Maine and Massachusetts 2015 QL1 and QL2 Lidar DEM
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49407 | Updated: January 10, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: Maine and Massachusetts 2015 QL1 and QL2 Lidar DEM, https://www.fisheries.noaa.gov/inport/item/49407.
Full Citation Examples
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
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
-
GeoTIFF
Simple download of data files.
No restrictions apply to this data.
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.
Controlled Theme Keywords
elevation
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-73.51978508909° W,
-68.26840969326° E,
45.3645115939° N,
41.99331854836° S
2015-04-16 - 2015-12-05
Item Identification
Title: | Maine and Massachusetts 2015 QL1 and QL2 Lidar DEM |
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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 |
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ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | Hydrology |
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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
Date Effective From: | 2016-12-15 |
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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
Date Effective From: | 2016-12-15 |
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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
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
Date Effective From: | 2016-12-15 |
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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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -73.51978508909 | |
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E° Bound: | -68.26840969326 | |
N° Bound: | 45.3645115939 | |
S° Bound: | 41.99331854836 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2015-04-16 |
End: | 2015-12-05 |
Spatial Information
Spatial Resolution
Horizontal Distance: | 1.0 Meter |
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Spatial Representation
Representations Used
Grid: | Yes |
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Grid Representation 1
Dimension Count: | 2 | ||||
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Cell Geometry: | Point | ||||
Transformation Parameters Available?: | Yes | ||||
Axis Dimension 1 |
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Axis Dimension 2 |
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Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Reference System 3
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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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
Start Date: | 2016 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5191 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2016-12-15 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
File Type (Deprecated): | Zip |
Distribution 2
Start Date: | 2016 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/ME_MA_DEM_2015_5191/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2016-12-15 - Present) |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
File Type (Deprecated): | GeoTIFF |
Distribution Format: | GeoTIFF |
URLs
URL 1
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5087/supplemental/26258_MaineMass_ProjectReport.pdf |
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Name: | Data report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Data report from the lidar contractor. |
Activity Log
Activity Log 1
Activity Date/Time: | 2016-12-06 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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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
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-02-13 |
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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) |
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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
Publish Date: | 2015-01-01 |
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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
Publish Date: | 2015-01-01 |
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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
Publish Date: | 2015-01-01 |
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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
Publish Date: | 2015-10-20 |
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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: Maine
Publish Date: | 2015-10-20 |
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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: Western Massachusetts
Publish Date: | 2015-08-26 |
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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
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
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 2
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 3
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 4
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 5
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 6
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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Source: | Survey Report of LiDAR Ground Control and Quality Control Points: Maine |
Process Step 7
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. |
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Process Date/Time: | 2016-12-01 00:00:00 |
Process Step 8
Description: |
Data were converted from Imagine format (*.img) to Cloud Optimized GeoTiff format. The georeferencing for the vertical component was added. |
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Process Date/Time: | 2023-10-03 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Related Items
Item Type | Relationship Type | Title |
---|---|---|
Data Set (DS) | Cross Reference |
Maine and Massachusetts 2015 QL1 and QL2 Lidar Point cloud source for this DEM |
Catalog Details
Catalog Item ID: | 49407 |
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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: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 18:54+0000 |
Metadata Record Published: | 2024-01-10 |
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 |