gov.noaa.nmfs.inport:49407
eng
UTF8
dataset
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)
2
row
1500
column
1500
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1
EPSG::6347
EPSG::6348
EPSG::5703
Maine and Massachusetts 2015 QL1 and QL2 Lidar DEM
2015_ME_MA_lidar_DEM_m5191_metadata
2016-12-15
publication
NOAA/NMFS/EDM
49407
https://www.fisheries.noaa.gov/inport/item/49407
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/geoid18/5087/supplemental/26258_MaineMass_ProjectReport.pdf
WWW:LINK-1.0-http--link
Data report
Data report from the lidar contractor.
download
Geographic Extent:
Central Maine, covering approximately 2,882 total square miles at QL 2.
Western Massachusetts, covering approximately 815 total square miles at QL 1.
Western Massachusetts, covering approximately 2,770 total square miles at QL 2.
Dataset Description:
The Maine and Massachusetts 2015 QL1 and QL2 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at an aggregate nominal pulse spacing (NPS) of 0.7 meters for the 5652 square miles of the QL2 Maine and Massachusetts AOIs, and an NPS of 0.35 meters for the 815 square miles of the QL1 Massachusetts AOI. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zones 18 and 19, meters and vertical datum of NAVD88 (GEOID12A), meters. The application of GEOID12A was subsequently reversed for storage in the Digital Coast Data Access Viewer resulting in ellipsoid heights instead of NAVD88. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to individual 1,500 meter X 1,500 meter tiles for the QL2 data and 750 meter X 750 meter tiles for the QL1 data. Corresponding 1-meter Intensity Image and 1-meter Bare Earth DEM tiles were created with the same tile schema. Breaklines were produced in Esri shapefile format.
Ground Conditions:
Lidar was partially collected in spring of 2015 and completed in winter 2015, 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, Quantum Spatial established a total of 286 Land Cover control points in Maine, 255 Land Cover control points in Massachusetts UTM zone 18 and 29 Land Cover control points in Massachusetts zone 19. These were used to calibrate the LIDAR to known ground locations established throughout the entire dataset as follows:
Maine: 136 calibration control points and 150 QC checkpoints.
Massachusetts zone 18: 122 calibration control points and 133 QC checkpoints
Massachusetts zone 19: 17 calibration control points and 22 QC checkpoints
Original contact information:
Contact Org: National Oceanic and Atmospheric Administration (NOAA)
Title: Coastal Services Center
Phone: (843) 740-1200
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM.
The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) 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.
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
Hydrology
theme
DEMs - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: Maine and Massachusetts 2015 QL1 and QL2 Lidar DEM [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49407.
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: No restrictions apply to this data.
otherRestrictions
Use Constraints: None. However, 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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Acknowledgement of the NOAA Digital Coast would be appreciated for their role in data distribution.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility
of Quantum Spatial, the States of Maine or Massachusetts, USGS, the NOAA Office for Coastal Management, or their partners.
unclassified
Maine and Massachusetts 2015 QL1 and QL2 Lidar
NOAA/NMFS/EDM
49614
crossReference
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49407
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49407.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
grid
1
eng; US
elevation
-73.51978508909
-68.26840969326
41.99331854836
45.3645115939
| Currentness: Ground Condition
2015-04-16
2015-12-05
USGS Contract: G10PC00026 Task Order Number: G15PD00281
CONTRACTOR: Quantum Spatial
Lidar data were acquired and calibrated by Quantum Spatial, Atlantic, and Precision Aerial Reconnaissance.
Follow-on processing was completed by the prime contractor. Processing to ingest this data into the Digital Coast was completed by NOAA.
Supplemental reports can be found at https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5087/supplemental/
Zip
GeoTIFF
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
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5191
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/ME_MA_DEM_2015_5191/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Vertical Positional Accuracy
The specifications require that Nonvegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The vertical accuracy was tested with 84, 73, and 13 independent surveys located in open terrain for Maine, Massachusetts zone 18, and Massachusetts zone 19 respectively. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the project. Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level.
The Raw Non-Vegetated Vertical Accuracy (Raw NVA) for the dataset based on TINs derived from the final calibrated and controlled LiDAR swath data is stated in terms of the RMSEz and the 95% confidence level (RMSEz x 1.96) is listed below . This dataset meets the required NVA of = 19.6 cm at the 95% confidence level (according to the National Standard for Spatial Database Accuracy (NSSDA)).
Mass UTM18: RMSEz = 0.071 m (95% Confidence Level = 0.138 m)
Mass UTM 19: RMSEz = 0.023 m (95% Confidence Level = 0.045 m)
Maine UTM19: RMSEz = 0.039 m (95% Confidence Level = 0.076 m)
The tested Non-Vegetated Vertical Accuracy (NVA) for the dataset captured from the DEM using bi-linear interpolation to derive the DEM elevations is stated in terms of the RMSEz as well as the 95% confidence level (RMSEz x 1.96) are listed in Table 8 below. This dataset meets the required NVA of = 19.6 cm at the 95% confidence level (based on NSSDA). Please note that Point UA02 of the MA 18 AOI was not used in these calculations.
