This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

This is a tiled collection of the 3D Elevation Program (3DEP) and is 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless ...

This is a tiled collection of images with 1m pixel size from the 3D Elevation Program (3DEP). The 3DEP data holdings serve as the elevation layer of The National Map and provide foundational elevation information for earth science studies and mapping applications in the United States. The elevations in this DEM represent the topographic bare-earth surface. USGS standard 1m pixel size DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of images with 1m pixel size or higher resolution. 1m pixel size DEM surfaces are seamless within collection projects but not necessarily seamless across projects. The spatial reference used for tiles of the 1m pixel size DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM zones, it is delivered in both zones. In this and other cases of image overlaps, elevation values might be slightly different in different images covering the same area. The 1m pixel size DEM is the highest resolution standard DEM offered in the 3DEP product suite. The 10m 3DEP dataset is available at USGS_3DEP_10m.

This dataset provides line work of fault, fold, and unknown scarps mapped along the margins of Crowleys Ridge in the New Madrid seismic zone, Arkansas and Missouri.

The maps in this data release show active landslide structures in three areas along the north flank of the Slumgullion landslide. After the entire active part of the landslide was mapped in 1992 and 1993 (Fleming and others, 1999), we remapped these three smaller areas at roughly decadal intervals. Our goal was to learn what structures might persist and how they might change as heterogeneous landslide material of variable thickness passed through the areas. Together with the original 1999 map, these maps provide snapshots of the deformational features at converging and diverging margins of the landslide at four periods in about a 30-year time span (1992-2023). During summer months in 2002, 2013, and 2023, we conducted 1:1000-scale mapping using a traditional technique of manually drawing lines on topographic base maps to represent the structures we observed in the field. There was generally a lapse of two or more years between acquisition of the topographic base data and the field mapping. Meters of landslide displacement during the lapse resulted in a mismatch between the topographic map and topography on the active landslide at the time of our fieldwork. When drawing features on the topographic base, we referenced fixed topographic features directly north of the active landslide’s strike-slip boundary to compensate for the mismatch. The data are recorded in Geographic Information System (GIS) files that contain the line styles used to portray and distinguish the different landslide structures. The files record the shapes and positions of the mapped landslide structures. An index of line styles used to portray mapped structures is shown in Figure 1. Topographic base maps used for the 2002, 2013, and 2023 structural maps were from 2000, 2011, and 2018, respectively. One-meter Digital Elevation Models (DEMs), contours, and shaded-relief maps from these three years are included in this data release. The 2000 DEM was created from 2 m contours of the landslide on July 31, 2000, as originally published in Messerich and Coe (2003). The 2011 DEM was created by the authors using a structure-from-motion photogrammetric method and 1:6000 scale aerial photos acquired on September 23, 2011. The 2018 DEM is lidar data collected between October 5, 2018 and September 24, 2019, with the original data available from the U.S. Geological Survey 3DEP Lidar Explorer (U.S. Geological Survey, 2024). The contour interval used for the 2000 DEM is 2 m. The contour interval used for the 2011 and 2018 DEM is 1 m. All GIS data are projected in the Universal Transverse Mercator (UTM) zone 13N cartesian coordinate system. Portable Document Format (PDF) files of the landslide structure maps of each area in 2002, 2013, and 2023, are also provided. Figure 1. Line and polygon types used for landslide structures and features mapped at the Slumgullion landslide. References Fleming, R.W., Baum, R.L., and Giardino, Marco, 1999, Map and description of the active part of the Slumgullion Landslide, Hinsdale County, Colorado: U.S. Geological Survey Geologic Investigations Series Map I-2672 , scale 1:1,000, https://doi.org/10.3133/i2672 Messerich, J.A. and Coe, J.A., 2003, Topographic map of the active part of the Slumgullion landslide on July 31, 2000, Hinsdale County, Colorado: U.S. Geological Survey Open-File Report 03-144, 7 p., 1:1,000 scale map. http://pubs.usgs.gov/of/2003/ofr-03-144/ U.S. Geological Survey, 2024, 3DEP Lidar Explorer, data available at: http://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/1m/Projects/CO_Southwest_NRCS_2018_D18

Dataset Description of Original Data: A one-meter (1m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The area of Interest (AOI) is approximately 2,702 square miles in southern California including portions of San Bernardino, Kern and Clark Counties. The files are delivered in tile format (1500m by 1500m), The rasters are...

