UPDATE: Data no longer available from this page. All non-working links have been removed (19/7/21) Users must follow instructions below from NASA to access data: SRTM data are also available globally at 1 arc second resolution (SRTMGL1.003) through the Data Pool (https://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/) or from EarthExplorer where it is listed as NASA SRTM3 SRTMGL1. Please sign in with NASA Earthdata Login Credentials to download data from the NASA LP DAAC Collections. These datasets require login on both NASA Earthdata and USGS EarthExplorer systems to access data. After you create your account, you will also need to “authorize” the LP DAAC Data Pool application. On the Profile page in your Earthdata account you will need to select My Applications. On that page make sure the LP DAAC Data Pool is listed. If it isn't then select Authorize More Applications. In the dialog box type in LP DAAC Data Pool and click Search For Applications. Select Approve when presented with the lpdaac_datapool. Keep everything checked but you can uncheck the Yes, I would like to be notified box. Select Authorize and the LP DAAC Data Pool should be added to your Approved Applications. You might benefit from using the AppEEARS tool. · o AppEEARS landing page: https://lpdaacsvc.cr.usgs.gov/appeears/ · o The users will need and https://urs.earthdata.nasa.gov/?_ga=2.148606453.334533939.1615325167-1213876668.1613754504. Click or tap if you trust this link.">Earthdata Login · o Getting started instructions can be found here: https://lpdaacsvc.cr.usgs.gov/appeears/help Previously available here: Digital Elevation Model of Ireland, from NASA's Shuttle Radar Topography Mission (SRTM), sampled at 3 arc second intervals in latitude & longitude (about every 90m) in heightmap (.HGT) format.''Latitudes & longitudes are referenced to WGS84, heights are in meters referenced to the WGS84/EGM96 geoid.'' Please see the linked pdf files for further documentation.''A QGIS project for the hgt files is also attached.

Earth Data Analysis Center (EDAC) at The University of New Mexico (UNM) develops, manages, and enhances the New Mexico Resource Geographic Information System (RGIS) Program and Clearinghouse. Nationally, NM RGIS is among the largest of state-based programs for digital geospatial data and information and continues to add to its data offerings, services, and technology. The RGIS Program mission is to develop and expand geographic information and use of GIS technology, creating a comprehensive GIS resource for state and local governments, educational institutions, nonprofit organizations, and private businesses; to promote geospatial information and GIS technology as primary analytical tools for decision makers and researchers; and to provide a central Clearinghouse to avoid duplication and improve information transfer efficiency. As a repository for digital geospatial data acquired from local and national public agencies and data created expressly for RGIS, the clearinghouse serves as a major hub in New Mexico’s network for inter-agency and intergovernmental coordination, data sharing, information transfer, and electronic communication. Data sets available for download include political and administrative boundaries, place names and locations, census data (current and historical), 30 years of digital orthophotography, 80 years of historic aerial photography, satellite imagery, elevation data, transportation data, wildfire boundaries and natural resource data.

This page contains links to all available GIS elevation datasets, services, and related applications.

The S_Fld_Haz_Ar table contains information about the flood hazards within the flood risk project area. These zones are used by FEMA to designate the SFHA and for insurance rating purposes. These data are the regulatory flood zones designated by FEMA.

GEBCO’s current gridded bathymetric data set, the GEBCO_2023 Grid, is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2023 Grid is based on. This release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica.

Metadata for active distributed temperature survey (DTS) experiments at Guelph, Ontario Canada. This data that this metadata refers to was taken as part of the PoroTomo project. The metadata includes information about status, location, elevation, units, and other metadata.

.csv file consisting of the water well temperature and water table elevation for wells in the State of Hawaii. Data source, Hawaii Commission of Water Resources Management.

he Essential Terrestrial Variables available on HydroTerre (~200TB at present) represents the fundamental national data necessary to run high resolution catchment models anywhere in the USA. We provide this data service so scientists, students and other research organizations can use these data for their own research and experimentation at a HUC 12 scale. At present, the following national datasets are provided (see Data References link for full references):

This GIS layer contains bathymetric elevation bands (derived from bathymetric contours) of selected freshwater lakes in Washington State. The majority of the bathymetric contours were digitized from maps contained in a series of seven documents: Reconnaissance Data on Lakes in Washington, Water-Supply Bulletin 43, Volume 1 through 7 by the United States Geological Survey in cooperation with the Washington State Department of Ecology. The exceptions are 1) Lake Chelan which was digitized in 2016 from the publication Morphometry of Lake Chelan (published in January 1987); 2) Lake Sammamish whose digital data was acquired from King County in 2013 and is derived from data collected during the publication of Development of a Three-Dimensional Hydrographic Model of Lake Sammamish (published in November 2008); and 3) Lake Crescent, whose digital bathymetric soundings were taken by a private party during 2013/2014 and provided to the Department of Ecology and were converted to contour lines in 2016.

