This World Elevation TopoBathy service combines topography (land elevation) and bathymetry (water depths) from various authoritative sources from across the globe. Heights are orthometric (sea level = 0), and bathymetric values are negative downward from sea level. The source data of land elevation in this service is same as in the Terrain layer. When possible, the water areas are represented by the best available bathymetry. Height/Depth units: MetersUpdate Frequency: QuarterlyCoverage: World/GlobalData Sources: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see Elevation Coverage Map.What can you do with this layer?Use for Visualization: This layer is generally not optimal for direct visualization. By default, 32 bit floating point values are returned, resulting in higher bandwidth requirements. Therefore, usage should be limited to applications requiring elevation data values. Alternatively, client applications can select additional functions, applied on the server, that return rendered data. For visualizations such as hillshade or elevation tinted hillshade, consider using the appropriate server-side function defined on this service. Use for Analysis: Yes. This layer provides data as floating point elevation values suitable for use in analysis. There is a limit of 5000 rows x 5000 columns. NOTE: This image services combine data from different sources and resample the data dynamically to the requested projection, extent and pixel size. For analyses using ArcGIS Desktop, it is recommended to filter a dataset, specify the projection, extent and cell size using the Make Image Server Layer geoprocessing tool. The extent is factor of cell size and rows/columns limit. e.g. if cell size is 10 m, the max extent for analysis would be less than 50,000 m x 50,000 m.Server Functions: This layer has server functions defined for the following elevation derivatives. In ArcGIS Pro, server function can be invoked from Layer Properties - Processing Templates.

Slope Degrees Slope Percentage Hillshade Multi-Directional Hillshade Elevation Tinted HillshadeSlope MapMosaic Method: This image service uses a default mosaic method of "By Attribute”, using Field 'Best' and target of 0. Each of the rasters has been attributed with ‘Best’ field value that is generally a function of the pixel size such that higher resolution datasets are displayed at higher priority. Other mosaic methods can be set, but care should be taken as the order of the rasters may change. Where required, queries can also be set to display only specific datasets such as only NED or the lock raster mosaic rule used to lock to a specific dataset.Accuracy: Accuracy will vary as a function of location and data source. Please refer to the metadata available in the layer, and follow the links to the original sources for further details. An estimate of CE90 and LE90 is included as attributes, where available.This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single request. This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks. Disclaimer: Bathymetry data sources are not to be used for navigation/safety at sea.

These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is no...

NOAA Florence Topobathymetric Lidar data were collected by NV5 Geospatial (NV5) in 9 blocks from 20191126 - 20200825 using the follow sensors:

Block01 -Riegl VQ880GII system Block02 - Riegl VQ-880-G and Riegl VQ-880-GII systems Block03 - Riegl VQ880G, Riegl VQ880GII, and Riegl VQ880GH systems Block04 - Riegl VQ880GII and Leica Chiroptera 4x systems Block05 - Riegl VQ880GII, Leica Chiroptera...

The TopoBathy 3D layer provides a global seamless topography (land elevation) and bathymetry (water depths) surface to use in ArcGIS 3D applications.What can you do with this layer?This layer is meant to be used as a ground in ArcGIS Online Web Scenes, ArcGIS Earth, and ArcGIS Pro to help visualize your maps and data in 3D.How do I use this layer?In the ArcGIS Online Web Scene Viewer:Sign-in with ArcGIS Online accountOn the Designer toolbar, click Add Layers Click Browse layers and choose Living Atlas.Search for TopoBathy 3DAdd TopoBathy 3D (Elevation Layer)The TopoBathy 3D will get added under Ground. Change basemap to OceansOptionally, add any other operational layers to visualize in 3DIn ArcGIS Pro:Ensure you are logged in with an ArcGIS Online accountOpen a Global SceneOn the Map tab, click Add Data > Elevation Source LayerUnder Portal, click Living Atlas and search for TopoBathy 3DSelect TopoBathy 3D (Elevation Layer) and click OKThe TopoBathy 3D will get added under GroundOptionally, remove other elevation layers from ground and choose the desired basemapDataset Coverage To see the coverage and sources of various datasets comprising this elevation layer, view the Elevation Coverage Map. Additionally, this layer uses data from Maxar’s Precision 3D Digital Terrain Models for parts of the globe.

