68532
2018 USACE NCMP Topobathy Lidar DEM: Lake Huron, MI
mi2018_huron_dem_m9657_metadata
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2018
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 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. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 Universal Transverse Mercator Zone 17 North (NAD83 UTM Zone 17N). Vertical positions are referenced to the NAD83 (2011) ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID12B model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Once converted to orthometric heights, the data are then converted to the International Great Lakes Datum of 1985 (IGLD85) using the VDatum program from NOAA (National Oceanic and Atmospheric Administration). 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.
These data were received by the NOAA Office for Coastal Management (OCM) from the USACE JALBTCX (Joint Airborne Lidar Bathymetry Technical Center of Expertise). NOAA OCM processed the data to be available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer (DAV). In addition to these bare earth Digital Elevation Model (DEM) data, the RGB imagery and the lidar point data that these DEM data were created from, are also available from the NOAA Digital Coast. The links to these data are provided in the URL section of this metadata record. DEMs at a a 1 meter grid spacing, created from all classifications, are available by request at coastal.info@noaa.gov.
This data was collected by the USACE in support of the National Coastal Mapping Program to assess changes in elevation above and below water along the coast of Michigan.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products.
Data Steward
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-83.356017
-82.399356
44.736457
42.982969
Range
2018-10-16
2018-10-21
Yes
Projected
EPSG:6346
NAD83(2011) / UTM zone 17N
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
NAD83(2011)
UTM zone 17N
Transverse Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
81° 0' 0" W
Scale factor at natural origin
0.9996
False easting
500000
metre
False northing
0
metre
1
Easting
E
metre
east
2
Northing
N
metre
north
Vertical
EPSG:5609
IGLD 1985 height
International Great Lakes Datum 1985
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for bulk and custom downloads.
These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data supplied. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures.
These data depict the heights at the time of the survey and are only accurate for that time. Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. The data herein, including but not limited to geographic data, tabular data, analytical data, electronic data structures or files, are provided "as is" without warranty of any kind, either expressed or implied, or statutory, including, but not limited to, the implied warranties or merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the data is assumed by the user. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the U.S. Army Corps of Engineers, Mobile District Office, Spatial Data Branch be liable for direct, indirect, incidental, consequential or special damages of any kind, including, but not limited to, loss of anticipated profits or benefits arising out of use of or reliance on the data. The Spatial Data Branch does not accept liability for any damages or misrepresentation caused by inaccuracies in the data or as a result of changes to the data caused by system transfers or other transformations or conversions, nor is there responsibility assumed to maintain the data in any manner or form. Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations.
2022-11-21
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9657/details/9657
2022
Organization
NOAA Office for Coastal Management
Customized Download
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
Zip
Zip
2022-11-21
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USACE_Huron_DEM_2018_9657/index.html
2022
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of data files in the original coordinate system.
GeoTIFF
GeoTIFF
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8627/supplemental/mi2018_huron_m8627.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=9678
RGB Imagery
Online Resource
GeoTiff
Link to custom download from the NOAA Data Access Viewer (DAV), the RGB imagery collected along with the lidar data.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8627/details/8627
Custom Point Download
Online Resource
Zip
Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created.
Every effort within operational constraints was made to acquire data that meets specifications as outline in this project's Statement of Work. Per flight block, elevations in areas of swath overlap are internally consistent and meet CZMIL specifications. Annomalous high and/or low elevation values have been removed, and point cloud classification algorithms have been validated via manual review and QC. Temporal differences in elevation exist in areas of active nearshore processes from the dune to the depth of closure. JALBTCX conducts operations in a manner to ameliorate temporal differences, to include the collection of entire flight blocks within single missions. For a given flight block, it's adjacent flight blocks are captured within 3 days as weather and airspace permit.
CZMIL topographic data - Compiled to meet 1 m horizontal accuracy at 95% confidence level. CZMIL bathymetric data - Compiled to meet 3.5 + 0.05d m horizontal accuracy at 95% confidence level, d is depth.
CZMIL topographic data - Compiled to meet 20 cm vertical accuracy at 95% confidence level. CZMIL bathymetric shallow FOV data - Compiled to meet SQRT((0.25^2) +((0.0075d)^2)) m vertical accuracy at 95% confidence level, d is depth. CZMIL bathymetric deep FOV data - Compiled to meet SQRT((0.30^2) +((0.013d)^2)) m vertical accuracy at 95% confidence level, d is depth.
