2016 USGS QL2 Lidar: Connecticut River Basin, VT
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:71711 | Updated: December 22, 2023 | Published / External
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Summary
Short Citation
OCM Partners, 2025: 2016 USGS QL2 Lidar: Connecticut River Basin, VT, https://www.fisheries.noaa.gov/inport/item/71711.
Full Citation Examples
Product: These lidar data are processed classified LAS 1.4 files, formatted to 4,149 individual 1,400-meter x 1,400-meter tiles and converted to Entwine Point Tiles format.
Geographic Extent: Several counties within the Connecticut River Basin in northeastern Vermont, covering approximately 2,858 square miles.
Dataset Description: The Connecticut River Basin, Vermont 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. 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) State Plane Vermont, meters and vertical datum of NAVD88 (Geoid 12B), meters. The data was reprojected to Web Mercator (EPSG:3857) when converting to Entwine Point Tile format.
Ground Conditions: Lidar was collected in Fall 2016, 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, Quantum Spatial, Inc. established a total of 57 ground control points that were used to calibrate the lidar to known ground locations established throughout the Connecticut River Basin, VT project area. An additional 149 independent accuracy checkpoints, 84 in Bare Earth and Urban landcovers (84 NVA points), 65 in Forested, Shrubs, and 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.
NOAA produced this metadata, from the original USGS metadata, to support use by the Digtial Coast Data Access Viewer. Descrepancies were noted regarding the original projection units. However, the Entwine Point Tile data being leveraged in Web Mercator projection is in meters.
Distribution Information
-
Format: Not Applicable
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.
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.
Controlled Theme Keywords
COASTAL ELEVATION, elevation, TERRAIN 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
-72.88240769711° W,
-71.45461878464° E,
45.0186791333° N,
43.10436480623° S
2016-11-01 - 2016-11-19
Item Identification
Title: | 2016 USGS QL2 Lidar: Connecticut River Basin, VT |
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Short Name: | 2016 CT river m10014 |
Status: | Completed |
Publication Date: | 2017-10-13 |
Abstract: |
Product: These lidar data are processed classified LAS 1.4 files, formatted to 4,149 individual 1,400-meter x 1,400-meter tiles and converted to Entwine Point Tiles format. Geographic Extent: Several counties within the Connecticut River Basin in northeastern Vermont, covering approximately 2,858 square miles. Dataset Description: The Connecticut River Basin, Vermont 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. 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) State Plane Vermont, meters and vertical datum of NAVD88 (Geoid 12B), meters. The data was reprojected to Web Mercator (EPSG:3857) when converting to Entwine Point Tile format. Ground Conditions: Lidar was collected in Fall 2016, 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, Quantum Spatial, Inc. established a total of 57 ground control points that were used to calibrate the lidar to known ground locations established throughout the Connecticut River Basin, VT project area. An additional 149 independent accuracy checkpoints, 84 in Bare Earth and Urban landcovers (84 NVA points), 65 in Forested, Shrubs, and 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.
NOAA produced this metadata, from the original USGS metadata, to support use by the Digtial Coast Data Access Viewer. Descrepancies were noted regarding the original projection units. However, the Entwine Point Tile data being leveraged in Web Mercator projection is in meters. |
Purpose: |
This high resolution lidar data will support the state of Vermont and local governments in their efforts regarding activities in the identified area. 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 0.7-meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened and hydro-enforced DEMs, digital surface models, and contours as necessary. |
Supplemental Information: |
USGS Contract No. G16PC00016 CONTRACTOR: Quantum Spatial, Inc. Lidar data were acquired by Quantum Spatial, Inc. All follow-on processing was completed by the prime contractor. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Leica ALS", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldrdens" : "2.14", "ldranps" : "0.68", "ldradens" : "2.14", "ldrfltht" : "2000", "ldrfltsp" : "170", "ldrscana" : "20.0", "ldrscanr" : "53.4", "ldrpulsr" : "273.0", "ldrpulsd" : "9", "ldrpulsw" : "8", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1455.88", "ldrswato" : "12.49", "ldrgeoid" : "GEOID12B", "ldrcrs" : "NAD 1983 (2011) State Plane Vermont US Survey Feet" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0.088", "rawnvan" : "82" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit", "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" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "13", "clasitem" : "Removed points for hydro enforcement" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High noise" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > VERMONT
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
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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Data Set Type: | Elevation |
Maintenance Frequency: | None Planned |
Data Presentation Form: | Model (digital) |
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 |
Data Set Credit: | USGS; Quantum Spatial |
Support Roles
Data Steward
Date Effective From: | 2023 |
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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: | 2023 |
---|---|
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: | 2023 |
---|---|
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: | 2023 |
---|---|
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: | -72.88240769711 | |
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E° Bound: | -71.45461878464 | |
N° Bound: | 45.0186791333 | |
S° Bound: | 43.10436480623 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2016-11-01 |
End: | 2016-11-19 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 49190976138 |
Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for bulk or custom downloads |
Data Access Constraints: |
None |
Data 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. |
Distribution Information
Distribution 1
Start Date: | 2023-12-22 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10014/details/10014 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present) |
File Name: | Customized Download |
Description: |
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. |
Distribution Format: | Not Applicable |
Compression: | Zip |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer/ |
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Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
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. |
URL 2
URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/VT_Connecticut_River_Basin_LiDAR_2016_B16/VT_Connecticut-River_2016/ |
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Name: | Reports and ancillary information |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Report and ancillary information from the original data submission. |
Data Quality
Vertical Positional Accuracy: |
An RMSEz = 0.045 meters was found using 82 RTK GPS validation points. |
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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 data passes Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
Data cover the entire area specified for this project. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
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Approximate Percentage of Budget for these Data Devoted to Data Management: | Unknown |
Do these Data Comply with the Data Access Directive?: | Yes |
Actual or Planned Long-Term Data Archive Location: | NCEI-NC |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to cloud storage. |
Lineage
Sources
Connecticut River, VT EPT
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_VT_Connecticut_River_2016_LAS_2018/ept.json |
Citation URL Name: | EPT format data |
Citation URL Description: |
Connecticut River lidar data in EPT format |
Source Contribution: |
Data leveraged by the Data Access Viewer to create custom products. |
Process Steps
Process Step 1
Description: |
LAS Point Classification: The point classification is performed as described below. 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-flattened 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 classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us 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, 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. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 2
Description: |
USGS created Entwine Point Tiles (EPT) format data in Web Mercator projection from the original LAS files. NOAA ingested the references to the EPT data to support access through the Digital Coast Data Access Viewer. |
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Process Date/Time: | 2023-12-22 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Source: | Connecticut River, VT EPT |
Catalog Details
Catalog Item ID: | 71711 |
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GUID: | gov.noaa.nmfs.inport:71711 |
Metadata Record Created By: | Kirk Waters |
Metadata Record Created: | 2023-12-22 13:47+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2023-12-22 15:24+0000 |
Metadata Record Published: | 2023-12-22 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2023-12-22 |
Metadata Review Frequency: | 3 Years |
Metadata Next Review Date: | 2026-12-22 |