Currently, the best source for nationwide LiDAR availability from public sources is the United States Interagency Elevation Inventory (USIEI). [1] The USIEI is a collaborative effort of NOAA and the U.S. Geological Survey, with contributions from the Federal Emergency Management Agency, the Natural Resources Conservation Service, the US Army Corps of Engineers, and the National Park Service. The inventory displays high-accuracy topographic and bathymetric data for the US, and it's intended to be a comprehensive, nationwide listing of known high-accuracy topographic data, including lidar. The inventory is updated semi-annually. Note, however, that getting access to the data is often less than straightforward in the current implementation.
History: In the United States, the United States Geological Survey (USGS) was the lead agency coordinating efforts across multiple agencies towards a National LIDAR Dataset. The first meeting, a National LIDAR Initiative Strategy Meeting, was held at USGS headquarters in Reston, Virginia in February 2007. In May 2008 a second meeting [2] was held, co-sponsored by USGS, NASA, and the AASG. In 2009, several sessions at the annual American Society for Photogrammetry and Remote Sensing meeting were devoted to this initiative.
The USGS website remains a central source for information about the national initiative, and it includes presentation materials from the various meetings about the subject. This site also discusses how the USGS incorporates LIDAR data into the National Elevation Dataset. In addition to USGS and NASA, numerous government agencies have indicated their interest in such a project, including National Geospatial-Intelligence Agency (NGA), the Federal Emergency Management Agency (FEMA), US Army Corps of Engineers, NOAA, and NRCS.
While there is consensus at a federal level supporting the creation of a National LIDAR Dataset, key aspects remain unresolved, including funding, data specifications, and the delineation of agency roles and responsibilities. While these issues are pending, the following states are among those moving forward with their own statewide LIDAR datasets:
State | Dataset Status | Source |
---|---|---|
Alaska | Partial | Alaska Elevation Inventory & Distribution |
Connecticut | Complete (med-res) | CT Lidar 10' DEM; see also this news |
Delaware | Complete | Delaware Spatial Data Framework |
Florida | Partial | FL Coastline Project |
Idaho | Partial | ID LiDAR Consortium |
Illinois | Partial | Illinois Height Modernization (ILHMP): LiDAR Data |
Indiana | Completed | Indiana Spatial Data Portal |
Iowa | Complete | IA GeoTree Lidar Mapping Project |
Kansas | Partial | Kansas GIS/DASC |
Kentucky | Partial | Metadata, Grid and 5ft DEMs |
Louisiana | ~Complete | Louisiana Atlas |
Maryland | Partial | MD iMap, MD DNR LiDAR, or NOAA |
Massachusetts | Partial - Boston area only | Available for purchase from MassGIS |
Minnesota | Complete | MN Lidar Status |
New Hampshire | Partial | GRANIT/Coastal data |
New Jersey | Partial | NJ Lidar Status |
New York | Partial | NYS Lidar Coverage, or NYS Orthos |
North Carolina | Complete | NC Floodmapping Program NCDOT Elevation Data |
North Dakota | Partial | ND LIDAR Dissemination Mapservice |
Ohio | Complete | Ohio Statewide Imagery Program |
Oregon | Partial | Oregon Lidar Consortium |
Pennsylvania | Complete | PAMAP Program LiDAR |
South Carolina | Partial | SC Lidar Consortium |
Tennessee | Partial | TN GIS Portal |
Texas | Partial | TNRIS/Texas |
Utah | Partial | UT Lidar datasets |
Vermont | Partial | VCGI |
Virginia | Partial | Virginia Lidar Site is Closed |
West Virginia | Partial | WV GIS Technical Center |
Wisconsin | In progress | WI: 14 counties |
Wyoming | In progress | Wyoming Statewide LIDAR Effort |
Regardless of the degree of state coordination, some counties choose to handle (and control) high resolution LiDAR acquisition and distribution on their own. Such counties include:
Lidar is a method for determining ranges by targeting an object with a laser and measuring the time for the reflected light to return to the receiver. It can also be used to make digital 3-D representations of areas on the earth's surface and ocean bottom by varying the wavelength of light. It has terrestrial, airborne, and mobile applications.
