gov.noaa.nmfs.inport:65827
eng
UTF8
dataset
Elevation
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
EPSG::5703
EPSG::3857
2020 USGS Lidar: South Coastal Maine (QL2)
me2020_south_cst_ql2_m9397_metadata
2020
creation
2021-10-06
publication
NOAA/NMFS/EDM
65827
https://www.fisheries.noaa.gov/inport/item/65827
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9397/supplemental/ME_SouthCoastal_2020_A20_WP_Report.pdf
WWW:LINK-1.0-http--link
USGS Work Package Report
Link to the USGS Work Package Report.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9397/breaklines/
WWW:LINK-1.0-http--link
Hydro Breaklines
Link to the hydro breaklines.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9397/supplemental/MaineSouthCoast_191382_QL2_LidarProcessing_Report.pdf
WWW:LINK-1.0-http--link
Lidar Processing Report
Link to the lidar processing report.
download
https://coast.noaa.gov/dataviewer/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
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.
download
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3274 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
Geographic Extent: 10 counties in Maine, covering approximately 2610 total square miles.
Dataset Description: The ME_SouthCoastal_1_2020 Work Unit 191382 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 3274 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format.
Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 64 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 151 independent accuracy checkpoints, 86 in Bare Earth and Urban landcovers (86 NVA points), 65 in Tall Weeds categories (65 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
NV5 Geospatial, powered by Quantum Spatial, USGS
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
notPlanned
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9397/supplemental/me2020_cst_south_ql2_m9397.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE
VERTICAL LOCATION > LAND SURFACE
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
beach
erosion
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2020 USGS Lidar: South Coastal Maine (QL2) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/65827.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
Use Constraints: 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.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
65827
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/65827.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
.7
eng; US
elevation
MicroStation Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.5; Windows 10 Operating System
\\point_cloud\tilecls\*.las
-70.715711
-69.263439
43.044764
44.492708
| Currentness: Ground Condition
2020-05-17
2020-06-10
CONTRACTOR: NV5 Geospatial, powered by Quantum Spatial
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Specification v2.1",
"ldrsens" : "Riegl VQ1560i",
"ldrmaxnr" : "unlimited",
"ldrnps" : "0.71",
"ldrdens" : "2.0",
"ldranps" : "0.71",
"ldradens" : "1.98",
"ldrfltht" : "2200",
"ldrfltsp" : "130",
"ldrscana" : "29",
"ldrscanr" : "60",
"ldrpulsr" : "350",
"ldrpulsd" : "3",
"ldrpulsw" : "0.4",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.18",
"ldrswatw" : "2439.0",
"ldrswato" : "20",
"ldrgeoid" : "Geoid 18",
"ldrcrs" : "NAD 1983 2011 UTM Zone 19N, Meter"
},
"ldraccur" : {
"ldrchacc" : "0",
"rawnva" : "0",
"rawnvan" : "0"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",
"lasolap" : "Any overage point deemed geometrically reliable will be used within the normal classification schema. Overage points are not specifically flagged with any special bit value.",
"lasintr" : "16",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Processed, but Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare-Earth Ground"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Low Noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Noise"
},
"lasclass" : {
"clascode" : "20",
"clasitem" : "Ignored Ground"
}
}}
Zip
Zip
LAS/LAZ - LASer
Zip
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
https://usgs.gov
WWW:LINK-1.0-http--link
USGS Home
Home page for USGS
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9397/details/9397
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
download
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ME_SouthCoastal_2020_A20/ME_SouthCoastal_1_2020/LAZ/
WWW:LINK-1.0-http--link
Bulk Download
Bulk download of data files in LAZ format, UTM Zone 19 NAD83 (2011), meters coordinates and orthometric heights in meters. This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.
download
dataset
Horizontal Positional Accuracy
Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95% of the time. Based on a flying altitude of 2200 meters, an IMU error of 0.003 decimal degrees, and a GNSS positional error of 0.064 meters, this project was compiled to meet 0.37 meter horizontal accuracy at the 95% confidence level or 21 cm RMSEr.
Vertical Positional Accuracy
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.
USGS Determined Vertical Accuracy:
NVA
Number of checkpoints: 86
NVA RMSEz = 4.1 cm, NVA Accuracyz at 95th confidence interval=8.07 cm
VVA
Number of checkpoints: 65
VVA= 13.96 cm at the 95th percentile
For more information see the USGS work package report and the project report. The links to these reports are provided in the URL section of this metadata record.
Completeness Report
These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications.
Conceptual Consistency
Data cover the entire area specified for this project.
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container.
Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used NV5 Geospatial, powered by Quantum Spatial proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter.
2021-01-01T00:00:00
LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using proprietary tools. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. Any noise that was identified either through manual review or automated routines was classified to the appropriate class ( ASPRS Class 7 and/or ASPRS Class 18) followed by flagging with the withheld bit. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
2021-01-01T00:00:00
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were reprojected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical (NAVD88 GEOID18 meters).
U.S. Geological Survey
processor
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.
This is the AWS URL being accessed:
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCoastal_1_2020/ept.json
The data reports, metadata, and breaklines were downloaded from this USGS site:
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/ME_SouthCoastal_2020_A20/
Office for Coastal Management
processor
Source Contribution: This data source was used (along with airborne GPS/IMU data) to georeference the LiDAR point cloud data.
Ground Control for the ME_SouthCoastal_1_2020 Work Unit 191382 Project
2021-10-06
publication
Sewall
originator
2020-07-14
USGS AWS Entwine Point Tiles
USGS
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCoastal_1_2020/ept.json
WWW:LINK-1.0-http--link
Entwine Point Tiles for ME_SouthCoastal_1_2020
Source Citation URL
information
publisher