2015 NYS ITS Lidar: Madison and Ostego Counties, NY
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:70221 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2015 NYS ITS Lidar: Madison and Ostego Counties, NY, https://www.fisheries.noaa.gov/inport/item/70221.
Full Citation Examples
This data set consists of LiDAR Point Cloud data that covers approximately 1,844 square miles in Madison and Ostego Counties in New York. Each classified LAS tile contains LiDAR point information, which has been calibrated, controlled, and classified.
Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off
How the Withheld Points are Identified: There were no Withheld (ignore) points identified in the files using the standard LAS Withheld bit.
Class Code:1
Class Item: Undetermined/Unclassified
Class Code:2
Class Item: Ground
Class Code:7
Class Item:Low Point (Noise)
Class Code:9
Class Item:Water
Class Code:10
Class Item:Ignore Ground
Class Code:17
Class Item:Bridge Deck
Class Code:18
Class Item:High Noise
Points with extreme elevations (negative values, or positive values well above the expected maximum) are present in this dataset. These points are classified as low or high noise in classified point cloud tiles.
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
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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.
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LAS/LAZ - LASer
Bulk download of data files in LAZ format, UTM Zone 18N NAD83(2011), meters coordinates and NAVD88 (Geoid12A) elevations 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
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
-75.9844° W,
-74.6221° E,
43.1865° N,
42.4072° S
2015-04-16 - 2015-06-07
Item Identification
Title: | 2015 NYS ITS Lidar: Madison and Ostego Counties, NY |
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Short Name: | ny2015_mad_ost_m9854_metadata |
Status: | Completed |
Creation Date: | 2015 |
Abstract: |
This data set consists of LiDAR Point Cloud data that covers approximately 1,844 square miles in Madison and Ostego Counties in New York. Each classified LAS tile contains LiDAR point information, which has been calibrated, controlled, and classified. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: There were no Withheld (ignore) points identified in the files using the standard LAS Withheld bit. Class Code:1 Class Item: Undetermined/Unclassified Class Code:2 Class Item: Ground Class Code:7 Class Item:Low Point (Noise) Class Code:9 Class Item:Water Class Code:10 Class Item:Ignore Ground Class Code:17 Class Item:Bridge Deck Class Code:18 Class Item:High Noise Points with extreme elevations (negative values, or positive values well above the expected maximum) are present in this dataset. These points are classified as low or high noise in classified point cloud tiles. 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: |
The State of New York has contracted Axis GeoSpatial, LLC to obtain professional services related to the collection of Light Detection and Ranging (LiDAR) data between December 2015 and March 2016. The purpose of these lidar data was to produce high accuracy 3D Digital Elevation Model (DEM) with a 1.0 meter cell size. The raw lidar point cloud data were used to create classified lidar LAS files, and Bare Earth DEMs as necessary. |
Supplemental Information: |
All Lidar data was acquired, calibrated, and used in the creation of Lidar derived products by Axis GeoSpatial, LLC. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Trimble Harrier 68i; Optech Gemini", "ldrmaxnr" : "7; 7", "ldrnps" : ".69; .68", "ldrdens" : "2.07; 2.18", "ldranps" : ".69; .68", "ldradens" : "2.07; 2.18", "ldrfltht" : "718; 700", "ldrfltsp" : "120-125; 150-160", "ldrscana" : "60; 15.6", "ldrscanr" : "90.7; 60.8", "ldrpulsr" : "200; 70", "ldrpulsd" : "4, 4", "ldrpulsw" : ".44; .67", "ldrwavel" : "1047; 1047", "ldrmpia" : "1; 1", "ldrbmdiv" : ".5; .25", "ldrswatw" : "1020.76; 390.36", "ldrswato" : "30; 30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A" }, "ldraccur" : {
"ldrchacc" : "0.196", "rawnva" : "0.058", "rawnvan" : "373", "clsnva" : "0.046", "clsnvan" : "373", "clsvva" : "0.073", "clsvvan" : "381" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withhled (ignore) points were identified in the 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" : "Undetermined/Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "10", "clasitem" : "Ignored Ground (near a breakline)" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Deck" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN 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
|
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: | As Needed |
Data Presentation Form: | Model (digital) |
Entity Attribute Detail Citation: |
Overall Project Metadata |
Distribution Liability: |
The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. 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: | New York Office of Information Technology Services |
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 |
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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: | 2015 |
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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 |
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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 |
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: | -75.9844 | |
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E° Bound: | -74.6221 | |
N° Bound: | 43.1865 | |
S° Bound: | 42.4072 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2015-04-16 |
End: | 2015-06-07 |
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: | 2023-06-29 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9854/details/9854 |
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: | 2015 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/Central_NY_Madison_Otsego_Counties_Lidar/NY_MadisonOtsegoCo_2015/LAZ/ |
