The DWR Enterprise image server has hundreds of image services, but there is no interface for searching or querying the server. The image server index contains footprints of the geographic extent of each available image service, as well as relevant attributes that describe the image service. There are also related tables for most types of image services that contain information specific to that type of data, such as specification numbers for design drawings or beam types for bathymetry data.

The DWR Enterprise image server has hundreds of image services, but there is no interface for searching or querying the server. The image server index contains footprints of the geographic extent of each available image service, as well as relevant attributes that describe the image service. There are also related tables for most types of image services that contain information specific to that type of data, such as specification numbers for design drawings or beam types for bathymetry data.

The DWR Enterprise image server has hundreds of image services, but there is no interface for searching or querying the server. The image server index contains footprints of the geographic extent of each available image service, as well as relevant attributes that describe the image service. There are also related tables for most types of image services that contain information specific to that type of data, such as specification numbers for design drawings or beam types for bathymetry data.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

The objective of this project was to create a shoreline inventory for Hawai‘i Island, the largest and most diverse island in the Hawaiian archipelago. This was done via the collection and processing of high-resolution (<4 cm) aerial imagery along the approximately 428 km long shoreline of Hawai‘i Island using a helicopter-mounted imaging system developed by the University of Hawai‘i at Hilo Spatial Data Analysis & Visualization (SDAV) research laboratory. The collected imagery is supplemented by survey-grade ground control data gathered across a limited number of high priority coastline segments, which were determined in coordination with the Hawai‘i County planning department and land managers. This data collection includes orthomosaics rasters, digital surface model rasters, bare earth digital elevation model rasters, classified point cloud las files, and model outputs of sea level rise inundation for the shoreline of Hawai'i. The files in each of these datasets are labeled with the quadrants of the island (Northeast, Northwest, Southeast and Southwest) and given priority levels based on the quality of shoreline remaining (high, medium, low). Bare earth digital elevation model rasters, classified point cloud las files, and model outputs of sea level rise inundation were only collected for High Priority segments.

Export Data Access API Access 5m DEM Service Access NSW Elevation Service Access ELVIS Platform NSW Elevation and Depth Theme Please NoteWGS 84 service aligned to GDA94This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new 'multiCRS' functionality. Metadata Portal Metadata InformationContent TitleNSW Elevation and Depth ThemeContent TypeHosted Feature LayerDescriptionElevation and Depth is the measurement of the Earth’s surface above or below a vertical datum to obtain the height of the land. Data is collected using a range of sensors including: laser, sonar, radar and optical.Technical methodologies are used to derive spot heights, raster surfaces, contours, triangulated irregular networks and digital elevation models.Datasets that form the Elevation and Depth theme include: Historical Contours (2m Urban, 10m and 20m)Current 2m Contours (State wide)Spot HeightsRelative HeightsPoint cloud (LiDAR and Photogrammetrically derived) (available for download from Geoscience Australia ELVIS Platform)Digital Elevation Model (available for download from Geoscience Australia ELVIS Platform) Elevation Data Sets available from additional services.ELVIS – Elevation and DepthPoint Clouds - The point cloud data set consists of point clouds captured from LiDAR (Light Detection and Ranging) and derived from airborne imagery using photogrammetric techniques. Spatial Services Point Cloud data is available for on demand download from Geoscience Australia ELVIS Platform. Digital Elevation Models - Digital Elevation Models (DEM) are derived from Spatial Services’ (SS) point cloud data. The DEM is a bare earth representation of the earth’s surface where all the above ground feature has been removed.Spatial Services have a number of different Digital Elevation Models Digital Elevation Model derived from LiDAR - Are 1m or 2m resolution and is not hydrologically enforced(breaklines) or hydrologically conditioned (identification and analysis of sinks).Digital Elevation Model derived Photogrammetry - Data is 5m resolution. Areas of no data caused by steep slopes, shadow and vegetation have been interpolated or filled-in with another data source and will not be as accurate as the bare open ground areas. The data is not hydrologically enforced (breaklines) or hydrologically conditioned (identification and analysis of sinks).Spatial Services Digital Elevation Model data is available for on demand download from. Geoscience Australia ELVIS Platform as 2km x 2km tiles. You can also access the 5 Metre Digital Elevation Model Service in the Collaboration Portal.Elevation and Depth provides an accurate representation of the Earth’s surface enabling evidence-based decision making, 3D modelling, planning and earth surface representation.Elevation and Depth underpins:Safe hydrographicAeronautical and road navigationClimate science, including climate change adaptationEmergency management and natural hazard risk assessmentEnvironmental, including water managementEngineering projects and infrastructure developmentDefinition of maritime and administrative boundariesNatural resource exploration.Update frequencies vary for each dataset. Individual current status can be found under each Spatial data profile. The objective is to maintain elevation datasets to meet the FDSI requirements of key data users.Current programs include:Aerial LiDAR capture program across NSW.DEM and Point Cloud generation from photogrammetric techniques.Longer term programs include:Update of contour data using updated DEM data generated from LiDAR and Photogrammetry.Hydrological enforcement using improved surface models.Initial Publication Date05/04/2020Data Currency01/01/3000Data