This GIS layer contains bathymetric elevation bands (derived from bathymetric contours) of selected freshwater lakes in Washington State. The majority of the bathymetric contours were digitized from maps contained in a series of seven documents: Reconnissance Data on Lakes in Washington, Water-Supply Bulletin 43, Volume 1 through 7 by the United States Geological Survey in cooperation with the Washington State Department of Ecology. The exceptions are 1) Lake Chelan which was digitized in 2016 from the publiclication Morphometry of Lake Chelan (published in January 1987); 2) Lake Sammamish whose digital data was acquired from King County in 2013 and is derived from data collected during the publication of Development of a Three-Dimensional Hydrographic Model of Lake Sammamish (published in November 2008); and 3) Lake Crescent, whose digital bathymetric soundings were taken by a private party during 2013/2014 and provided to the Department of Ecology and were converted to contour lines in 2016.

This site is part of pilot effort at the US Department of Energy (DOE) - Office of NEPA Policy and Compliance to evaluate providing IT web services as a shared service, hosted on the cloud, and using only Free and Open Source Software (FOSS). The site is a collaborative data and document sharing platform, data is made publically available both as a downloadable file in multiple Open Standard formats or as a web service using Open Geospatial Construtium (OGC) Open Standard services (WMS/WFS/WCS).

This dataset is part of the common observation in the centralized repository for public access, also known as the Common Observatory Repository (CORe), of the USDA ARS Long-Term Agro-ecosystem Research (LTAR) network. This is part of the National Program 216 (NP#216): Agricultural System and Competitiveness and Sustainability. Also The National Wind Erosion Research Network was established in 2014 as a collaborative effort led by the US Department of Agriculture (USDA) Long Term Agro-Ecosystem Research (LTAR) network and the Bureau of Land Management (BLM). The research domain incorporates the diverse soils and vegetation communities in the rangelands and croplands of the western United States, with sites located in New Mexico, Texas, Oklahoma, Arizona, California, Colorado, North Dakota, Utah, Idaho and Washington. We have a tower that collects data for the North Dakota Agricultural Weather Network. Our site is part of the NEON project with a tower that is designed to collect and provide open data that characterize and quantify complex, rapidly changing ecological processes across the US. We have a National Center for Environmental Information (NOAA) tower that collects daily summaries of weather data. A Natural Resource Conservation (NRCS) National Water and Climate tower that collects snow and water data.

This FEMA layer is used by NJDEP in an ArcGIS Online web mapping application. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.

This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is in ArcGIS map package format.

Ohio Digital Elevation Models (DEMs)

Ohio Digital Ortho Quarter Quads (DOQQs)

Ohio Digital Raster Graphs (DRGs)

Ohio USGS Digital Line Graphs (DLGs)

The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater, geomechanical models, gravity surveys, magnetics, resistivity, magnetotellurics (MT), rock physics, stress, the geologic setting, and supporting documentation, including several papers. Also included are 3D models (Petrel and Jewelsuite) of the proposed site. Data for wells INEL-1, WO-2, and USGS-142 have been included as links to separate data collections. These data have been assembled by the Snake River Geothermal Consortium (SRGC), a team of collaborators that includes members from national laboratories, universities, industry, and federal agencies, lead by the Idaho National Laboratory (INL). Other contributors include the National Renewable Energy Laboratory (NREL), Lawrence Livermore National Laboratory (LLNL), the Center for Advanced Energy Studies (CEAS), the University of Idaho, Idaho State University, Boise State University, University of Wyoming, University of Oklahoma, Energy and Geoscience Institute-University of Utah, US Geothermal, Baker Hughes Campbell Scientific Inc., Chena Power, US Geological Survey (USGS), Idaho Department of Water Resources, Idaho Geological Survey, and Mink GeoHydro.

From the site: "Digital elevation model (DEM) data are arrays of regularly spaced elevation values referenced horizontally either to a Universal Transverse Mercator (UTM) projection or to a geographic coordinate system. The grid cells are spaced at regular intervals along south to north profiles that are ordered from west to east. The U.S. Geological Survey (USGS) produces five primary types of elevation data: 7.5-minute DEM, 30-minute DEM, 1-degree DEM, 7.5-minute Alaska DEM, and 15-minute Alaska DEM."

The U.S. Geological Survey (USGS) National Geospatial Program is developing the 3D Elevation Program (3DEP) 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. The primary goal of 3DEP is to systematically collect 3D elevation data in the form of light detection and ranging (lidar) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. Interferometric synthetic aperture radar (ifsar) data will be acquired for Alaska, where cloud cover and remote locations preclude the use of lidar in much of the State. The 3DEP initiative is based on the results of the National Enhanced Elevation Assessment that documented more than 600 business uses across 34 Federal agencies, all 50 States, selected local government and Tribal offices, and private and nonprofit organizations. A fully funded and implemented 3DEP would provide more than $690 million annually in new benefits to government entities, the private sector, and citizens.

This is a link to the Automated Geographic Reference Center (AGRC) that houses GIS data for the state of Utah. This includes geoscience, cadastre, elevation and terrain, digital aerial photography, roads, aquifer data, etc. Several GIS datasets used in the Utah FORGE project originated from this site.