Planned data coverage for this dataset includes the shoreline along the coast of Michigan. Lidar and imagery data acquisition was focused on a 1500 meter swath of the shoreline that generally extends from the shoreline onshore 500 meters and from the shoreline offshore to 1000 meters or laser extinction, whichever occurs first. The planned point spacing is 70 centimeters on land and in shallow water. In deeper water the planned point spacing is 2 meters. Gaps or data holidays exist in the bathymetric portion of the data coverage due to a number of operational and environmental conditions, including by not limited to, active surf, low-reflectivity bottom substrate materials and turbidity in the water column. Please see the Report of Survey for additional details.
Every effort within operational constraints was made to achieve the intended data coverage and planned point densities.
This data set covers the spatial extent of topographic lidar data obtained during this survey.
No discernable offsets or horizontal shifts were found during visual inspecton of the lidar-derived grid products against basemap imagery products.
JALBTCX evaluates final data coverage using techniques that are common to the lidar industry. These techniques are performed in a 3D environment for visual review of the final data coverage and verification of data alongside lidar waveforms and imagery collected concurrent with the lidar. Data reviewers perform checks to verify (1) extreme high and/or low elevation values have been invalidated, (2) elevations in areas of swath overlap are internally consistent, (3) binned standard deviation values meet CZMIL specifications, (4) point cloud classifications are valid, and (4) CZMIL processing modes are valid.
CZMIL data is processed from raw lidar waveforms to point clouds using the CZMIL HydroFusion software package. Point clouds are then classified and edited in industry-standard software packages. Derivative data products are generated through the application of gridding and contouring algorithms in a GIS environment. The data processing workflow, including software packages, algorithms and parameters are provided in detail, herein this metadata as Process Steps.
JALBTCX
Organization
JALBCTX
Originator
1
LAS files are imported into TerraScan V13 module within MicroStation V8i, classifies valid topobathy data as ground points (2) and unclassified points (1), and valid bathymetric points (29). Upon completion the macro, the classification results undergo quality control and any misclassified points are manually edited. In areas of dense vegetation the bare earth ground points might be incorrectly classified due to the inability of the laser to penetrate the canopy and reach the bare ground. In these areas, JALBTCX defaults to the algorithm's ground surface instead of manually reclassifying those points. They are partitioned into a series of 1-km delivery boxes, one Classified LAS file per box. The format of the file is LAS version 1.2. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data), and 29 (valid bathymetric data). Vertical positions are also transformed from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Once converted to orthometric heights, the data are then converted to the International Great Lakes Datum of 1985 (IGLD85) using the VDatum program from NOAA (National Oceanic and Atmospheric Administration).
2021-06-04T00:00:00
2
Data classified as ground points (2) and bathymetric points (29) in the las files are converted to a grid by generating a triangulated irregular network (TIN) and then extracting the grid node elevations from the TIN surface. The origin point of the grid is located at a horizontal position whose value is evenly divisible by the 1m grid resolution such that rasters from subsequent surveys have common cell boundaries. JALBTCX uses Quick Terrain Modeler V8.2.1 to perform this operation utilizing the following parameters; Legacy Triangulation, Max Sample Excursion - 500, Max Triangle Side 500, and Tiling Settings Snap to Grid (Expand). The grid is exported from Quick Terrain Modeler as a GeoTIFF 32-Bit DEM file. Utilizing an in-house python script within Jupyter Notebook, the null data values in the file are converted from -9999 to NoData with the Set Null tool from the ArcGIS Spatial Analyst Toolbox. The script also calls the Define Projection tool from the ArcGIS Data Management Toolbox to set the file's coordinate system information to The North American Datum of 1983 (2011). The raster is then multiplied against a corresponding 1m mask raster, an intermediate mask image produced from JALBTCX's 1mGrid data product, to remove interpolated areas where data does not exist.
2021-12-27T00:00:00
3
The NOAA Office for Coastal Management (OCM) received 549 files in tif format from USACE JALBTCX for the Lake Huron coastline in Michigan. The bare earth raster files were at a 1 m grid spacing. The data were in UTM Zone 17 NAD83 (2011) meters coordinates and IGLD85 elevations in meters. OCM assigned the appropriate EPSG codes (Horiz - 6346 and Vert - 5609) and copied the raster files to https for Digital Coast storage and provisioning purposes.
2022-11-21T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
68530
Data Set
2018 USACE NCMP Topobathy Lidar: Lake Huron, MI
Cross Reference
gov.noaa.nmfs.inport:68532
Rebecca Mataosky
2022-11-21T20:00:15
Kirk Waters
2024-01-10T19:28:09
2024-01-10
OCM Partners
OCMP
1002
Public
No
2022-11-21
1 Year
2023-11-21