Lesson: Explore the use of a mosaic dataset to provide extensive image management capabilities.In this lesson, you'll focus on the management and storage of large volumes of imagery and remote sensing data in ArcGIS Pro. As a remote sensing and GIS analyst for the Upper Austria government, you have received a collection of orthophotos that you must manage and share effectively with stakeholders. You will explore the challenges of working with multiple images individually and create a mosaic dataset that will allow you to work with the collection of seamless images, making them accessible and turning them into useful information products for both visualization and analysis. Next, you will enhance the mosaic dataset by applying and incorporating analysis functionality and, finally, add and use a catalog of imagery from an ArcGIS Living Atlas mosaic dataset.This lesson was last tested on May 26, 2021, using ArcGIS Pro 2.8. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.RequirementsArcGIS Pro (get a free trial)Lesson Plan1. Work with multiple raster datasetsExplore the challenges of working with multiple images individually.15 minutes2. Create a mosaic datasetCreate a mosaic dataset that will allow you to work with a collection of seamless images.15 minutes3. Use a mosaic dataset as a dynamic imageEnhance the mosaic dataset by applying and incorporating analysis functionality.30 minutes4. Use a mosaic dataset as a catalog of imageryAdd and use a catalog of imagery from an ArcGIS Living Atlas mosaic dataset.30 minutes

Presented here is a method to create a 1-second Seamless Coastal Digital Elevation Model (SCDEM) from 1-meter resolution LiDAR-derived DEMs

The process is used to make three surfaces using three statistics: -Mean - provides elevation for each cell -Range - an absolute indication of roughness or terrain variability for each cell -Standard Deviation - a normalised indication of roughness or terrain variability for each cell

The Seamless Coastal DEM creation process can be broken into several phases: 1.Calculation of summary statistics and creation of DEMs for each survey area at the desired resolution (projected coordinate system) 2.Resampling all DEMs to 1-second (geographic coordinate system) 3.Identifying the area of least difference (seamline) using a delta-surface of overlapping survey areas 4.Re-shaping survey outlines along seamlines 5.Clipping summary statistic DEMs along re-shaped survey outlines 6.Mosaicking all surveys together into a seamless DEM

The SCDEM creation process has been largely automated; scripts have been created to accomplish steps 1, 5 and 6 (which are the most time-intensive steps). Steps 2, 3, and 4 are conducted manually for each area where overlapping surveys exist. The SCDEM has been tested against the control points provided with the original LiDAR surveys, and it has been found to have a lower RMSE [2.02m] than any existing 1-second elevation datasets: the Shuttle Radar Topography Mission (SRTM) DEM [2.78m] and the smoothed version of the SRTM DEM [2.61m].

Note: this is a downloadable tile package (.tpkx format) for use in ArcGIS desktop software. The online tiled image service can be found here. Each time the Multibeam Bathymetry Mosaic is updated, this tile package will be deleted and replaced with a new one (with a new URL). Please refer to the tiled layer page for a link to the current tile package.Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: March 5, 2024.Metadata for the Multibeam Bathymetric Database

Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.

The objectives of the survey were to provide bathymetric and sidescan sonar data for sediment transport studies and coastal change model development for ongoing studies of nearshore coastal dynamics along Sandwich Town Neck Beach, MA. Data collection equipment used for this investigation are mounted on an unmanned surface vehicle (USV) uniquely adapted from a commercially sold gas-powered kayak and termed the "jetyak". The jetyak design is the result of a collaborative effort between USGS and Woods Hole Oceanographic Institution (WHOI) scientists.

This portion of the data release contains digital image mosaics along the south coast of Moloka'i. Digital mosaics at 1-foot (0.3048-meter) resolution, including the areas of Pala'au, Umipa'a, Kaunakakai, Kamiloloa, Kawela, Kamalo, and Kalaeloa, were generated from 1:10K aerial photography, and are presented in one zip file (molokai_1ft.zip) that also contains lower-resolution 'browse' graphics of each image-mosaic area, as well as associated metadata. Digital mosaics at 1-meter resolution, including the areas of La'au Point, Hale O Lono, Waiakane, Pala'au, Kaunakakai, Kamiloloa, Kawela, Kamalo, and Puko‘o, were generated from 1:35K aerial photography, and are presented in a second zip file (molokai_1m.zip) that also contains 'browse' graphics of each image mosaic area, as well as associated metadata. Several of the 1-meter-resolution images have been merged together and combined with lidar bathymetry data to create three large shaded-relief images along the southwest (Waiakane to Pala'au), southcentral (Pala'au to Kawela), and southeast (Kawela to Puko'o) coasts of Moloka'i. These shaded-relief images are presented in a third zip file (molokai_1m_shaded.zip), along with 'browse' graphics of each image mosaic area and associated metadata.

