67099
2020 NYSITS Lidar: Finger Lakes, NY
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2017
Unknown
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 2236 individual 1500 m x 1500 m tiles; used to create intensity rasters, 3D breaklines and hydro-flattened DEMs as necessary.
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 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.
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.
USGS Contract No. G20AC00105
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.
-<ldrinfo>
<ldrspec>U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v2.1</ldrspec>
<ldrsens>Leica TerrainMapper</ldrsens>
<ldrmaxnr>15</ldrmaxnr>
<ldrnps>0.66</ldrnps>
<ldrdens>2.27</ldrdens>
<ldranps>0.666</ldranps>
<ldradens>2.27</ldradens>
<ldrfltht>3228</ldrfltht>
<ldrfltsp>160</ldrfltsp>
<ldrscana>40</ldrscana>
<ldrscanr>87.0</ldrscanr>
<ldrpulsr>688.3</ldrpulsr>
<ldrpulsd>4</ldrpulsd>
<ldrpulsw>0.75</ldrpulsw>
<ldrwavel>1064</ldrwavel>
<ldrmpia>1</ldrmpia>
<ldrbmdiv>0.25</ldrbmdiv>
<ldrswatw>2350</ldrswatw>
<ldrswato>20</ldrswato>
<ldrgeoid>National Geodetic Survey (NGS) Geoid12B</ldrgeoid>
</ldrinfo>
-<ldraccur>
<ldrchacc>0</ldrchacc>
<rawnva>0</rawnva>
<rawnvan>0</rawnvan>
<clsnva>0</clsnva>
<clsnvan>0</clsnvan>
<clsvva>0</clsvva>
<clsvvan>0</clsvvan>
</ldraccur>
-<lasinfo>
<lasver>1.4</lasver>
<lasprf>6</lasprf>
<laswheld>Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.</laswheld>
<lasolap>Swath "overage" points were identified in these files using the standard LAS overlap bit.</lasolap>
<lasintr>11</lasintr>
-<lasclass>
<clascode>1</clascode>
<clasitem>Processed, but Unclassified</clasitem>
</lasclass>
-<lasclass>
<clascode>2</clascode>
<clasitem>Bare Earth Ground</clasitem>
</lasclass>
-<lasclass>
<clascode>7</clascode>
<clasitem>Low Noise</clasitem>
</lasclass>
-<lasclass>
<clascode>9</clascode>
<clasitem>Water</clasitem>
</lasclass>
-<lasclass>
<clascode>17</clascode>
<clasitem>Bridge Decks</clasitem>
</lasclass>
-<lasclass>
<clascode>18</clascode>
<clasitem>High Noise</clasitem>
</lasclass>
-<lasclass>
<clascode>20</clascode>
<clasitem>Ignored Ground</clasitem>
</lasclass>
-<lasclass>
<clascode>21</clascode>
<clasitem>Snow</clasitem>
</lasclass>
-<lasclass>
<clascode>22</clascode>
<clasitem>Temporal Exclusion</clasitem>
</lasclass>
</lasinfo>
</lidar>
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
Unknown
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
New York Office of Information Technology Services
Data Steward
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2021
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
Metadata Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-77.388087
-76.24336
43.231806
42.232908
Range
2020-05-02
2020-05-14
.7
Meter
Yes
Projected
EPSG:3857
WGS 84 / Pseudo-Mercator
World Geodetic System 1984
WGS 84
6378137
298.257223563
WGS 84
Popular Visualisation Pseudo-Mercator
Popular Visualisation Pseudo Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
0° 0' 0" E
False easting
0
metre
False northing
0
metre
1
Easting
X
metre
east
2
Northing
Y
metre
north
Vertical
EPSG:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for bulk and custom downloads.
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.
2022-02-14
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9494/details/9494
2022
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2022
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/LAZ/
2021
Organization
U.S. Geological Survey
Bulk Download
Bulk download of data files in LAZ 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). This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.
LAZ
LAS/LAZ - LASer
Zip
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/
USGS Additional Info
Online Resource
Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/reports/G20AC00105_NYSGPO_NewYorkCentralFingerLakes_LidarAcquisitionReport.pdf
Acquisition Report
Online Resource
pdf
Link to the lidar acquisition report.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_1_2020/reports/G20AC00105_NYSGPO_NewYorkCentralFingerLakes_LidarProcessingReport.pdf
Processing Report
Online Resource
pdf
Link to the lidar processing report.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NY_FingerLakes_2020_A20/NY_FingerLakes_2020_A20_WP_Report.pdf
USGS Work Package Report
Online Resource
pdf
This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information.
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_FingerLakes_1_2020/ept.json
Entwine Point Tiles (EPT)
Online Resource
json
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.
https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NY_FingerLakes_1_2020%22
Potree 3D View
Online Resource
Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.
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 Vertical Accuracy
Non-Vegetated Vertical Accuracy (NVA) = 6.4 cm RMSE
Vegetated Vertical Accuracy (VVA) = 13.04 cm at the 95th Percentile
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.
Data covers the entire area specified for this project.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
The Finger Lakes, NY lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles.
Entwine Point Tiles on AWS
Organization
USGS
Publisher
https://usgs.entwine.io/
USGS Entwine Point Cloud
1
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.
2
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.
2021-03-09T00:00:00
3
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.
2021-03-09T00:00:00
4
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). Vertically, the data were converted to meters and no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703).
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
5
References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container.
2022-04-29T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
gov.noaa.nmfs.inport:67099
Rebecca Mataosky
2022-05-02T14:59:17
SysAdmin InPortAdmin
2023-10-17T16:12:36
2022-05-02
OCM Partners
OCMP
1002
Public
No
2022-05-02
1 Year
2023-05-02