In modern mapping, a topographic map or topographic sheet is a type of map characterized by large-scale detail and quantitative representation of relief features, usually using contour lines, but historically using a variety of methods. Traditional definitions require a topographic map to show both natural and artificial features. A topographic survey is typically based upon a systematic observation and published as a map series, made up of two or more map sheets that combine to form the whole map. A topographic map series uses a common specification that includes the range of cartographic symbols employed, as well as a standard geodetic framework that defines the map projection, coordinate system, ellipsoid and geodetic datum. Official topographic maps also adopt a national grid referencing system.
A digital elevation model (DEM) is a 3D computer graphics representation of elevation data to represent terrain, commonly of a planet, moon, or asteroid. A "global DEM" refers to a discrete global grid. DEMs are used often in geographic information systems, and are the most common basis for digitally produced relief maps.
Topography is the study of the forms and features of land surfaces. The topography of an area could refer to the land forms and features themselves, or a description.
The Geographic Names Information System (GNIS) is a database of name and locative information about more than two million physical and cultural features throughout the United States and its territories, Antarctica, and the associated states of the Marshall Islands, Federated States of Micronesia, and Palau. It is a type of gazetteer. It was developed by the United States Geological Survey (USGS) in cooperation with the United States Board on Geographic Names (BGN) to promote the standardization of feature names.
The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth. It is a joint NASA / USGS program. On 23 July 1972, the Earth Resources Technology Satellite was launched. This was eventually renamed to Landsat 1 in 1975. The most recent, Landsat 9, was launched on 27 September 2021.
NASA WorldWind is an open-source virtual globe. According to the website, "WorldWind is an open source virtual globe API. WorldWind allows developers to quickly and easily create interactive visualizations of 3D globe, map and geographical information. Organizations around the world use WorldWind to monitor weather patterns, visualize cities and terrain, track vehicle movement, analyze geospatial data and educate humanity about the Earth." It was first developed by NASA in 2003 for use on personal computers and then further developed in concert with the open source community since 2004. As of 2017, a web-based version of WorldWind is available online. An Android version is also available.
The National Map is a collaborative effort of the United States Geological Survey (USGS) and other federal, state, and local agencies to improve and deliver topographic information for the United States. The purpose of the effort is to provide "...a seamless, continuously maintained set of public domain geographic base information that will serve as a foundation for integrating, sharing, and using other data easily and consistently".
The elevation of a geographic location is its height above or below a fixed reference point, most commonly a reference geoid, a mathematical model of the Earth's sea level as an equipotential gravitational surface . The term elevation is mainly used when referring to points on the Earth's surface, while altitude or geopotential height is used for points above the surface, such as an aircraft in flight or a spacecraft in orbit, and depth is used for points below the surface.
The Shuttle Radar Topography Mission (SRTM) is an international research effort that obtained digital elevation models on a near-global scale from 56°S to 60°N, to generate the most complete high-resolution digital topographic database of Earth prior to the release of the ASTER GDEM in 2009. SRTM consisted of a specially modified radar system that flew on board the Space Shuttle Endeavour during the 11-day STS-99 mission in February 2000. The radar system was based on the older Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR), previously used on the Shuttle in 1994. To acquire topographic data, the SRTM payload was outfitted with two radar antennas. One antenna was located in the Shuttle's payload bay, the other – a critical change from the SIR-C/X-SAR, allowing single-pass interferometry – on the end of a 60-meter (200-foot) mast that extended from the payload bay once the Shuttle was in space. The technique employed is known as interferometric synthetic aperture radar. Intermap Technologies was the prime contractor for processing the interferometric synthetic aperture radar data.
