2016 NYSGPO Lidar: Allegany and Steuben Counties, NY
OCM Partners
Data Set
(DS)
| ID: 65208
| Published / External
Created: 2021-08-25
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 65208
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2016 NYSGPO Lidar: Allegany and Steuben Counties, NY |
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Short Name | ny2016_all_steuben_m9346_metadata |
* Status | Completed |
Creation Date | 2016 |
Revision Date | |
• Publication Date | |
* » Abstract |
Product: Several products were collected and created for the project extent in Allegany and Steuben County, New York. These products include unclassified Swath LAS, Classified & Tiled LAS files, and Bare Earth Digital Elevation Models (DEM). This metadata record describes the las point data. Geographic Extent: Allegany and Steuben County, New York, covering approximately 1,316 square miles. Dataset Description: Allegany and Steuben County, New York 2016 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 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1516 individual 1500 m x 1500 m tiles, as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Ground Conditions: Lidar was collected in early 2016, 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, New York Office of Information Technology Services established a total of 26 ground control points that were used to calibrate the lidar to known ground locations established throughout the Allegany and Steuben County, New York project area. An additional 111 independent accuracy checkpoints, 61 in Bare Earth and Urban landcovers (61 NVA points). Please note that 3 of the 61 total NVA point were excluded from the solution due to being outside of the LiDAR coverage area. 50 in Tall Grass and Brushland/Low Trees categories (50 VVA points) were used to assess the vertical accuracy of the data. Please note that 2 VVA points out of the 50 collected were excluded due to being outside of the collection area. These checkpoints were not used to calibrate or post process the data. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. |
* 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 raw lidar point cloud data were used to create classified lidar LAS files, 3D breaklines, hydro-flattened DEMs as necessary. |
Notes | |
Other Citation Details | |
• Supplemental Information |
USGS Contract No. G16AC00068 CONTRACTOR: New York Office of Information Technology Services. SUBCONTRACTOR: Axis Geospatial, LLC Lidar data were acquired and calibrated by Axis GeoSpatial, LLC. All follow-up processing was completed by the prime contractor. This material is based upon work supported by the Natural Resources Conservation Service, U.S. Department of Agriculture, under number 68-2C31-15-501. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Riegl Q1560 LiDAR System", "ldrmaxnr" : "7", "ldrnps" : ".77", "ldranps" : ".77", "ldrdens" : "2.6", "ldradens" : "2.6", "ldrfltht" : "1830", "ldrfltsp" : "150", "ldrscana" : "58.52", "ldrscanr" : "84.3", "ldrpulsr" : "625", "ldrpulsd" : "5", "ldrpulsw" : ".60", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "2350", "ldrswato" : "30", "ldrcrs" : "NAD 1983(2011) UTM Zone 18N Meters", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A" }, "ldraccur" : {
"ldrchacc" : "0.2900", "rawnva" : "0.153", "rawnvan" : "58" }, "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 identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "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" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" } }} |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
None | beach |
None | erosion |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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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 |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > SEA FLOOR |
None | Continent > North America > United States Of America > New York > Allegany County |
None | Continent > North America > United States Of America > New York > Steuben County |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation |
Overall Project Metadata |
Entity Attribute Detail URL | |
Distribution Liability |
The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
Data Set Credit | New York Office of Information Technology Services |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2021 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2021 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2021 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2021 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
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* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -78.108996 |
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* » E° Bound | -77.034467 |
* » N° Bound | 42.594293 |
* » S° Bound | 41.978805 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2016-03-30 |
End | 2016-05-18 |
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Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
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Angular Distance Units | |
Horizontal Distance | 0.7 |
Horizontal Distance Units | Meter |
Vertical Distance | |
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Spatial Representation
Grid Representation Used? | |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | |
TIN Representation Used? | |
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Reference Systems
Reference System
EPSG Code | EPSG:6319 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2021-08-25 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9346/details/9346 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
File Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2021-08-25 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9346/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. |
File Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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Archive Information
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URLs
URL | https://coast.noaa.gov/dataviewer/ |
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Name | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9346/supplemental/ny2016_alg_steub_m9346.kmz |
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Name | Browse graphic |
URL Type | Browse Graphic |
File Resource Format | KML |
Description |
This graphic displays the footprint for this lidar data set. |
URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9353/details/9353 |
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Name | Custom DEM Download |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. |
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Activity Log
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Issues
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Technical Environment
Description |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital GeoSpatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.005 degrees at an altitude of 1830 m; the expected radial horizontal positional error will be RMSEr = 0.29 m. |
Vertical Positional Accuracy |
