies (FEMA, 2014), which found an error of 20cm. Only WSE’s that have a depth above 20cm and is connected to the main channel are preserved. Brunner, G.W. (2016). HEC-RAS: River Analysis System, 2D Modeling User’s Manual Version 5.0. Rep., Hydrological Engineering Center – U.S. Army Corp of Engineers, Davis, CA. Elliott, L.F., Treuer-Kuehn, A., Blodgett, C.F., True. C.D., German, D. Diamond, D.D. (2014). Ecological System of Texas: 391 Mapped Types, edited by Texas Parks and Wildlife Department and Texas Water Development Board, Austin, TX. FEMA (2014). Flood Insurance Study: Refugio County, Texas and Incorporated Areas. Rep., 101 pp, Federal Emergency Management Agency, Denton, TX.
The Digital Terrain Model (DTM) is a 3.28 foot pixel resolution raster in GeoTIFF format upsampled to 2.5 feet to preserve detail. This was created using the ground (class = 2) lidar points and incorporating the breaklines.
The DTMs were developed using LiDAR data. LiDAR is an acronym for LIght Detection And Ranging. Light detection and ranging is the science of using a laser to measure distances to specific points. A specially equipped airplane with positioning tools and LiDAR technology was used to measure the distance to the surface of the earth to determine ground elevation. The classified points were developed using data collected in April to May 2007. The LiDAR points, specialized software, and technology provide the ability to create a high precision three-dimensional digital elevation and/or terrain models (DEM/DTM). The use of LiDAR significantly reduces the cost for developing this information.
The DTMs are intended to correspond to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). DTM data is used by county agencies to study drainage issues such as flooding and erosion; contour generation; slope and aspect; and hill shade images. This dataset was compiled to meet the American Society for Photogrammetry and Remote Sensing (ASPRS) Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy.
The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment.
This dataset does not take the place of an on-site survey for design, construction or regulatory purposes.
In the late 1880's and early 1900's the Mississippi River Commission (MRC) conducted an extensive high-resolution survey of the Mississippi River from Cairo, Illinois to Minneapolis, Minnesota. These data were published as a series of 89 survey maps and index. In the 1990's, the Upper Midwest Environmental Sciences Center (UMESC) in conjunction with the US Army Corps of Engineers Upper Mississippi River Restoration- Environmental Management Program -- Long Term Resource Monitoring Program element (LTRMP) for the Upper Mississippi River automated the maps' land cover/use symbology to create a turn of the century/pre-impoundment land cover/use data set. Other data on the maps that were not automated include; elevation contours, water depth soundings, proposed water control structures (e.g., wing dams), levees, benchmarks, railroads, and city streets.
USACE works with port authorities from across the United States to develop the statistical port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported. A Port Area is defined by the limits set by overarching legislative enactments of state, county, or city governments, or the corporate limits of a municipality. A port typically refers to a geographical area that includes operational activities related to maritime transport as well as acquisition, operation, and management of port infrastructure and property, such as might be associated with ownership, concession, construction approval, or policy decision-making authority. A Port Statistical Area (PSA) is a region with formally justified shared economic interests and collective reliance on infrastructure related to waterborne movements of commodities that is formally recognized by legislative enactments of state, county, or city governments. PSAs generally contain groups of county legislation for the sole purpose of statistical reporting. Through GIS mapping, legislative boundaries, and stakeholder collaboration, PSAs often serve as the primary unit for aggregating and reporting commerce statistics for broader geographical areas. Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes per EP 1130-2-520 are organized in SDSFIE 4.0.2 format.
The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.