This portion of the data release presents the raw aerial imagery collected during an Unmanned Aerial System (UAS) survey of the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, on 2019-06-03. The imagery was acquired using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. The camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 50 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 1.3 centimeters per pixel. The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. Flight F01 covered the Puget Creek area; flight F02 covered the Dickman Mill Park area. After acquisition, the images were renamed to include the flight number and acquisition time in the file name. The coordinates of the approximate image acquisition locations were added ('geotagged') to the image metadata (EXIF) using the telemetry log from the UAS onboard single-frequency autonomous GPS. The image EXIF were also updated to include additional information related to the acquisition. Although the images were recorded in both JPG and camera raw (Adobe DNG) formats, only the JPG images are provided in this data release. The data release includes a total of 1,171 JPG images. Images from takeoff and landing sequences were not used for processing and have been omitted from the data release. The images from each flight are provided in a zip file named with the flight number.

This portion of the data release presents the raw aerial imagery collected during an Unmanned Aerial System (UAS) survey of the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, on 2019-06-03. The imagery was acquired using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. The camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 50 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 1.3 centimeters per pixel. The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. Flight F01 covered the Puget Creek area; flight F02 covered the Dickman Mill Park area. After acquisition, the images were renamed to include the flight number and acquisition time in the file name. The coordinates of the approximate image acquisition locations were added ('geotagged') to the image metadata (EXIF) using the telemetry log from the UAS onboard single-frequency autonomous GPS. The image EXIF were also updated to include additional information related to the acquisition. Although the images were recorded in both JPG and camera raw (Adobe DNG) formats, only the JPG images are provided in this data release. The data release includes a total of 1,171 JPG images. Images from takeoff and landing sequences were not used for processing and have been omitted from the data release. The images from each flight are provided in a zip file named with the flight number.

This portion of the data release presents a digital surface model (DSM) and hillshade image of the intertidal zone at West Whidbey Island, WA. The DSM has a resolution of 4 centimeters per pixel and was derived from structure-from-motion (SfM) processing of aerial imagery collected with an unmanned aerial system (UAS) on 2019-06-04. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise in the original imagery have not been removed. The raw imagery used to create the DSM was acquired using a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The UAS was flown at an approximate altitude of 70 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 1.8 centimeters per pixel. Additional imagery was collected with the camera in an oblique orientation toward the coastal bluff face to image vertical faces. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Twenty-five temporary ground control points (GCPs) were distributed throughout the survey area to establish survey control. The GCPs consisted of a combination of small square tarps with black-and-white cross patterns and "X" marks placed on the ground using temporary chalk. The GCP positions were measured using post-processed kinematic (PPK) GPS, using corrections from a GPS base station located approximately 7 kilometers from the study area. The DSM and hillshade images have been formatted as cloud optimized GeoTIFFs with internal overviews and masks to facilitate cloud-based queries and display.