56773
2017 NOAA NGS Topobathy Lidar DEM: St. Jeromes Creek, MD
NOAA_MD1702_Topobathy_DEM.xml
Data Set
Published / External
47844
DEMs
Project
Completed
2019
This data was collected by NOAA using a Riegl VQ880G sensor. The data was acquired August 5, 2017. The data includes topobathy data in LAS 1.2 format classified as created,unclassified (1); ground (2); topographic noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object; not otherwise specified (30), in accordance with project specifications. The project consists of approximately 34 square miles of data along the shores of St. Jeromes Creek. This dataset contains 342 500 m x 500 m lidar tiles.
St. Jeromes Creek has been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps.
The full workflow used for this project is found in the final project report submitted to NOAA.
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 > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
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
VERTICAL LOCATION > LAND SURFACE
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
DEM
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Elevation Data
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the National Geodetic Survey, the Coastal Services Center, or its partners.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA)
Data Steward
2019
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Distributor
2019
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Metadata Contact
2019
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Point of Contact
2019
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Ground Condition
-76.386945
-76.304493
38.165636
38.020557
Discrete
2017-08-05
Projected
EPSG:6347
NAD83(2011) / UTM zone 18N
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
NAD83(2011)
UTM zone 18N
Transverse Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
75° 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:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for custom downloads
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
2019-07-01
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8778
2019
Organization
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
2019-07-01
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NGS_MD_StJeromesCreek_DEM_2017_8778/index.html
2019
Organization
Office for Coastal Management
Bulk Download
Bulk download of data files in the original coordinate system.
img
IMG - ERDAS Imagine
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8777/supplemental/md2017_ngs_topobathy_stjeromecreek_m8777.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/
NOAA's Office for Coastal Management (OCM) website
Online Resource
HTML
Information on the NOAA Office for Coastal Management (OCM)
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
OS Independent
NOAA acquired and calibrated all lidar data and Dewberry classified this data and created derivative products. As such, Dewberry did not perform any absolute positional accuracy testing on this dataset. The DEMs are derived from the source lidar and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production.
NOAA acquired and calibrated all lidar data and Dewberry classified this data and created derivative products. NOAA collected lidar data to meet 15cm vertical accuracy at 1 sigma. Dewberry did not perform any absolute positional accuracy testing on this dataset. The DEMs are derived from the source lidar and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production.
Data covers the project boundary.
Not applicable
Lidar was acquired by NOAA and processed by Dewberry.
1
Data for the St. Jeromes Creek project was acquired by NOAA using a Riegl VQ880G sensor. All delivered lidar data is referenced to:
Horizontal Datum-NAD83 (2011) epoch: 2010
Projection-UTM Zone 18 North
Horizontal Units-meters
Vertical Datum-NAD83(2011) epoch: 2010
Vertical Units-meters
This dataset encompasses 342 500m x 500m tiles. Both green lidar data and NIR lidar data were acquired.
NOAA acquired, calibrated, and performed the refraction correction of the lidar data. Light travels at different speeds in air versus water and its direction of travel or angle is changed or refracted when entering the water column. The refraction correction process corrects for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar data acquired within water.
Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths was verified through the use of Delta-Z (DZ) orthos created in GeoCue software. Intraswath or within a swath relative accuracy was verified using Quick Terrain Modeler. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths.
Dewberry used algorithms in TerraScan to create the intial ground/submerged topography surface.
Dewberry created 2-D breaklines by digitizing breaklines in a 2-D environment using intensity imagery as a reference. Dewberry used the 2-D breaklines to classify the bathymetric bottom and ground points properly in TerraScan.
All lidar data was peer-reviewed. Dewberry's QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data is in LAS format 1.2 and point data record format 3.
The final classificaton scheme is as follows:
1-Unclassified
2-Ground
7-Topographic Noise
22-Bathymetric Noise
25-Water Column
26-Bathymetric Bottom
27-Water Surface
30-International Hydrograpic Organization (IHO) S-57 Object
All data was then verified by an Independent QC department within Dewberry. The independent QC was performed by separate analysts who did not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews.
2019-02-01T00:00:00
Organization
National Geodetic Survey
NGS
1315 East-West Hwy
Silver Spring
MD
20910
https://geodesy.noaa.gov/
2
Dewberry made a copy of the final lidar data and transformed the data from ellipsoid heights to orthometric heights, referenced to NAVD88 Geoid 12B, meters. The lidar data in orthometric heights was used to create the final topobathymetric DEMs in orthometric heights
Lidar data was converted to a LAS Dataset. Lidar data classified as ground (2) and submerged topography (26) were then used to generate a raster in IMG format with 1 meter pixel resolution. The output raster was created over the full AOI area to reduce edge-matching issues and improve seamlessness. The raster was clipped to the tile grid and named according to project specifications to result in tiled topobathymetric DEMs.
All tiled DEMs incorporate the use of the void polygons. The void polygons represent bathymetric areas with no bathymetric bottom returns and are set as NoData in the DEMs. Void polygon creation is described in the final project report and the void polygon metadata.
A confidence layer has been created and provided to NOAA as part of the deliverables. Except where there are not enough lidar data points in a pixel to calulate a standard deviation value, the confidence layer is a raster product in IMG format with 1 meter square pixels. The confidence layer provides a standard deviation value for every pixel by calculating the standard deviation of all ground and/or submerged topography lidar points that are located within a single pixel. The confidence layer pixels align to the pixels in the topobathy DEMs. The confidence layer can be displayed by unique values or classified into desired bins/ranges for analysis over larger areas.
2019-03-01T00:00:00
gov.noaa.nmfs.inport:56773
Maryellen Sault
2019-07-01T09:17:57
Kirk Waters
2024-01-10T19:06:11
2024-01-10
Office for Coastal Management
OCM
1002
Public
No
2022-03-16
1 Year
2023-03-16