NOAA Chesapeake Bay MD1902 and MD1903 Topobathymetric lidar data were collected by NV5 Geospatial (NV5) using a Leica Chiroptera 4x system. The MD1903 acquisition spanned from 20191109-20191115 in 5 missions. The MD1902 acquisition spanned from 20191109-20191116 in 6 missions. The datasets include topobathymetric data in LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 2 - ground 7 - noise 40 - bathymetric bottom or submerged topography 41 - water surface 43 - submerged feature 45 - water column 46 - overlap bathy bottom - temporally different from a separate lift 71 - unclassified associated with areas of overlap bathy bottom/temporal bathymetric differences 72 - ground associated with areas of overlap bathy bottom/temporal bathymetric differences 81 - water surface associated with areas of overlap bathy bottom/temporal bathymetric differences 85 - water column associated with areas of overlap bathy bottom/temporal bathymetric differences 1 Overlap - edge clip 1 Withheld- green sensor returns within topographic areas 42 Synthetic - synthetic water surface These data sets also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered NOAA Chesapeake Bay MD1902 project area covers approximately 260.195 square kilometers in an area encompassing Severn River to Rhode River near Annapolis, Maryland. LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid to geoidal height (Geoid12b) and used to create 23 - 5,000 m x 5,000 m topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. The 100 meter buffered NOAA Chesapeake Bay MD1903 project area covers approximately 273.518 square kilometers in an area encompassing West River to Dares Beach near Annapolis, Maryland. LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid to geoidal height (Geoid12b) and used to create 18 - 5,000m x 5,000 m topobathymetric DEMs in GeoTIFF format with 1m pixel resolution.

Product: This topobathy lidar dataset consists of processed classified LAS 1.4 files used to create intensity images and topobathymetric DEMs as necessary. Three project areas for this dataset are: 1. Lansing Shoals - 4273 individual 500 m x 500 m tiles 2. Green Bay - 1837 individual 500 m x 500 m tiles 3. Lake Huron - 2871 individual 500 m x 500 m tiles Geographic Extent: The Michigan coastline along parts of northern Lake Michigan and northern Lake Huron, covering approximately 627 square miles. 1. Lansing Shoals portion (Lake Michigan) of the AOI covers approximately 311 square miles 2. Green Bay portion (Lake Michigan) of the AOI covers approximately 116 square miles 3, Lake Huron portion of the AOI covers approximately 200 square miles Dataset Description: The Great Lakes Topobathymetric Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 1 meter for bathymetric areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM zones 16N and 17N, meters and vertical datum of NAVD88 (Geoid 18), meters. Ground Conditions: 1. Lansing Shoals - Lidar was collected for the Lansing Shoals region from September 14, 2023 to September 25, 2023, while no snow was on the ground and rivers were at or below normal levels Green Bay - Lidar was collected for the Green Bay region from September 28, 2023 to October 5, 2023, while no snow was on the ground and rivers were at or below normal levels. 3, Lake Huron - Lidar was collected for the Northern Lake Huron region from September 16, 2023 to October 4, 2023, while no snow was on the ground and rivers were at or below normal levels.

To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Northern California Coast. High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science applica...

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data were acquired from 20170320-20170405. The data includes topobathy data in an LAS 1.2 format file with possible classifications as 1 - unclassified, 2 - ground, 7 - topo noise, 26 - bathymetric bottom or submerged topography, 27 - water surface, 29 - submerged object. This data set may also include lidar intensity values and encoded RGB image values.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Leica Chiroptera 4X system. The data were acquired from 20220605 - 20220723. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), noise (7), water surface (topographic sensor) (9), high noise (18), bathymetric po...

This project merged recently collected topographic, bathymetric, and acoustic elevation data along the entire California coastline from approximately the 10 meter elevation contour out to California's 3 mile state water's boundary. This metadata record describes the Digital Elevation Model (DEM) created from the lidar and multibeam data. The DEM has a 1m cell size. Topographic LiDAR: The topographic lidar data used in this merged project was the 2009-2011 CA Coastal Conservancy Lidar Project. The data were collected between October 2009 and August 2011. This collection was a joint effort by the NOAA Office for Coastal Management (OCM); the California State Coastal Conservancy (SCC) Ocean Protection Council (OPC); Scripps Institution of Oceanography; and the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The data coverage extends landward 500 m from the shoreline, along the entire California coastline. The LAS classifications are as follows: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10- Mudflats, 12-Overlap. The LAS points were manually re-classified from water and unclassified to ground in offshore areas where necessary. Bathymetric LiDAR: The bathymetric lidar data used in this merged project was 2009-2010 U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Center of Expertise (JALBTCX) lidar, provided by JALBTCX. The data were collected for the California Coastal Mapping Project (CCMP). The original data were in ASCII format and were converted to LAS v1.2. The LAS data were classified as follows: 21-Non-submerged Bathymetry, 22-Bathymetry, 23-Ignored Submerged Bathymetry/Overlap. Multibeam Acoustic Data: The acoustic data data used in this merged project were provided by the California Seafloor Mapping Program (CSMP) Ocean Protection Council and NOAA's National Geophysical Data Center (NGDC). The original data were in ASCII format and were converted to LAS v1.2. NOAA's VDatum software was used to vertically transform soundings from mean lower low water (MLLW) tidal datum to NAVD88 orthometric datum where necessary. The LAS data were classified as follows: 25-Submerged Acoustic, 26-Ignored Submerged Acoustic/Overlap. Upon receipt of the data, the NOAA Office for Coastal Management (OCM) converted some of the classifications for data storage and Digital Coast provisioning purposes. The following are the classifications of data available from the NOAA Digital Coast: 1 - Unclassified, 2 - Ground, 7 - Low point (noise), 9 - Water, 11 - Bathymetry, 12 - Overlap, 13 - Submerged Acoustic, 14 - Non-Submerged Bathymetry, 15 - Ignored Submerged Bathymetry/Overlap, 16 - Ignored Submerged Acoustic/Overlap