The National Flood Insurance Program (NFIP) is a program created by the Congress of the United States in 1968 through the National Flood Insurance Act of 1968. The NFIP has two purposes: to share the risk of flood losses through flood insurance and to reduce flood damages by restricting floodplain development. The program enables property owners in participating communities to purchase insurance protection, administered by the government, against losses from flooding, and requires flood insurance for all loans or lines of credit that are secured by existing buildings, manufactured homes, or buildings under construction, that are located in the Special Flood Hazard Area in a community that participates in the NFIP. U.S. Congress limits the availability of National Flood Insurance to communities that adopt adequate land use and control measures with effective enforcement provisions to reduce flood damages by restricting development in areas exposed to flooding.
OMB Circular A-16, revised August 19, 2002, is a Government circular that was created by the United States Office of Management and Budget (OMB) to provide guidance for federal agencies that create, maintain or use spatial data directly or indirectly through the establishment of the National Spatial Data Infrastructure (NSDI) and the Federal Geographic Data Committee (FGDC).
The American Society for Photogrammetry and Remote Sensing (ASPRS) is an American learned society devoted to photogrammetry and remote sensing. It is the United States' member organization of the International Society for Photogrammetry and Remote Sensing. Founded in 1934 as American Society of Photogrammetry and renamed in 1985, the ASPRS is a scientific association serving over 7,000 professional members around the world. As a professional body with oversight of specialists in the arts of imagery exploitation and photographic cartography. Its official journal is Photogrammetric Engineering & Remote Sensing (PE&RS), known as Photogrammetric Engineering between 1937 and 1975.
The National Elevation Dataset (NED) consists of high precision ground surface elevation data for the United States. It was maintained by the USGS and all the data is in the public domain. Since the 3D Elevation Program came online, the NED was subsumed into The National Map as one of its layers of information.
The United States Geological Survey, abbreviated USGS and formerly simply known as the Geological Survey, is a scientific agency of the United States government. The scientists of the USGS study the landscape of the United States, its natural resources, and the natural hazards that threaten it. The organization's work spans the disciplines of biology, geography, geology, and hydrology. The USGS is a fact-finding research organization with no regulatory responsibility.
Maryland is among the states in the US that is acquiring lidar data, complementing the National Lidar Dataset effort to acquire high resolution elevation data across the nation. The Maryland Department of Natural Resources coordinates with most counties in the state regarding acquisition specifications, post-processing quality control, and in some cases, distribution. However, in general each county initiates the lidar acquisition.
A national lidar dataset refers to a high-resolution lidar dataset comprising most—and ideally all—of a nation’s terrain. Datasets of this type typically meet specified quality standards and are publicly available for free in one or more uniform formats from government or academic sources. National LiDAR datasets are used primarily in LIDAR Contour Mapping, and also for forestry, urban and rural planning, recreational, environmental, engineering, and geological studies and planning, among others.
The Army Map Service (AMS) was the military cartographic agency of the United States Department of Defense from 1941 to 1968, subordinated to the United States Army Corps of Engineers. On September 1, 1968, the AMS was redesignated the U.S. Army Topographic Command (USATC) and continued as an independent organization until January 1, 1972, when it was merged into the new Defense Mapping Agency (DMA) and redesignated as the DMA Topographic Center (DMATC). On October 1, 1996, DMA was folded into the National Imagery and Mapping Agency (NIMA), which was redesignated as the National Geospatial-Intelligence Agency (NGA) in 2003.
Seafloor mapping, also called seafloor imaging, is the measurement, mapping, and imaging of water depth of the ocean or another given body of water. Bathymetric measurements are conducted with various methods, from depth sounding, sonar and Lidar techniques, to buoys and satellite altimetry. Various methods have advantages and disadvantages and the specific method used depends upon the scale of the area under study, financial means, desired measurement accuracy, and additional variables. Despite modern computer-based research, the ocean seabed in many locations is less measured than the topography of Mars.
Geological structure measurement by LiDAR technology is a remote sensing method applied in structural geology. It enables monitoring and characterisation of rock bodies. This method's typical use is to acquire high resolution structural and deformational data for identifying geological hazards risk, such as assessing rockfall risks or studying pre-earthquake deformation signs.
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