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Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Short Citation
OCM Partners, 2026: 2020 NYS ITS Lidar DEM: Finger Lakes, NY, https://www.fisheries.noaa.gov/inport/item/79563.
Full Citation Examples

Abstract

Product: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.

Geographic Extent: Schuyler, Seneca, Steuben, Tompkins, Wayne and Yates counties, New York, covering approximately 1945 square miles.

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, Version 2.1.The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 2239 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.

Ground Conditions: Lidar was collected in early 2020, 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 25 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area.An additional 131 independent accuracy checkpoints, 73 in Bare Earth and Urban landcovers (73 NVA points), 58 in Tall Grass and Brushland/Low Trees categories (58 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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 GeoTIFF files 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.

Data Access & Downloads

  • Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

  • GeoTIFF

    Bulk download of data files in GeoTIFF format, based on a horizontal datum/projection of UTM Zone 18, NAD83(2011), meters (EPSG: 6347) and a vertical datum of NAVD88 (GEOID12B) and units in meters (EPSG: 5703).

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.

Controlled Theme Keywords

DIGITAL ELEVATION/TERRAIN MODEL (DEM), elevation, TERRAIN ELEVATION

URLs

  • 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.

  • Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

  • This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information.

  • 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.

  • Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines.

  • Link to the lidar acquisition report.

  • Link to the lidar processing report.

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

-77.388087° W, -76.24336° E, 43.231806° N, 42.232908° S

Time Frame 1
2020-05-02 - 2020-05-14

Item Identification

Title: 2020 NYS ITS Lidar DEM: Finger Lakes, NY
Short Name: ny2020_finger_lakes_dem_m14078
Status: Completed
Creation Date: 2020
Publication Date: 2026
Abstract:

Product: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.

Geographic Extent: Schuyler, Seneca, Steuben, Tompkins, Wayne and Yates counties, New York, covering approximately 1945 square miles.

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, Version 2.1.The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 2239 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.

Ground Conditions: Lidar was collected in early 2020, 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 25 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area.An additional 131 independent accuracy checkpoints, 73 in Bare Earth and Urban landcovers (73 NVA points), 58 in Tall Grass and Brushland/Low Trees categories (58 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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 GeoTIFF files 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:

Raster File Type = TIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 1 Meter Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA

Keywords

Theme Keywords

Theme Keywords
Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
ISO 19115 Topic Category
elevation

Spatial Keywords

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

Instrument Keywords
Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

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: Unknown
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

Support Roles

Data Steward

CC ID: 1475173
Date Effective From: 2026
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: 1475172
Date Effective From: 2026
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: 1475176
Date Effective From: 2021
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: 1475174
Date Effective From: 2026
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: 1475175
Date Effective From: 2026
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: 1475199
W° Bound: -77.388087
E° Bound: -76.24336
N° Bound: 43.231806
S° Bound: 42.232908

Extent Group 1 / Time Frame 1

CC ID: 1475198
Time Frame Type: Range
Start: 2020-05-02
End: 2020-05-14

Spatial Information

Spatial Resolution

Horizontal Distance: 1.0 Meter

Spatial Representation

Representations Used

Grid: Yes
Vector: No
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1475190

Coordinate Reference System

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

Reference System 2

CC ID: 1475201

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6347
EPSG Name: NAD83(2011) / UTM zone 18N
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.

Distribution Information

Distribution 1

CC ID: 1475177
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14078/details/14078
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2026 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1475178
Download URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/TIFF/
Distributor: U.S. Geological Survey (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in GeoTIFF format, based on a horizontal datum/projection of UTM Zone 18, NAD83(2011), meters (EPSG: 6347) and a vertical datum of NAVD88 (GEOID12B) and units in meters (EPSG: 5703).

File Type (Deprecated): LAZ
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1475179
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_FingerLakes_1_2020/ept.json
Name: Entwine Point Tiles (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 2

CC ID: 1475180
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_FingerLakes_1_2020%22
Name: Potree 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 3

CC ID: 1475181
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_2020_A20_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information.

URL 4

CC ID: 1475182
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 5

CC ID: 1475183
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines.

URL 6

CC ID: 1475184
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/reports/G20AC00105_NYSGPO_NewYorkCentralFingerLakes_LidarAcquisitionReport.pdf
Name: Acquisition Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar acquisition report.

URL 7

CC ID: 1475185
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/reports/G20AC00105_NYSGPO_NewYorkCentralFingerLakes_LidarProcessingReport.pdf
Name: Processing Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar processing report.

Data Quality

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined DEM Vertical Accuracy

Non-Vegetated Vertical Accuracy (NVA) = 6.4 cm RMSE

Vegetated Vertical Accuracy (VVA) = 15.9 cm at the 95th Percentile

Completeness Report:

Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. 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-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 GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.

Sources

USGS AWS GeoTIFF Files - NY_FingerLakes_1

CC ID: 1475191
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for NY_FingerLakes_1

Process Steps

Process Step 1

CC ID: 1475192
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 Step 2

CC ID: 1475193
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 0.7 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: 2021-03-09 00:00:00

Process Step 3

CC ID: 1475194
Description:

Data was tested at 0.53 meter aggregate nominal pulse spacing and at 3.6 aggregate points per meter. The aggregate nominal pulse spacing was tested on classified tiled LAS using geometrically reliable first-return points without overlap. ANPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors.

Process Date/Time: 2021-03-09 00:00:00

Process Step 4

CC ID: 1475195
Description:

Hydro-Flattened Bare-Earth DEM Process: Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Using automated scripting routines within LP360, a GeoTIFF file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.

Process Date/Time: 2021-03-24 00:00:00

Process Step 5

CC ID: 1475196
Description:

The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS).

These are the GeoTIFF files that are being accessed:

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/TIFF/

Process Date/Time: 2026-04-10 00:00:00
Process Contact: Office for Coastal Management (OCM)
ROR: https://ror.org/05v14bq57

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2020 NYS ITS Lidar: Finger Lakes, NY

Catalog Details

Catalog Item ID: 79563
GUID: gov.noaa.nmfs.inport:79563
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2026-04-10 20:30+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2026-04-10 20:59+0000
Metadata Record Published: 2026-04-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-05-02
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-05-02