Distributor: | U.S. Geological Survey (2015 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, UTM Zone 18N NAD83(2011), meters coordinates and NAVD88 (Geoid12A) elevations 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/Central_NY_Madison_Otsego_Counties_Lidar/NY_MadisonOtsegoCo_2015/reports/NY15%20Madison%20Otsego%20LiDAR%20Processing%20Report.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the Axis Geospatial, LLC lidar report. |
URL 3
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/Central_NY_Madison_Otsego_Counties_Lidar/NY_MadisonOtsegoCo_2015/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 4
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_NY_MadisonOtsegoCo_2015_LAS_2017%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. |
URL 5
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_NY_MadisonOtsegoCo_2015_LAS_2017/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. |
Technical Environment
Description: |
Inpho-5.5.1; Terrascan 2015 015.006; Terramatch 2015 015.009; Terramodeler 2015 015.002; Windows 7 Operating System |
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Data Quality
Horizontal Positional Accuracy: |
Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.005 degrees at an altitude of 549 m; the expected radial horizontal positional error will be RMSEr = 9.92 cm |
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Vertical Positional Accuracy: |
Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data. Seven hundred sixty-one (761) surveyed points were measured for the purpose of assessing the accuracy of the New York AOI data, but 4 of the NVA points were on bridges and were eliminated. This left seven hundred fifty-seven (757) points (376 NVA, 381 VVA) for vertical accuracy assessment. This data set was tested on 376 NVA checkpoints to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy of the bare-earth was found to be RMSEz = 0.047 m, equating to +/- 0.092 m at 95% confidence level. This data set was tested on 381 VVA checkpoints to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be RMSEz = 0.073 m, equating to +/- 0.143 m at 95% confidence level. |
Completeness Report: |
The raw LAS data files included 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 Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. |
Conceptual Consistency: |
All LiDAR data and LiDAR Derived data covers the entire 1,844 square mile Area of Interest with in New York. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. 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-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) file 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 (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_NY_MadisonOtsegoCo_2015_LAS_2017/ept.json |
Citation URL Name: | Entwine Point Tile for USGS_LPC_NY_MadisonOtsegoCo_2015_LAS_2017 |
Process Steps
Process Step 1
Description: |
Aerial LiDAR Acquisition: Aerial data collection was acquired in twenty-seven (27) missions. Seven (7) missions were flown using the Trimble-Harrier 68i LiDAR system at a max flying height of 884m AGL. Twenty missions (20) were flown with Optech GEMINI LiDAR system at a max flying height of 700m AGL. This was to support a 2.18 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by POS/AV 510 for both sensors. Data acquisition was completed on June 7th 2015. Ground Control Survey: A survey was performed by Axis GeoSpatial, LLC to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of seven hundred sixty-one (761) check points, of which 757 were used in the final accuracy analysis (376 NVA + 381 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, and High Grass. |
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Process Date/Time: | 2015-04-16 00:00:00 |
Process Step 2
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 process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data was then block adjusted to match surveyed calibration control. Raw data NVA was checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file. |
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Process Date/Time: | 2015-06-06 00:00:00 |
Process Step 3
Description: |
Initial processing of the GPS data was processed using POSPAC MMS 7.2. The solution file was generated and LpMaster software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points |
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Process Date/Time: | 2015-06-06 00:00:00 |
Process Step 4
Description: |
LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid 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. 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 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: | 2015-07-30 00:00:00 |
Process Step 5
Description: |
LiDAR Classification: The calibrated LiDAR data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-ignored ground, 17-bridges, and 18-high noise. |
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Process Date/Time: | 2015-10-01 00:00:00 |
Process Step 6
Description: |
Original point clouds in LAS/LAZ format were restructured as an Entwine Point Tile and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical elevations in NAVD88 (GEOID12A). |
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Process Contact: | U.S. Geological Survey |
Process Step 7
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/USGS_LPC_NY_MadisonOtsegoCo_2015_LAS_2017/ept.json |
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Process Date/Time: | 2023-06-29 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 70221 |
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GUID: | gov.noaa.nmfs.inport:70221 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2023-06-29 18:02+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2023-06-29 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2023-06-29 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2024-06-29 |