2018 - 2019 USGS Lidar: Hudson River Region, NY
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:69998 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2025: 2018 - 2019 USGS Lidar: Hudson River Region, NY, https://www.fisheries.noaa.gov/inport/item/69998.
Full Citation Examples
These lidar data were processed as classified LAS 1.4 files, formatted to individual 500 m x 500 m tiles; used to create breaklines and hydro-flattened DEMs.
Geographic Extent:
West AOI (Jefferson and Lewis Counties) covering approximately 626 square miles.
East AOI (Columbia, Rensselaer, Saratoga, Warren, and Washington Counties) covering approximately 2,548 square miles.
Dataset Description: This data project was undertaken in 2018 and 2019. This project called for the flight planning, collection, and processing of point cloud products. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. These data were created based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. These LiDAR data were delivered as processed classified LAS 1.4 files compressed to LAZ files.
Ground Conditions: Lidar was collected in 2018 and 2019 in full leaf out conditions. Because of this, a "produced to meet" statement is not provided for Vegetated Vertical Accuracy (VVA).
This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.
Distribution Information
-
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.
-
LAS/LAZ - LASer
Bulk download of data files in LAZ format, in UTM Zone 18N NAD83 (2011), meters coordinates and orthometric heights in meters.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
-74.15° W,
-73.23° E,
43.45° N,
41.97° S
East AOI (Columbia, Rensselaer, Saratoga, Warren, and Washington Counties)
-76.11° W,
-75.23° E,
44.3° N,
43.48° S
West AOI (Jefferson and Lewis Counties)
2018-08-10 - 2019-10-24
Item Identification
Title: | 2018 - 2019 USGS Lidar: Hudson River Region, NY |
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Short Name: | ny2018_hudson_rvr_m9839_metadata |
Status: | Completed |
Creation Date: | 2018 |
Publication Date: | 2021-04-07 |
Abstract: |
These lidar data were processed as classified LAS 1.4 files, formatted to individual 500 m x 500 m tiles; used to create breaklines and hydro-flattened DEMs. Geographic Extent: West AOI (Jefferson and Lewis Counties) covering approximately 626 square miles. East AOI (Columbia, Rensselaer, Saratoga, Warren, and Washington Counties) covering approximately 2,548 square miles. Dataset Description: This data project was undertaken in 2018 and 2019. This project called for the flight planning, collection, and processing of point cloud products. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. These data were created based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. These LiDAR data were delivered as processed classified LAS 1.4 files compressed to LAZ files. Ground Conditions: Lidar was collected in 2018 and 2019 in full leaf out conditions. Because of this, a "produced to meet" statement is not provided for Vegetated Vertical Accuracy (VVA). This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. |
Purpose: |
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. These lidar point cloud data were used to create hydro-flattened DEMs. |
Supplemental Information: |
USGS Contract No. 140G0120C0007 CONTRACTOR: L3Harris. SUBCONTRACTOR: ESP Associates Inc. These LiDAR data were acquired and calibrated by L3Harris. Point cloud classificatoin was completed by the subcontractor. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3", "ldrsens" : "IntelliEarth GmAPD LiDAR", "ldrmaxnr" : "1", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "8", "ldradens" : "8", "ldrfltht" : "4289", "ldrfltsp" : "220", "ldrscana" : "15", "ldrscanr" : "16", "ldrpulsr" : "50", "ldrpulsd" : "0.5", "ldrpulsw" : "(4.5696e-3*altitude)", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "4.57", "ldrswatw" : "2298", "ldrswato" : "55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B", "ldrcrs" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : {
"ldrchacc" : "0.30", "rawnva" : "0.142", "rawnvan" : "1634", "clsnva" : "0.142", "clsnvan" : "1634" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Standard LAS overlap bit not used due to 55 percent overlap project design", "lasintr" : "5", "lasclass" : {
"clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare Earth Ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Noise, Low" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" } }} |
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 > NEW YORK
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
UNCONTROLLED | |
None | Columbia County |
None | Jefferson County |
None | Lewis County |
None | Rensselaer County |
None | Saratoga County |
None | Warren County |
None | Washington County |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
UNCONTROLLED | |
None | Geiger |
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: | Harris Corporation, performed data collection and data processing for this project. A subcontractor was utilized for manual classification and hydro breakline collection tasks., USGS |
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 |
Distributor
Date Effective From: | 2018 |
---|---|
Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
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: | -74.15 | |
---|---|---|
E° Bound: | -73.23 | |
N° Bound: | 43.45 | |
S° Bound: | 41.97 | |
Description |
East AOI (Columbia, Rensselaer, Saratoga, Warren, and Washington Counties) |
Extent Group 1 / Geographic Area 2
W° Bound: | -76.11 | |
---|---|---|
E° Bound: | -75.23 | |
N° Bound: | 44.3 | |
S° Bound: | 43.48 | |
Description |
West AOI (Jefferson and Lewis Counties) |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
---|---|
Start: | 2018-08-10 |