Morro Bay 2022 topobathymetric Lidar area data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 data acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 1O - edge clip 2 - ground 7W - low noise 9 - NIR water surface 18W - high noise 40 - bathymetric bottom or submerged topography 41 - Green water surface 43 - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, even though exposed at low tide) 45 - water column This data set also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles clipped to the project boundary. The final classified Lidar data were used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 96 - 500 m x 500 m DEM tiles clipped to the project boundary. One tile (MRR22_088) did not have any valid bathymetric bottom or ground points and so it did not produce a valid dem. This Project was completed in partnership between NOAA OCM and the NEP. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2018 United States Army Corps of Engineers (USACE) National Coastal Mapping Project (NCMP) Post-Florence Topobathy Lidar: Southeast Coast lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

description: These files contain rasterized topobathy lidar elevations collected after Hurricane Irma. In an effort to provide data as soon as possible, JALBTCX will be sending rolling deliveries of data to the NOAA Office for Coastal Management for the Digital Coast. The total collection area will include the east coast of Florida, the Florida Keys, and Collier County. The data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. In addition to the these topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.; abstract: These files contain rasterized topobathy lidar elevations collected after Hurricane Irma. In an effort to provide data as soon as possible, JALBTCX will be sending rolling deliveries of data to the NOAA Office for Coastal Management for the Digital Coast. The total collection area will include the east coast of Florida, the Florida Keys, and Collier County. The data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. In addition to the these topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

NOAA Finger Lakes Topobathymetric lidar project data were collected by National Oceanic and Atmospheric Administration (NOAA) using a Riegl VQ-880-G sensor system. The NOAA Finger Lakes Topobathymetric project lidar acquisition was flown between 20190913 and 20191109 in 23 missions. The NOAA Finger Lakes topobathymetric lidar project dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 2 - ground 7 Withheld -low noise 18 Withheld - high noise 40 - bathymetric bottom or submerged topography 41 - water surface 43 - submerged feature 45 - water column 64 - Submerged Aquatic Vegetation (SAV) 65 - overlap bathymetric bottom - temporally different from a separate lift 1 Withheld - edge clip This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The full NOAA Finger Lakes Topobathymetric Lidar project boundary extent covers 301,150 acres (~1,219 sqKm). LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid (GRS80) to geoidal height (Geoid18) and used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. This project dataset represents an area covering 141 - 5000 m x 5000 m boundary-clipped DEM tiles

These data were collected by Dewberry using a CZMIL Nova system. The data were acquired from 20210126 - 20210227. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); and no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45) in accordance with project specifications; temporal surface not used in bathymetric classification (65). This dataset consists of approximately 225 square miles of data along the shores of Tampa Bay and contains 3,180 500 m x 500 m lidar tiles.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data were acquired from 20140829 - 20140919. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), water column (25), bathymetric point (26), topobathy water surface (27), submerged object (29), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. Original contact information: Contact Name: Chief, Remote Sensing Division Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Phone: 301-713-2663

The 2019 - 2020 NOAA NGS Topobathy Lidar DEM: Hurricane Michael data were collected by multiple contractors including NV5 and Dewberry. The 100 meter buffered project area consists of approximately 2,120,060 acres encompassing the Florida Panhandle and extending south to New Port Richey, Florida, and was collected between November 2019 - July 2020 using a Leica Chiroptera 4X system. The dataset...

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221027 through 20221129. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); and submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 17,482 500 m x 500 m lidar tiles. This North Block dataset contains 8,054 500 m x 500 m tiles.

These data were collected by Leading Edge Geomatics using a RIEGL VQ880-G / RIEGL VQ880-GII topobathymertic lidar system. The data were acquired from November 22, 2019 to December 20, 2019. The data include topobathy data in LAS 1.4 format classified as created, unclassified (1); ground (2); noise (low or high) (7); bathymetric bottom (40); water surface (41); derived water surface (42); subme...

This map provides an elevation tinted hillshade surface generated dynamically using a chain of server-side functions applied on the TopoBathy layer. A tinted hillshade is a combination of a hillshaded result from the TopoBathy service, fused with a colormap applied to the same TopoBathy service to represent elevation. The hillshading is based on a solar altitude angle of 45 degrees, and solar aspect angle of 315 degrees. The z factor is varied based on scale so that a suitable hillshade is visible at all scales.Update Frequency: QuarterlyCoverage: World/GlobalData Sources: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see World Elevation Coverage Map.What can you do with this layer?Use for Visualization: Yes. This is appropriate for visualizing the shape and height of the terrain at a range of map scales. The image service can be added to applications or maps to enhance a users’ contextual understanding. Use for Analysis: No. To learn more about the technique used in this map to fuse the elevation tint with hillshade, refer NAGI fusion method paper and blog.For more details such as Data Sources, Mosaic method used in this layer, please see the TopoBathy layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.

This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.