2022 NYS ITS Lidar: 4 County (Dutchess, Orange, Rockland, Ulster), NY
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:73811 | Updated: November 14, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2025: 2022 NYS ITS Lidar: 4 County (Dutchess, Orange, Rockland, Ulster), NY, https://www.fisheries.noaa.gov/inport/item/73811.
Full Citation Examples
Original Dataset Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3694 individual 1500 m x 1500 m tiles; used to create intensity rasters, 3D breaklines and hydro-flattened DEMs as necessary.
Original Dataset Geographic Extent: Dutchess, Orange, Rockland, and Ulster Counties counties, New York, covering approximately 3212 square miles.
Original Dataset Description: The 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 v2021, Rev. A. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 3694 individual 1500 m x 1500 m tiles, as tiled Intensity Rasters, and as tiled bare-earth DEMs; all tiled to the same 1500 m x 1500 m schema.
Original Dataset Ground Conditions: Lidar was collected in early 2022, 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, Sanborn Map Company, Inc., established a total of 37 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 160 independent accuracy checkpoints, 91 in Bare Earth and Urban landcovers (91 NVA points), 69 in Tall Grass and Brushland/Low Trees categories (69 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. Sanborn has identified the issue with orthogonal intersecting lines in the SSI. This issue is caused by the proprietary sensor software misattribution to a selection of last-returns outlining the lidar processing blocks, particularly in highly vegetated areas. Sanborn has confirmed there is no impact to the spatial accuracy of the points, nor to the minimum classification schemes in the applicable USGS specification. This issue is only visible when the last return value is acknowledged in an export, such as SSI.
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
-
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.
-
LAS/LAZ - LASer
Bulk download of data files in LAZ format, UTM Zone 18N NAD83(2011), meters coordinates and elevations in NAVD88 (Geoid18) 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.
Acknowledgement of New York Office of Information Technology Services (NYS ITS) would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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.
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
-74.79191195° W,
-73.48032358° E,
42.19095652° N,
40.99253137° S
2022-04-14 - 2022-04-30
Item Identification
Title: | 2022 NYS ITS Lidar: 4 County (Dutchess, Orange, Rockland, Ulster), NY |
---|---|
Short Name: | ny2022_4county_m10206_metadata |
Status: | Completed |
Creation Date: | 2022 |
Publication Date: | 2024 |
Abstract: |
Original Dataset Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3694 individual 1500 m x 1500 m tiles; used to create intensity rasters, 3D breaklines and hydro-flattened DEMs as necessary. Original Dataset Geographic Extent: Dutchess, Orange, Rockland, and Ulster Counties counties, New York, covering approximately 3212 square miles. Original Dataset Description: The 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 v2021, Rev. A. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 3694 individual 1500 m x 1500 m tiles, as tiled Intensity Rasters, and as tiled bare-earth DEMs; all tiled to the same 1500 m x 1500 m schema. Original Dataset Ground Conditions: Lidar was collected in early 2022, 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, Sanborn Map Company, Inc., established a total of 37 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 160 independent accuracy checkpoints, 91 in Bare Earth and Urban landcovers (91 NVA points), 69 in Tall Grass and Brushland/Low Trees categories (69 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. Sanborn has identified the issue with orthogonal intersecting lines in the SSI. This issue is caused by the proprietary sensor software misattribution to a selection of last-returns outlining the lidar processing blocks, particularly in highly vegetated areas. Sanborn has confirmed there is no impact to the spatial accuracy of the points, nor to the minimum classification schemes in the applicable USGS specification. This issue is only visible when the last return value is acknowledged in an export, such as SSI. 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 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 lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. |
Supplemental Information: |
USGS Contract No. G22AC00442 CONTRACTOR: New York Office of Information Technology Services. SUBCONTRACTOR: Sanborn Map Company, Inc. Lidar data were acquired and calibrated by Sanborn Map Company, Inc. All follow-on processing was completed by the prime contractor. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v2021, Rev. A", "ldrsens" : "Leica TerrainMapper", "ldrmaxnr" : "15", "ldrnps" : "0.66", "ldrdens" : "2.2", "ldranps" : "0.57", "ldradens" : "3.1", "ldrfltht" : "3308", "ldrfltsp" : "160", "ldrscana" : "40", "ldrscanr" : "150.0", "ldrpulsr" : "720.0", "ldrpulsd" : "4", "ldrpulsw" : "0.77", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "2408", "ldrswato" : "20", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid18" }, "ldraccur" : {
"ldrchacc" : "0.5", "rawnva" : "0", "rawnvan" : "0" }, "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 not identified in these files using the standard LAS overlap bit.", "lasintr" : "11", "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" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "21", "clasitem" : "Snow" }, "lasclass" : {
"clascode" : "22", "clasitem" : "Temporal Exclusion" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
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: | 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: | New York Office of Information Technology Services (NYS ITS) |
Support Roles
Data Steward
Date Effective From: | 2024 |
---|---|
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: | 2024 |
---|---|
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: | 2024 |
---|---|
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: | 2024 |
---|---|
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: | 2024 |
---|---|
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: | -74.79191195 | |
---|---|---|
E° Bound: | -73.48032358 | |
N° Bound: | 42.19095652 | |
S° Bound: | 40.99253137 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2022-04-14 |
End: | 2022-04-30 |
Spatial Information
Spatial Resolution
Horizontal Distance: | 0.57 Meter |
---|
Spatial Representation