This dataset is a digital elevation model (DEM) comprising topographic and bathymetric data for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). The DEM was developed from elevation data collected by several different methods. Bathymetric data in the river channel were collected in October 2021 with a single beam sonar and Acoustic Current Doppler Profiler operated along 2 longitudinal transects and 48 cross-sectional transects, respectively. River bank topographic data were collected with a backpack-mounted terrestrial lidar unit concurrently with the bathymetric data. Lidar points were classified by a combination of automated and manual methods. Floodplain elevations were obtained from aerial lidar data collected in 2015. All ground points from the respective datasets were projected to the same coordinate system and used to generate a DEM with 1m resolution covering the channel bed, banks, and floodplain, and valley walls through the reference reach.

This data set was retrieved from the USGS rockyftp website and processed to NOAA/OCM's Digital Coast.

Product: These are Digital Elevation Model (DEM) data for Puerto Rico and its surround islands as part of the required deliverables for the PR USVI 2018 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster...

USGS Contract: G10PC00026 Task Order Number: G10PD02126 LiDAR was collected at a 2.0 meter nominal post spacing (2.0m GSD) for approximately 329 square miles of Baldwin County, Alabama, while no snow was on the ground and rivers were at or below normal levels. Project was divided into two separate AOIs, Baldwin West and Baldwin East. Project meets U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 13. LAS Classifications: Class 1: Unclassified Class 2: Bare Earth Ground Class 5: High Vegetation Class 7: Noise (Low points) Class 9: Water Class 10: Ignored Ground (within 1m of breakline) Class 12: Overlap Class 13: Witheld

Digital Terrain Model - 1m resolution. The dataset contains the 1m Digital Terrain Model for the District of Columbia. These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.

A bare earth elevation and bathymetry DEM to be used for sea level rise modeling and general visualization. All elevation and bathymetry inputs were converted to a common horizontal and vertical coordinate systems prior to processing. All points were input into and ArcGIS Terrain dataset for triangular linear interpolation and creation of the final 1m resolution DEM. If conversion was required for the vertical coordinate system, common with sounding points referenced to Mean Low Water (MLW) or Mean Lower-Low Water (MLLW), the NOAA vertical datum transformation tool (VDatum) (https://vdatum.noaa.gov/) was used to transform the values from a tidal datum to a geodetic datum.Horizontal Coordinate System: UTM 19N NAD83, units meters (EPSG:26919)Vertical Coordinate System: NAVD88, units meters, positive up (EPSG:5703)Cell spacing: 1 meterInput Datasets:TOPOGRAPHY2021 USGS Lidar: Central Eastern MassachusettsThe Central Eastern Massachusetts Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program LIDAR Base Specification 2020 Revision A. The data was developed based on the NAD83(2011) horizontal datum and the NAVD88 Geoid 18 vertical datum.Short Citation: OCM Partners, 2025: 2021 USGS Lidar: Central Eastern Massachusetts, https://www.fisheries.noaa.gov/inport/item/69417. BATHYMETRY2015 NOAA NGS Topobathy Lidar: Buzzards Bay Block2 (MA)These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20151104 - 20151109. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), bathymetric point (24), sensor noise refracted (26), topobathy water surface (27), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.Short Citation: National Geodetic Survey, 2025: 2015 NOAA NGS Topobathy Lidar: Buzzards Bay Block2 (MA), https://www.fisheries.noaa.gov/inport/item/48191. Continuously Updated Digital Elevation Model (CUDEM) - 1/9 Arc-Second Resolution Bathymetric-Topographic TilesNOAA's National Centers for Environmental Information (NCEI) is developing a suite of digital elevation models (DEMs) for the U.S. coast to support a variety of NOAA missions, including improved inundation modeling and mapping, habitat characterization, and visualization of Earth's surface. The DEMs are being developed according to a 0.25 degree tiling scheme. The spatial resolution of the tiles "telescopes" from the coastal zone to the deep ocean floor at 1/9, 1/3, and 3 arc-second grid resolution. Only the 1/9 arc-second DEM tiles integrate both bathymetric and topographic data; all other resolutions map bathymetry only. The tiling of the DEMs facilitates targeted, rapid updates as new coastal and marine elevation data are acquired and become available.Citation: Amante, C.J.; Love, M.; Carignan, K.; Sutherland, M.G.; MacFerrin, M.; Lim, E. Continuously Updated Digital Elevation Models (CUDEMs) to Support Coastal Inundation Modeling. Remote Sens. 2023, 15, 1702. https://doi.org/10.3390/rs15061702 2024 US Army Corps of Engineers District: CENAE, New Bedford Harbor Condition Survey

Intensity Inage - 1m resolution. The dataset contains the 1m Intensity Image for the District of Columbia. These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.