Last Revised: April 2016

Map Information

This nowCOAST™ time-enabled map service provides maps of NOAA/National Weather Service (NWS) and Office of Oceanic and Atmospheric Research (OAR) Multi-Radar/Multi-Sensor (MRMS) mosaics of quality-corrected base reflectivity images across the Contiguous United States (CONUS) as well as Puerto Rico, Hawaii, Guam and Alaska with a 1 kilometer (0.62 mile) horizontal resolution. The mosaics are compiled by combining regional base reflectivity radar data obtained from Weather Surveillance Radar 1988 Doppler (WSR-88D) also known as NEXt-generation RADar (NEXRAD) sites across the country operated by the NWS and the Dept. of Defense and also from data from Terminal Doppler Weather Radars (TDWR) at major airports. The combined data is then adjusted using a quality-control algorithm developed by the NOAA National Severe Storms Laboratory (NSSL), and published in both GRIB2 and RGB GeoTIFF formats. nowCOAST processes and displays the data from the GRIB2 files. The colors on the map represent the strength of the energy reflected back toward the radar. The reflected intensities (echoes) are measured in dBZ (decibels of z). The color scale is the same as used in the NWS RIDGE2 map viewer, however dBZ values are rounded down to the integer during processing in order to improve display performance. The radar data itself is updated by the NWS every 10 minutes during non-precipitation mode, but every 2-6 minutes during precipitation mode. nowCOAST™ downloads, processes, and displays the latest mosaics every 4 minutes. For more detailed information about layer update frequency and timing, please reference the nowCOAST™ Dataset Update Schedule.

Background Information

Reflectivity is related to the power, or intensity, of the reflected radiation that is sensed by the radar antenna. Reflectivity is expressed on a logarithmic scale in units called dBZ. The "dB" in the dBZ scale is logarithmic and is unitless, and is used only to express a ratio. The "Z" is the ratio of the density of water drops (measured in millimeters raised to the 6th power) in each cubic meter (mm^6/m^3). When the "Z" is large (many drops in a cubic meter), the reflected power is large. A small "Z" means little returned energy. In fact, "Z" can be less than 1 mm^6/m^3 and since it is logarithmic, dBZ values will become negative, as is often the case when the radar is in clear air mode and indicated by earth tone colors. dBZ values are related to the intensity of rainfall. The higher the dBZ, the stronger the rain rate. A value of 20 dBZ is typically the point at which light rain begins. The values of 60 to 65 dBZ is about the level where 3/4 inch hail can occur. However, a value of 60 to 65 dBZ does not mean that severe weather is occurring at that location. The base reflectivity is the lowest (1/2 degree elevation angle) reflectivity scan from the radar. The source of the base reflectivity mosaics is the NOAA Multi-Radar/Multi-Sensor (MRMS) System, which is developed by the NOAA National Severe Storms Laboratory (NSSL) and operated by NWS/National Centers for Environmental Prediction (NCEP) Central Operations (NCO).

Time Information

This map service is time-enabled, meaning that each individual layer contains time-varying data and can be utilized by clients capable of making map requests that include a time component.

In addition to ArcGIS Server REST access, time-enabled OGC WMS 1.3.0 access is also provided by this service.

This particular service can be queried with or without the use of a time component. If the time parameter is specified in a request, the data or imagery most relevant to the provided time value, if any, will be returned. If the time parameter is not specified in a request, the latest data or imagery valid for the present system time will be returned to the client. If the time parameter is not specified and no data or imagery is available for the present time, no data will be returned.

This service is configured with time coverage support, meaning that the service will always return the most relevant available data, if any, to the specified time value. For example, if the service contains data valid today at 12:00 and 12:10 UTC, but a map request specifies a time value of today at 12:07 UTC, the data valid at 12:10 UTC will be returned to the user. This behavior allows more flexibility for users, especially when displaying multiple time-enabled layers together despite slight differences in temporal resolution or update frequency.

When interacting with this time-enabled service, only a single instantaneous time value should be specified in each request. If instead a time range is specified in a request (i.e. separate start time and end time values are given), the data returned may be different than what was intended.