Representations Used
Grid: | No |
---|---|
Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
---|---|
Point Object Count: | 61830960605 |
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. Acknowledgement of New York Office of Information Technology Services (NYS ITS) would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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. |
Distribution Information
Distribution 1
Start Date: | 2024-11-13 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10206/details/10206 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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 |
Distribution 2
Start Date: | 2024 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NY_SouthEast4County_A22/NY_SE4County_1_A22/LAZ/ |
Distributor: | U.S. Geological Survey (2024 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, UTM Zone 18N NAD83(2011), meters coordinates and elevations in NAVD88 (Geoid18) meters. |
Distribution Format: | LAS/LAZ - LASer |
Compression: | LAZ |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer/ |
---|---|
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://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_SE4County_1_A22/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 3
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_SE4County_1_A22%22 |
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Name: | 3D View (Potree USGS) |
URL Type: |
Online Resource
|
Description: |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
URL 4
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/NY_SouthEast4County_A22/USGS_NY_SouthEast4County_A22_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 5
URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/NY_SouthEast4County_A22/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 6
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/NY_SouthEast4County_A22/NY_SE4County_1_A22/reports/lidar_mapping_report/312022452_NYSDOP_Lidar_2022_LidarProcessingReport_20240122.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the lidar report. |
Technical Environment
Description: |
Leica HxMap v3.1.0; GeoCue v2020.1.22.2; Windows 10 Operating System |
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Data Quality
Vertical Positional Accuracy: |
This data set was tested to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 6.75 cm RMSE Vegetated Vertical Accuracy (VVA) = 18.48 cm at the 95th Percentile |
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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. Data voids may be present where surface is of low near infrared reflectivity, such as asphalt or composition roofing. These data dropouts were observed on building rooftops in the project area. Extreme positive and negative Z values may exist within the lidar point cloud; these points are classified as Class 7 (Low Noise) and/or Class 18 (High Noise). Partially elevated waterbodies may be present where use of Class 20 (Ignored Ground) next to the hydro breaklines has eliminated ground points on a small berm or raised bank. The raw point cloud is of good quality and data passes Non-vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
Data covers the entire area specified for this project. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
---|---|
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
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) 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 |
---|---|
Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_SE4County_1_A22/ept.json |
Citation URL Name: | Entwine Point Tile |
Process Steps
Process Step 1
Description: |
The boresight was completed prior to project execution. The following steps describe the Raw Data Processing process: 1) Technicians processed the raw data to LAS format flight lines using the final GNSS/IMU solution. This LAS data set was used as source data for lidar matching. 2) Technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 3) Once all lifts were completed with lidar matching, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSEz or within swath overlap (between adjacent swaths). 4) The technicians ran a final vertical accuracy check of the flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification v2.1, and breaklines were collected for water features. Bare-earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. |
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Process Date/Time: | 2022-01-01 00:00:00 |
Process Step 2
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 Class 2 (Ground) lidar data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Class 9 (Water) using LP360 functionality. A buffer of 0.5 meters was also used around each hydro-flattened feature to classify these Class 2 (Ground) points to Class 20 (Ignored Ground). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the Class 2 (Ground) points were reclassified to the correct classification after the automated classification was completed. 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 LP360, 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. Sanborn Map Company, 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: | 2023-08-24 00:00:00 |
Process Step 3
Description: |
Data was tested at 0.57 meter nominal pulse spacing and at 3.1 points per meter. The nominal pulse spacing was tested on raw LAS using geometrically reliable first-return points. NPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors. |
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Process Date/Time: | 2023-08-24 00:00:00 |
Process Step 4
Description: |
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and and the vertical units of meters (NAVD88 GEOID18) were retained. |
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Process Contact: | U.S. Geological Survey |
Process Step 5
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) 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_SE4County_1_A22/ept.json |
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Process Date/Time: | 2024-11-13 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
---|---|---|
Data Set (DS) | Cross Reference |
2022 NYS ITS Lidar DEM: 4 County (Dutchess, Orange, Rockland, Ulster), NY |
Catalog Details
Catalog Item ID: | 73811 |
---|---|
GUID: | gov.noaa.nmfs.inport:73811 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2024-11-13 21:30+0000 |
Metadata Record Last Modified By: | Rebecca Mataosky |
Metadata Record Last Modified: | 2024-11-14 20:16+0000 |
Metadata Record Published: | 2024-11-14 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2024-11-14 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2025-11-14 |