Mass UTM18: RMSEz = 0.070 m (95% Confidence Level = 0.138 m)
Mass UTM 19: RMSEz = 0.026 m (95% Confidence Level = 0.050 m)
Maine UTM19: RMSEz = 0.038 m (95% Confidence Level = 0.075 m)
The tested Vegetated Vertical Accuracy (VVA) for the dataset captured from the DEM using bi-linear interpolation for all classes (including the bare earth class) is stated in terms of the 95th percentile error are listed in Table 9 below. The data meets the required VVA of = 29.4 cm. Please note that points SW05 and SW08 were not used in the MA UTM 18 calculations.
Mass UTM18: RMSEz = 0.155 m (95% Confidence Level = 0.287 m)
Mass UTM 19: RMSEz = 0.064 m (95% Confidence Level = 0.107 m)
Maine UTM19: RMSEz = 0.145 m (95% Confidence Level = 0.286 m)
Completeness Report
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 data passes Nonvegetated Vertical Accuracy specifications. Points with elevation values lower than -40 meters ellipsoid height were removed from the data set.
Conceptual Consistency
Data cover the entire area specified for this project.
Lidar Pre-Processing:
Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file.
2015-01-01T00:00:00
Lidar Post-Processing:
The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area.
All classification tags are stored in the original swath files.
After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project area were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client.
2015-01-01T00:00:00
Classified LAS Processing:
The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is 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 flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. 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 10). 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. All bridge decks were classified to Class 17.
All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was identified using the Overlap Flag, per LAS 1.4 specifications.
All data was 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 All Point Cloud Data and the Bare Earth. Quantum Spatial 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.
2015-01-01T00:00:00
Hydro-Flattened Breakline Creation:
Class 2 LiDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers with a 30 meter nominal width and Inland Ponds and Lakes of 2 acres or greater surface area.
Elevation values were assigned to all Inland Ponds and Lakes, Inland Pond and Lake Islands, Inland Stream and River Islands, using TerraModeler functionality.
Elevation values were assigned to all Inland streams and rivers using Quantum Spatial proprietary software.
All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10).
The breakline files were then translated to Esri file-geodatabase format using Esri conversion tools.
2015-01-01T00:00:00
Hydro Flattened Raster DEM Creation:
Class 2 LiDAR in conjunction with the hydro breaklines were used to create a 1 meter Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.
2015-01-01T00:00:00
Intensity Image Creation:
GeoCue software was used to create the deliverable Intensity Images with a 1 meter cell size. All overlap classes were ignored during this process. This helps to ensure a more aesthetically pleasing image.
The GeoCue software was then used to verify full project coverage as well. TIF/TWF files were then provided as the deliverable for this dataset requirement.
2015-01-01T00:00:00
The NOAA Coastal Services Center (coast) received the DEM files from Maine and Massachusetts via hard drive. The data was received in UTM zones 18 and 19 horizontal coordinates in meters with vertical coordinates referenced to NAVD88 (GEOID12a) in meters. These files were ingested into the Digital Coast Data Access Viewer.
2016-12-01T00:00:00
Data were converted from Imagine format (*.img) to Cloud Optimized GeoTiff format. The georeferencing for the vertical component was added.
2023-10-03T00:00:00
NOAA Office for Coastal Management
(843) 740-1202
coastal.info@noaa.gov
processor
Source Contribution: This data source was used to populate the lidar point cloud data. | Source Geospatial Form: lidar data | Type of Source Media: online
Lidar RAW Data for Maine QL2 2015
2015-01-01
publication
2015-04-26
2015-12-05
Source Contribution: This data source was used to populate the lidar point cloud data. | Source Geospatial Form: lidar data | Type of Source Media: online
Lidar RAW Data for Massachusetts QL1 2015
2015-01-01
publication
2015-04-26
2015-05-14
Source Contribution: This data source was used to populate the lidar point cloud data. | Source Geospatial Form: lidar data | Type of Source Media: online
Lidar RAW Data for Massachusetts QL2 2015
2015-01-01
publication
2015-04-16
2015-05-08
Source Contribution: This data source was used to QC and vertically adjust the lidar point cloud data. | Type of Source Media: online
Survey Report of LiDAR Ground Control and Quality Control Points: Maine
2015-10-20
publication
2015-03-24
2015-04-19
Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data. | Type of Source Media: online
Survey Report of LiDAR Ground Control and Quality Control Points: Maine
2015-10-20
publication
2015-03-24
2015-04-19
Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data. | Type of Source Media: online
Survey Report of LiDAR Ground Control and Quality Control Points: Western Massachusetts
2015-08-26
publication
2015-04-07
2015-07-03
Source Contribution: This data source was used to QC and vertically adjust the lidar point cloud data. | Type of Source Media: online
Survey Report of LiDAR Ground Control and Quality Control Points: Western Massachusetts
2015-08-26
publication
2015-04-07
2015-07-03
otherRestrictions
otherRestrictions
Access Constraints: None. | Use Constraints: None.