Care must be taken to ensure the time value specified in each request falls within the current time coverage of the service. Because this service is frequently updated as new data becomes available, the user must periodically determine the service's time extent. However, due to software limitations, the time extent of the service and map layers as advertised by ArcGIS Server does not always provide the most up-to-date start and end times of available data. Instead, users have three options for determining the latest time extent of the service:

  Issue a returnUpdates=true request (ArcGIS REST protocol only)
  for an individual layer or for the service itself, which will return
  the current start and end times of available data, in epoch time format
  (milliseconds since 00:00 January 1, 1970). To see an example, click on
  the "Return Updates" link at the bottom of the REST Service page under
  "Supported Operations". Refer to the
  ArcGIS REST API Map Service Documentation
  for more information.


  Issue an Identify (ArcGIS REST) or GetFeatureInfo (WMS) request against
  the proper layer corresponding with the target dataset. For raster
  data, this would be the "Image Footprints with Time Attributes" layer
  in the same group as the target "Image" layer being displayed. For
  vector (point, line, or polygon) data, the target layer can be queried
  directly. In either case, the attributes returned for the matching
  raster(s) or vector feature(s) will include the following:


      validtime: Valid timestamp.


      starttime: Display start time.


      endtime: Display end time.


      reftime: Reference time (sometimes referred to as
      issuance time, cycle time, or initialization time).


      projmins: Number of minutes from reference time to valid
      time.


      desigreftime: Designated reference time; used as a
      common reference time for all items when individual reference
      times do not match.


      desigprojmins: Number of minutes from designated
      reference time to valid time.




  Query the nowCOAST™ LayerInfo web service, which has been created to
  provide additional information about each data layer in a service,
  including a list of all available "time stops" (i.e. "valid times"),
  individual timestamps, or the valid time of a layer's latest available
  data (i.e. "Product Time"). For more information about the LayerInfo
  web service, including examples of various types of requests, refer to
  the 
  nowCOAST™ LayerInfo Help Documentation

References

Lin Tang, Jian Zhang, Carrie Langston and John Krause, Kenneth Howard,
Valliappa Lakshmanan, 2014: A Physically Based Precipitation–Nonprecipitation
Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time
National System. Weather and Forecasting, 29, 1106–1119, doi: 10.1175/WAF-D-13-00072.1.
(Available at http://journals.ametsoc.org/doi/full/10.1175/WAF-D-13-00072.1).



NWS, 2013: Radar Images for GIS Software
(http://www.srh.noaa.gov/jetstream/doppler/gis.htm).

This public base layer imagery is a whole of State layer configured as a flattened and seamless single service. It can be used as a background in conjunction with other data services to provide a spatial reference. Locate uses the WA Now imagery service and comprises of 1:100k aerial imagery tiles, aboriginal community, regional and town site mosaics, as well as the Perth Metro 'metropolitan' mosaic. This service, particularly the large scale imagery (ie Perth metro, town sites, aboriginal communities) is a delayed deployment and a minimum of 300 days older than the subscription version of WA Now imagery. It is intended for non-commercial use only and not recommended for use by commercial entities or government agencies. © Western Australian Land Information Authority (Landgate) 2016. Access to Landgate’s publicly available data is subject to the terms and conditions of the SLIP Transaction - Personal Use Licence. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

This raster dataset is a high-resolution mosaic of 4 Corona-KH4 satellite photos over the northern Seward Peninsula in Northwest Alaska dated to 28 July 1962. The mosaic covers a total area of about 26,000 km2 with about 2/3 of this being land area, including portions of the Bering Land Bridge National Preserve, the Cape Espenberg Lowland, the Baldwin Peninsula, and the settlements of Kotzebue and Shishmaref. The images of the Corona KH-4 camera system were ordered through the Earth Explorer web interface. The Corona images are part of a batch of US military satellite imagery declassified for civilian use in 1995 under an Executive Order by the US President. Each of the 4 images used in this dataset, originally film negatives, was scanned in 4 segments in high resolution (7 micron, 3600 dpi) by the USGS EROS data center. The processing, all conducted in ArcGIS 9.3, included georeferencing each individual image segment to a common base (three L1T terrain-corrected scenes of Landsat-5 TM and Landsat-7 ETM+). Between 22 and 53 Ground Control Points were identified between a segment and base image, achieving Root Mean Square Errors (RMSE) from 6.9m to 16.4m. The individual segments were then rectified with a 3rd polynomial order warping using bilinear pixel resampling. Histogram matching in overlapping image portions was used to smooth the transition between greyscale values between image strips. All segments were then mosaicked into one raster. The image mosaic was gridded to a 6m ground resolution and exported as a GeoTIFF (3.9 GB) raster image with a projection in UTM 3N, WGS-84.

Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.

The Statewide Landcover and Trees Study (SLATS) landcover mapping involves several stages of automated and semi-automated image classification techniques, together with visual interpretation. Water, bare ground and shadow (unclassified) masks are created for each scene using spectral classification and visual interpretation.

Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.This tiled service is also available as a downloadable tile package (.tpkx file) usable in ArcGIS Pro / ArcGIS Desktop software.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database

Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database

description: This portion of the data release contains a shaded-relief image mosaic of the nearshore coastal waters along southeast Moloka'i. This image mosaic was generated using digitized 1:35K natural color photographs collected in September 1993 by the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) and scanned in at 1-meter resolution. Several of the 1-meter-resolution images have been merged together and combined with lidar bathymetry data to create a large shaded-relief image. Also available is a lower-resolution 'browse' graphic and associated metadata.; abstract: This portion of the data release contains a shaded-relief image mosaic of the nearshore coastal waters along southeast Moloka'i. This image mosaic was generated using digitized 1:35K natural color photographs collected in September 1993 by the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) and scanned in at 1-meter resolution. Several of the 1-meter-resolution images have been merged together and combined with lidar bathymetry data to create a large shaded-relief image. Also available is a lower-resolution 'browse' graphic and associated metadata.

Note: this group layer displays the tiled version of the Multibeam Bathymetry Mosaic at smaller scales (more zoomed out), and dynamically when zoomed in.Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database

Mosaic 资产 - 当前值，历史数据，预测，统计，图表和经济日历 - Mar 2025.Data for Mosaic | 资产 including historical, tables and charts were last updated by Trading Economics this last March in 2025.

This data set contains landscape mosaic images, created as a product for the NOAA Coral Reef Conservation Program’s (CRCP) National Coral Reef Monitoring Program (NCRMP). Orthorectified mosaic images of six reef plots were captured of a coral reef near Salt River in St. Croix, US Virgin Islands. Each reef plot is made up of a 10m x 10m transect area (100 m2). Landscape mosaics are a composite of many underwater images stitched together. These mosaics have the clarity and pixel size of the individual pictures but collectively produce a “landscape view†of the coral reef community within each transect. A scuba diver holds the mosaic rig, containing two separate cameras, above the transect while swimming in a lawnmower pattern creating a crosshatching design. The diver takes these underwater images about one to two meters above the seabed at a rate of one image per second per camera. This swimming technique allows the mosaic rig to gather 1500-3000 images which are then merged into a single “landscape mosaic image†file via Agisoft Photoscan® software. A total of six TIFF (.tif) files are included in this dataset, one TIFF file corresponds to one reef transect plot area.

description: This portion of the data release contains an image mosaic of the Kukio area on the west 'Kona' coast of the island of Hawai'i. This image mosaic was generated using digitized 1:24K natural color photographs collected in June 2000 by the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS). Two versions of the image mosaic are available--one with and one without a lidar bathymetry shaded-relief image digitally combined with the aerial photography mosaic results. The shaded-relief image was derived using airborne SHOALS (Scanning Hydrographic Operational Lidar Survey) lidar (LIght Detection And Ranging) data collected for the U.S. Geological Survey (USGS) by the U.S. Army Corp of Engineers (USACE) in April 1999. Also available is a lower-resolution 'browse' graphic of the image mosaic and associated metadata.; abstract: This portion of the data release contains an image mosaic of the Kukio area on the west 'Kona' coast of the island of Hawai'i. This image mosaic was generated using digitized 1:24K natural color photographs collected in June 2000 by the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS). Two versions of the image mosaic are available--one with and one without a lidar bathymetry shaded-relief image digitally combined with the aerial photography mosaic results. The shaded-relief image was derived using airborne SHOALS (Scanning Hydrographic Operational Lidar Survey) lidar (LIght Detection And Ranging) data collected for the U.S. Geological Survey (USGS) by the U.S. Army Corp of Engineers (USACE) in April 1999. Also available is a lower-resolution 'browse' graphic of the image mosaic and associated metadata.

Forecast: Import of Glass Cubes and Mosaic Tiles to the US 2024 - 2028 Discover more data with ReportLinker!

Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.