The land base of the Pacific Northwest includes large areas that could support hardwoods or a hardwood component. Often, however, site index, the most commonly used measure of a site's potential productivity, is not available for red alder as other species occupy the site. In order to make site-specific management decisions, the suitability for red alder production can be assessed by geographic and topographic position, soil moisture and aeration during the growing season, and soil fertility and physical condition (Harrington 1986). The difficulty of weighing these physical factors to determine site suitability appears to be a major impediment to the establishment of red alder plantations. Additionally, forest managers are lacking a planning tool that would consider red alder in the landscape for long term management plans. To assist forest managers in their planning and site selection efforts, we developed a GIS-based Red Alder Site Suitability Model based on physical criteria identified by Harrington (1986) as most influential on the productivity of red alder. The major components of the model are elevation, topographic position, slope, aspect, soil type, and soil depth. The model was implemented in a GIS (ESRI ArcPro v.3.0) raster environment with topographic position, slope, aspect, and elevation derived from a 10-meter digital elevation model (DEM), using lidar data where available. Topographic position class of valley, lower slope, flat slope, middle slope, upper slope, or ridgetop was derived from the topographic position index (TPI) using standard deviation thresholds as described by Weiss (2001). The soil texture and depth were derived from Washington DNR’s corporate soil data layer. Each pixel was then classified and assigned one of four suitability categories: High, Medium, Low, and No Potential. Because of the level of spatial detail of the model, forest managers can assess the potential of red alder management on any given site, such as planned timber harvest. Additionally, the model can be used at a larger scale, i.e. planning for future product diversification in a watershed.The model has been cursorily field-verified on existing red alder plantations and compared with locations and site index of natural red alder stands for DNR's forest inventory system. Initial results indicate that the model is accurate in identifying sites with potential for intensive red alder management. Local knowledge will still be an important factor in the application of the model. Frost pockets or areas susceptible to other physical damage such as ice damage (i.e. within the east wind drafts of the Columbia River Gorge) are not identified in by this model. The usefulness of this model will be determined by the experience of the field staff over time. References:Harrington, Constance A. 1986. A method of site quality evaluation for red alder. Gen. Tech. Rep. PNW-GTR-192. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 22 p. https://doi.org/10.2737/PNW-GTR-192Weiss, A. 2001. Topographic position and landforms analysis. In Poster presentation, ESRI user conference, San Diego, CA (Vol. 200). http://www.jennessent.com/downloads/tpi-poster-tnc_18x22.pdf

The National Elevation Dataset (NED) is a new raster product assembled by the U.S. Geological Survey. The NED is a seamless mosaic of best-available elevation data with a consistent datum, elevation unit, and projection. Data corrections were made in the NED assembly process to minimize artifacts, perform edge matching, and fill sliver areas of missing data. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. Older DEM's produced by methods that are now obsolete are filtered during the NED assembly process to minimize artifacts that are commonly found in data produced by these methods. NED processing also includes steps to adjust values where adjacent DEM's do not match well, and to fill sliver areas of missing data between DEM's. These processing steps ensure that NED has no void areas and artificial discontinuities have been minimized. In cases where 7.5-minute DEM's have 10-meter resolution, the original source data will be at a higher resolution than the NED. In 1999 the Canaan Valley Institute and WVGISTC published the ERDAS IMAGINE mosaic. In 2002 the WV DEP published an ArcGrid mosaic that eliminated the noise artifact associated with hillshaded images. The WV DEP elevation grid was merged into a single block, reprojected using bilinear interpolation to a 30M cell size and cropped using a state boundary grid that was buffered outward 1km. The WV DEP elevation grid data was then rounded to the nearest integer value to reduce the file size.

The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consists of an array of elevations for ground positions at regularly spaced 10-meter intervals. DEMs can be used as source data for digital orthophotos, and for earth science analysis as layers in geographic information systems. DEMs can also serve as tools for volumetric analysis, for site location of towers, or for drainage basin delineation. Originator is the U.S. Geological Survey. These Level 2 DEMs were generated from (1) 1:24,000-scale hypsography digital line graph (DLG) data or from (2) vector data derived from scanned raster files of USGS 1:24.000-scale separates.

These DEMs consist of an array of elevations for ground positions at regularly spaced 3-meter intervals. They were created from mass points and breaklines collected as part of the Statewide Addressing and Mapping Board's mission. DEMs based on 24K scale quadrangle boundaries are available for download from the State Data Clearinghouse or offsite from the USGS Seamless Data Distribution System, 1/9th Arc Second, Natonal Elevation Dataset. The Statewide Addressing and Mapping Board (SAMB) contracted BAE SYSTEMS ADR to create a stereo photogrammetric-derived DTM from statewide spring 2003 aerial photography to support vertical elevation accuracies of +- 10 feet. The SAMB required its Project Management Team (Michael Baker Jr, Inc.) to perform independent quality assurance in order to certify final product acceptance. Baker used NSSDA automated and visual tests of attribute accuracy, logical consistency, completeness, and adherence to SAMB project data specifications. Using mass points and breaklines provided by the SAMB, the West Virginia GIS Technical Center worked in conjunction with the United States Geologic Survey to create raster elevation data at 3 meter (1/9th arc second) resolution compliant with National Elevation Dataset standards. Detailed information about the conversion process can be found HERE.

A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.