The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and "urban" land cover classes. This is a required accuracy. The NVA was tested with 58 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "brushlands/low trees" and "tall weeds/crops" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 48 checkpoints located in tall weeds/crops and brushlands/low trees (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Tested 15.3 cm NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 58 independent checkpoints located in Bare Earth and Urban land cover classes. Tested 15.3 cm NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 58 independent checkpoints located in the Bare Earth and Urban land cover categories. Tested 13.5 cm VVA at a 95% confidence level was calculated using 48 checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. |
Conceptual Consistency |
All LiDAR data and LiDAR Derived data covers the entire 1316 Square mile Area of Interest with in New York. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | Yes |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» Approximate Delay Between Data Collection and Archiving | |
» 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 |
Data were collected and processed by Axis GeoSpatial, LLC for the New York Office of Information Technology Services and posted to their ftp site. The NOAA Office for Coastal Management (OCM) downloaded the data from the ftp site and processed it to make it available for custom download from the Data Access Viewer (DAV) and bulk download from https. |
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Sources
Citation Title | Allegany and Steuben Counties, New York Lidar 2016 |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | New York Office of Information Technology Services |
Publish Date | |
Extent Type | Range |
Extent Start Date/Time | 2016-03-30 |
Extent End Date/Time | 2016-05-18 |
Scale Denominator | 1200 |
Citation URL | |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
This data source was used (along with the airborne GPS/IMU Data) to geo-referencing of the LiDAR point cloud data used to create all contracted LiDAR derived products. Version of the LAS Standard 1.4 / point data record format 6. |
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Process Steps
Process Step Number | 1 |
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» Description |
Aerial LiDAR Acquisition: Aerial data collection was acquired in Sixteen (16) missions. Missions were flown using the Riegl Q1560 LiDAR system at a max flying height of 1830 m AGL. This was to support a 2.6 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by POS/AV 510 for both sensors. Data acquisition was completed on May 18 2016. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, New York Office of Information Technology Services established a total of 26 ground control points that were used to calibrate the lidar to known ground locations established throughout the Allegany and Steuben County, New York project area. An additional 111 independent accuracy checkpoints, 61 in Bare Earth and Urban landcovers (61 NVA points). Please note that 3 of the 61 total NVA point were excluded from the solution due to being outside of the LiDAR coverage area. 50 in Tall Grass and Brushland/Low Trees categories (50 VVA points) were used to assess the vertical accuracy of the data. Please note that 2 VVA points out of the 50 collected were excluded due to being outside of the collection area. These checkpoints were not used to calibrate or post process the data. The data weredeveloped based on a horizontal projection/datum of NAD83, Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12A), meters. |
Process Date/Time | 2016-01-01 00:00:00 |
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Process Step Number | 2 |
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» Description |
LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the LiDAR system trajectory for each lift. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data was then block adjusted to match surveyed calibration control. Raw data NVA was checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file. |
Process Date/Time | 2016-01-01 00:00:00 |
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Process Step Number | 3 |
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» Description |
Initial processing of the GPS data was processed using POSPAC MMS 7.2. The solution file was generated and RiProcess software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points |
Process Date/Time | 2016-01-01 00:00:00 |
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Process Step Number | 4 |
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» Description |
LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client. |
Process Date/Time | 2016-01-01 00:00:00 |
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Process Step Number | 5 |
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LiDAR Classification: 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 digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by LasTools to appropriately bit flag overlapping flight line data per USGS specifications. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. LP360 was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. New York Office of Information Technology Services 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 | 2016-01-01 00:00:00 |
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Process Step Number | 6 |
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» Description |
The NOAA Office for Coastal Management (OCM) downloaded 1515 las files from ftp://ftp.gis.ny.gov/elevation/LIDAR/NYSGPO_AlleganySteuben2016/. The data were in UTM Zone 18 (NAD83 2011), meters coordinates and NAVD88 (Geoid12A) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The las files were converted from las format to laz format using laszip. 2. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 3. Internal OCM scripts were run on the laz files to: a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12A model b. Convert the laz files from UTM Zone 18 (NAD83 2011), meters coordinates to geographic coordinates c. Assign the geokeys, sort the data by gps time and zip the data to database and to http. |
Process Date/Time | 2021-08-26 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Process Step Number | 7 |
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After finding information that 1516 files were collected for this data set, OCM noted that 1515 files were processed to the NOAA Digital Coast. NOAA OCM contacted the NYS GIS office to inquire about the missing file. NYS GIS sent the missing file to be added to the NOAA Digital Coast. OCM processed this file according to same parameters as noted in Process Step 6. There is now a total of 1516 files that were processed. |
Process Date/Time | 2021-09-24 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Data Set (DS) | Cross Reference |
2016 NYSGPO Lidar DEM: Allegany and Steuben Counties, NY |
Catalog Details
Catalog Item ID | 65208 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2021-08-25 21:24+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-10-17 16:12+0000 |
Metadata Record Published | 2022-03-16 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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