Mississippi Coastal QL2 Lidar with 3DEP Extension Lidar 0.7m NPS Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G15PD00091 Woolpert Order No. 75157 CONTRACTOR: Woolpert, Inc. This metadata record describes the 1m bare earth Digital Elevation Models (DEMs)for the following counties in Mississippi: Copiah, Lawrence, Lincoln, Pike, and Simpson....

Topo-bathy lidar acquisition and processing in the Mariana Islands covering Aguijan, Rota, Saipan, and Tinian. This data is the integrated topo-bathy DEM derived from classes 2, 40, and 43, delivered in 500m x 500m tiles as 1m GeoTIFFs with no data values set to -999999 and bridges removed. Not hydro-flattened.

In addition to these topobathy Digital Elevation Model (DEM) data, the lidar point...

Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.

Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north. These Canopy Density and Canopy Structure Metrics were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL. Each grid cell was portioned into 4 groups, (1) forest area, (2) open area, (3) forest edginess with a southern aspect, and (4) forest edginess with a northern aspect. The percentage of each group was quantified for each 100 m grid and values of canopy metrics for each group at each 100-meter grid cell were defined. These values include the mean, median standard deviation, 25 percent quantile, 75% quantile, and skewness of the 1m data for the 100m grid.

Landing page for datasets associated with a study of topographic change in Sleeping Bear Dunes National Lakeshore. 3 datasets are published on this page - a 1955 digital elevation model (DEM) created from historical aerial photos, a 1977 DEM created from historical aerial photos, and a topographic change DEM of Difference (DoD) dataset describing the elevation difference between 1955 and the 1m lidar-based DEM available for Leelanau, Benzie, and Grand Traverse Counties (available from the National Map).

These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight

This raster dataset describes terrain changes that occurred between 1955 and 2015 in Sleeping Bear Dunes National Lakeshore. The DoD values may be used to highlight landslide-prone areas and sand dune movements, as well as to identify other topographic changes caused by anthropogenic activities. The value of each 1 square meter gridcell in this raster indicates the elevation change that occurred in SBDNL between 1955 and 2015. The 1955 DEM was produced from historical aerial imagery acquired on April 1, 1955 at a flying height of 8,500 ft (1:17,000). Structure from motion (SfM) analysis of this imagery produced a 0.88 m DEM, which was edited and resampled to 1 m to match the 1m DEM produced from the 2015 lidar data. This raster dataset is the DEM of Difference (DoD) produced by subtracting the 1955 DEM from the 2015 DEM; positive values indicate an increase in terrain height and negative values indicate a decrease in terrain height. Error analysis of the 1955 and 2015 DEMs indicat ...

(Link to Metadata) This metadata applies to the following collection area(s): Eastern VT 2014 0.7m and Hydro Enforced Digital Elevation Model (DEMHE) dataset. This metadata complies with the VT Geodata Portal format and applies to thematic layers with the same resolution (RESCLASS), e.g., 0p7m, 1m etc., and may include multiple data "collection" efforts. For the original vendor metadata containing specific details on each collections "point cloud" such as flight dates, nominal pulse spacing and RMSEz etc., see the "All Available Lidar" Product page: (http://vcgi.vermont.gov/warehouse/products/ALL-LDR_MIX_LIDAR_STATE_ALL). Available DEMs vary by collection and can include the following 'hydro treatment' DEMs: 1) Elevation*_DEM_*: ("pure" Bare Earth) - no treatments, i.e., a bare ground surface without objects like vegetation and buildings; 2) Elevation*_DEMHF_*: (DEM Hydro-Flattened)- Cartographic/Aesthetic enhancement of (topographic) surface by removal of Lidar artifacts in water. Constant elevation for waterbodies and suitable for contouring. Building voids remain due to cost; and 3) Elevation*_DEMHE_*: (DEM Hydro-Enforced): A (hydrologic) surface with drain connectivity used by engineers in Hydraulic and Hydrologic (H&H) modeling. NOT for traditional mapping (contours, etc.). Like DEM_HF but added Single Line Breaklines: Pipelines, Culverts, Underground Streams, etc. For an overview of the "Vermont Lidar Initiative" please see "http://vcgi.vermont.gov/lidar". For an overview on the various "hydro treatments" see the USGS powerpoint "Hydro Treatments of LiDAR-Derived DEMs" under the RESOURCES section of the Lidar Initiative homepage and for complete details see the appropriate section of the "Lidar Base Specification" (https://pubs.usgs.gov/tm/11b4/pdf/tm11-B4.pdf).