2018 - 2019 USGS Lidar: Hudson River Region, NY
OCM Partners
Data Set
(DS)
| ID: 69998
| Published / External
Created: 2023-05-24
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 69998
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
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 |
Revision Date | |
• 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. |
Notes | |
Other Citation Details | |
• 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" } }} |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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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 |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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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 |
None | Columbia County |
None | Jefferson County |
None | Lewis County |
None | Rensselaer County |
None | Saratoga County |
None | Warren County |
None | Washington County |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
None | Geiger |
Platform Keywords
Thesaurus | Keyword |
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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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
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
* » Support Role | Data Steward |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2018 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
Email Address | |
Phone | |
Fax | |
Mobile | |
URL | https://usgs.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
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* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -74.15 |
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* » 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 |
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* » E° Bound | -75.23 |
* » N° Bound | 44.3 |
* » S° Bound | 43.48 |
* » Description |
West AOI (Jefferson and Lewis Counties) |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2018-08-10 |
End | 2019-10-24 |
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Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
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Level of Detail Description |
Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Reference Systems
Reference System
EPSG Code | EPSG:3857 | ||||||||||||||||||||||||||||
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Reference System
EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
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 Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
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 Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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Archive Information
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URLs
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 | 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 |
File Resource Format | |
Description |
Link to the reports, breaklines, metadata, and spatial metadata. |
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 | 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 | 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 | 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 |
File Resource Format | |
Description |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
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Activity Log
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Issues
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Issue |
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Issue |
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
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
L3Harris Horizontal Accuracy Information: Horiz accuracy = 15.6 cm RMSEr |
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 |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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 |
» Quality Control Procedures Employed |
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 |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» Approximate Delay Between Data Collection and Archiving | |
» 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
Citation Title | USGS AWS Entwine Point Tile |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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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 |
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Process Steps
Process Step Number | 1 |
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» 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. |
Process Date/Time | 2020-01-01 00:00:00 |
Process Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» 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 |
Process Date/Time | |
Process Contact | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice) | (843) 740-1202 |
Email Address | coastal.info@noaa.gov |
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Acquisition Information
Instruments
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Catalog Details
Catalog Item ID | 69998 |
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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 Workflow State | Published / External |
Metadata Last Review Date | 2023-05-24 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2024-05-24 |
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