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Data Set Info
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Spatial Info
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Distribution Info
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Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

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

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.

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.

Access Constraints:

None

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.

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

Geographic Area 1

-74.79191195° W, -73.48032358° E, 42.19095652° N, 40.99253137° S

Time Frame 1
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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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

CC ID: 1352717
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

CC ID: 1352716
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

CC ID: 1352741
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

CC ID: 1352718
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

CC ID: 1352719
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1352722
W° Bound: -74.79191195
E° Bound: -73.48032358
N° Bound: 42.19095652
S° Bound: 40.99253137

Extent Group 1 / Time Frame 1

CC ID: 1352721
Time Frame Type: Range
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

CC ID: 1352711
Point Object Present?: Yes
Point Object Count: 61830960605

Reference Systems

Reference System 1

CC ID: 1352742

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1352743

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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

CC ID: 1352723
Start Date: 2024-11-13
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

CC ID: 1352724
Start Date: 2024
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

CC ID: 1352714
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

CC ID: 1352900
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_SE4County_1_A22/ept.json
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

CC ID: 1352901
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_SE4County_1_A22%22
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

CC ID: 1352902
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/NY_SouthEast4County_A22/USGS_NY_SouthEast4County_A22_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
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

CC ID: 1352903
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/NY_SouthEast4County_A22/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 6

CC ID: 1352904
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
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

Technical Environment

Description:

Leica HxMap v3.1.0; GeoCue v2020.1.22.2; Windows 10 Operating System

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

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.

Sources

USGS AWS Entwine Point Tile (EPT)

CC ID: 1352905
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

CC ID: 1352707
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.

Process Date/Time: 2022-01-01 00:00:00

Process Step 2

CC ID: 1352708
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.

Process Date/Time: 2023-08-24 00:00:00

Process Step 3

CC ID: 1352709
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.

Process Date/Time: 2023-08-24 00:00:00

Process Step 4

CC ID: 1352906
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.

Process Contact: U.S. Geological Survey

Process Step 5

CC ID: 1352907
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

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