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Short Citation:
OCM Partners, 2023: Maine and Massachusetts 2015 QL1 and QL2 Lidar, https://www.fisheries.noaa.gov/inport/item/49407.

Item Identification

Title: Maine and Massachusetts 2015 QL1 and QL2 Lidar
Short Name: 2015_ME_MA_lidar_DEM_m5191_metadata
Status: Completed
Publication Date: 2016-12-15
Abstract:

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

Purpose:

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.

Notes:

12067

Supplemental Information:

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/

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Hydrology

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: Lidar point cloud
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.

Support Roles

Data Steward

CC ID: 660931
Date Effective From: 2016-12-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 660933
Date Effective From: 2016-12-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 660934
Date Effective From: 2016-12-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 660932
Date Effective From: 2016-12-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1150102
W° Bound: -73.51978508909
E° Bound: -68.26840969326
N° Bound: 45.3645115939
S° Bound: 41.99331854836

Extent Group 1 / Time Frame 1

CC ID: 1150101
Time Frame Type: Range
Start: 2015-04-16
End: 2015-12-05

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 660923
Dimension Count: 2
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 1500

Axis Dimension 2

Dimension Type: Column
Size: 1500

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:

https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5191

The point cloud for this data can be obtained on-line at:

https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5087

;

Data Access Constraints:

No restrictions apply to this data.

Data 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.

Metadata Access Constraints:

None.

Metadata Use Constraints:

None.

Distribution Information

Distribution 1

CC ID: 720715
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5191
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 720716
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/ME_MA_DEM_2015_5191
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 720718
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 720719
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 660947
Activity Date/Time: 2016-12-06
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 660946
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718072
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 720717
Activity Date/Time: 2018-02-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

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.

Lineage

Sources

Lidar RAW Data for Maine QL2 2015

CC ID: 1150084
Publish Date: 2015-01-01
Extent Type: Range
Extent Start Date/Time: 2015-04-26
Extent End Date/Time: 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

CC ID: 1150085
Publish Date: 2015-01-01
Extent Type: Range
Extent Start Date/Time: 2015-04-26
Extent End Date/Time: 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

CC ID: 1150086
Publish Date: 2015-01-01
Extent Type: Range
Extent Start Date/Time: 2015-04-16
Extent End Date/Time: 2015-05-08
Source Contribution:

This data source was used to populate the lidar point cloud data. | Source Geospatial Form: lidar data | Type of Source Media: online

Survey Report of LiDAR Ground Control and Quality Control Points: Maine

CC ID: 1150087
Publish Date: 2015-10-20
Extent Type: Range
Extent Start Date/Time: 2015-03-24
Extent End Date/Time: 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

CC ID: 1150088
Publish Date: 2015-10-20
Extent Type: Range
Extent Start Date/Time: 2015-03-24
Extent End Date/Time: 2015-04-19
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

CC ID: 1150089
Publish Date: 2015-08-26
Extent Type: Range
Extent Start Date/Time: 2015-04-07
Extent End Date/Time: 2015-07-03
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

CC ID: 1150090
Publish Date: 2015-08-26
Extent Type: Range
Extent Start Date/Time: 2015-04-07
Extent End Date/Time: 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

Process Steps

Process Step 1

CC ID: 1150091
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 2

CC ID: 1150092
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 3

CC ID: 1150093
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 4

CC ID: 1150094
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 5

CC ID: 1150095
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 6

CC ID: 1150096
Description:

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.

Process Date/Time: 2015-01-01 00:00:00
Source: Survey Report of LiDAR Ground Control and Quality Control Points: Maine

Process Step 7

CC ID: 1150097
Description:

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.

Process Date/Time: 2016-12-01 00:00:00

Catalog Details

Catalog Item ID: 49407
GUID: gov.noaa.nmfs.inport:49407
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:12+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16