End: | 2019-10-24 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
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 and 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: | 2023-05-24 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9839/details/9839 |
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. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2023-05-24 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NY_HudsonRiverRegion_2020_A20/NY_HudsonRiverRegion_1_2020/LAZ/ |
Distributor: | U.S. Geological Survey (2018 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, in UTM Zone 18N NAD83 (2011), meters coordinates and orthometric heights in meters. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_HudsonRiverRegion_2020_A20/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 3
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_HudsonRiverRegion_2020_A20/USGS_NY_HudsonRiverRegion_2020_A20_Project_Report.pdf |
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Name: | USGS Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
URL 4
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_HudsonRiverRegion_2020_A20/NY_HudsonRiverRegion_1_2020/reports/L3Harris_USGS_NY_Acquisition_Report.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the L3Harris acquisition report. |
URL 5
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_HudsonRiverRegion_1_2020/ept.json |
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Name: | USGS Entwine Point Tile (EPT) |
URL Type: |
Online Resource
|
File Resource Format: | json |
Description: |
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. |
URL 6
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_HudsonRiverRegion_1_2020%22 |
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Name: | USGS 3D View |
URL Type: |
Online Resource
|
Description: |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
Technical Environment
Description: |
MicroStation Connect Version 10.11; TerraScan Version 19.003; ESRI ArcGIS 10.4.1, Windows 7 Operating System, ESP Analyst, ESP Utilities |
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Data Quality
Horizontal Positional Accuracy: |
L3Harris Horizontal Accuracy Information: Horiz accuracy = 15.6 cm RMSEr |
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Vertical Positional Accuracy: |
L3Harris Vertical Accuracy Information: The project specifications require that Non-Vegetated Vertical Accuracy (NVA) and Vegetated Vertical Accuracy (VVA) be computed for calibrated and classified lidar point cloud files. The required accuracy (ACCz) is: 18.13 cm at a 95% confidence level for NVA, derived according to NSSDA, i.e., based on RMSE (z) of 9.25 cm in the bare earth and urban land cover classes. The NVA was tested with 1464 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 18.13 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class equating to NVA =+/- 19.6cm at 95% confidence level. The lidar point cloud was collected during leaf-out conditions with areas of vegetation considered as obscured, therefore no implied or stated accuracy is provided for VVA. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 12 cm at 95% Confidence Level or 6.1 cm RMSE Vegetated Vertical Accuracy (VVA) = 14 cm at 95th Percentile |
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 point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
All data covers the project area, tile to tile with no gaps or no data areas exceeding specifications |
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-CO |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to tape and to cloud storage. |
Lineage
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) files 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. |
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Sources
USGS AWS Entwine Point Tile
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/NY_HudsonRiverRegion_1_2020/ept.json |
Citation URL Name: | Entwine Point Tile for NY_HudsonRiverRegion_1_2020 |
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 and edited using TIN visualization and profiles to ensure correct classification on the Class 2 (Ground) points as well as the other classifications required by NCEM. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization in a 3D environment for all rivers equal to or larger than 100 feet in width and all closed water bodies equal to or greater than 2 acres. Island equal or greater than 1 acre are mapped are included. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were classified to water (Class 9) A buffer of 1 foot was also used around each hydro-flattened feature to classify ground (Class 2) points within the buffer to breakline proximity (Class 10). All Lake Pond Island and Double Line Drain Island features were reviewed and checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. Overlap data was not processed as Geiger mode LiDAR is flown at a 55 percent overlap with a Palmer scanner. All data was manually reviewed and any remaining artifacts in the ground (Class 2) removed. |
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Process Date/Time: | 2020-01-01 00:00:00 |
Process Step 2
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) file that was 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/NY_HudsonRiverRegion_1_2020/ept.json |
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Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Catalog Details
Catalog Item ID: | 69998 |
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GUID: | gov.noaa.nmfs.inport:69998 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2023-05-24 18:58+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2023-05-24 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2023-05-24 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2024-05-24 |