2019 USGS Lidar: City of Champaign, IL
OCM Partners
Data Set
(DS)
| ID: 70399
| Published / External
Created: 2023-08-04
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 70399
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2019 USGS Lidar: City of Champaign, IL |
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Short Name | il2019_city_champ_m9871_metadata |
* Status | Completed |
Creation Date | 2019 |
Revision Date | |
• Publication Date | 2019-10-10 |
* » Abstract |
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 301 individual 1000 meter x 1000 meter tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Champaign City Illinois, covering approximately 116 square miles. Cities included are Champaign and Urbana, Illinois. A lidar survey was collected over one (1) area of interest (AOI) in Illinois identified as the Option 1 AOI. Dataset Description: Champaign City Illinois 2019 Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.354 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3; Quality Level 1. The data was developed based on a horizontal projection/datum of NAD83 (2011), Albers Equal Area, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 301 individual 1000 x 1000 meter tiles, as 301 tiled Intensity Imagery, and as 301 tiled bare earth DEMs; all tiled to the same 1000 x 1000 meter schema. The vegetation classes are: Low vegetation = 0.5-5 feet, Medium vegetation = 5-20 feet, High vegetation >20 feet. Vegetation classes may also include buildings or parts of buildings that automated filters did not detect. Ground Conditions: Lidar was collected on April 16, 2019, 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, Surveying and Mapping, LLC (SAM) established a total of 9 ground control points, 8 of which were located inside the Option 1 AOI and were used to calibrate the lidar to known ground locations established throughout the project area. An additional 13 independent accuracy checkpoints, 13 in Bare Earth and Urban landcovers (13 NVA points), 8 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (8 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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. |
* Purpose |
To acquire QL1+ lidar detailing surface elevation data, vegetation, and buildings for use to support the 3DEP mission, the Natural Resources Consevation Services (NRCS), Federal Emergency Management (FEMA) Risk Mapping, Assessment, and Planning (MAP) program, and Illinois State Geological Survey's Height Modenization Program. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEMs. The purpose of this lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. |
Notes | |
Other Citation Details | |
• Supplemental Information |
USGS Contract No. G17PC00007 CONTRACTOR: Aerial Services, Inc. Lidar data were acquired and calibrated by the prime contractor. PRIME: Aerial Services, Inc. manually edited bare earth surface and building rooftop cleanup, preformed hydro collection, flattening, produced bare earth DEMs for the Option 1 AOI. All follow-on processing was completed by the prime contractor.
The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.3", "ldrsens" : "Leica ALS70-HP", "ldrmaxnr" : "4", "ldrnps" : "0.354", "ldrdens" : "8", "ldranps" : "0.354", "ldradens" : "8", "ldrfltht" : "1100", "ldrfltsp" : "150", "ldrscana" : "60", "ldrscanr" : "60", "ldrpulsr" : "246", "ldrpulsd" : "4", "ldrpulsw" : "1.22", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.24", "ldrswatw" : "589", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS witheld 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" : "3", "clasitem" : "Low Vegetation" }, "lasclass" : {
"clascode" : "4", "clasitem" : "Medium Vegetation" }, "lasclass" : {
"clascode" : "5", "clasitem" : "High Vegetation" }, "lasclass" : {
"clascode" : "6", "clasitem" : "Building" }, "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" } }} |
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 |
ISO 19115 Topic Category | elevation |
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 > ILLINOIS |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
None | Champaign City |
None | Urbana City |
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 | |
Entity Attribute Detail URL | |
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 | Aerial Services, Inc., USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2023 |
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 | 2023 |
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 | 2020 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
Email Address | |
Phone | |
Fax | |
Mobile | |
URL | https://usgs.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2023 |
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 | 2023 |
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 |
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* » Support Role | |
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* Contact Instructions |
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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 | -88.37005 |
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* » E° Bound | -88.112524 |
* » N° Bound | 40.18437 |
* » S° Bound | 40.038287 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Discrete |
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* » Start | 2019-04-16 |
End | |
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Description |
Spatial Information
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Level of Detail Description |
Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Reference Systems
Reference System
EPSG Code | EPSG:3857 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2023-08-04 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9871/details/9871 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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 | 2023-08-04 |
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End Date | Present |
» Download URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/IL_8County_PlusChampaign_2019_B19/IL_8County_PlusChampaign_B3_QL1_2019/LAZ/ |
Distributor | U.S. Geological Survey (2020 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in LAZ format, Albers Equal Area, NAD83(2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. |
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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_8County_PlusChampaign_2019_B19/IL_8County_PlusChampaign_B3_QL1_2019/reports/G17PC00007_IL_Champaign-City_Lidar%202019_Report_20210517.pdf |
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Name | Lidar Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the Aerial Services, Inc. lidar report. |
URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_8County_PlusChampaign_2019_B19/USGS_IL_8County_PlusChampaign_B1_2019_Project_Report.pdf |
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Name | USGS Project Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, the point classes and sensors used. |
URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_8County_PlusChampaign_2019_B19/IL_8County_PlusChampaign_B3_QL1_2019/ |
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Name | USGS Additional Info |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/IL_8County_PlusChampaign_B3_QL1_2019/ept.json |
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Name | USGS Entwine Point Tile (EPT) |
URL Type | Online Resource |
File Resource Format | json |
Description |
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. |
URL | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/IL_8County_PlusChampaign_B3_QL1_2019%22 |
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Name | USGS 3D View |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
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Activity Log
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Issues
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Issue |
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Issue |
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Author | |
Issue |
Technical Environment
Description |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
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 Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 5 cm RMSE Vegetated Vertical Accuracy (VVA) = 12.08 cm at 95th Percentile |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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. No void areas or missing data exist. 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. |
» 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 |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) file hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. |
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Sources
Citation Title | USGS AWS Entwine Point Tile (EPT) |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
Publish Date | |
Extent Type | |
Extent Start Date/Time | |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/IL_8County_PlusChampaign_B3_QL1_2019/ept.json |
Citation URL Name | Entwine Point Tile (EPT) |
Citation URL Description | |
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Scale Denominator |
Process Steps
Process Step Number | 1 |
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» Description |
LAS Point Classification QL1: The point classification was performed as described below. Classification Filters were applied to aid in the definition of; terrain characteristics, vegetation attribution of low, medium or high and building roof tops. Filtering processes address aspects of the data such as: ground points, noise points, air points, low points, Low vegetation 0.5-5’, medium vegetation 5-20’, high vegetation >20’, manmade features, buildings, and overlap points. The Classified point cloud data was manually reviewed to ensure correct classification of; ground (ASPRS class 2), and building roof tops (ASPRS class 6). After the bare earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS class 2) lidar data inside of the Inland Ponds and Lakes, and Inland Streams and Rivers are classified to water (ASPRS class 9). A buffer of 2.5 feet was used around each hydro-flattened feature to classify ground (ASPRS class 2) to ignored ground (ASPRS class 20). Island features were checked to ensure that Ground point (ASPRS class 2) remained classified as Ground. Ground points (ASPRS class 2) within 2.5 feet of bridge breaklines, used to reduce triangulation between bridge decks were also classified to Ignored ground (ASPRS class 20). All bridge decks were classified to Bridge deck (ASPRS class 17). All remaining points were filtered, or manually classified to their respective point classification; processed (ASPRS class 1), low vegetation (ASPRS class 3), medium vegetation (ASPRS class 4), high vegetation (ASPRS class 5), buildings (ASPRS class 6), low noise (ASPRS class 7), high noise (ASPRS class 18). TerraScan v019.003 was used to identify the overlap flag and bit set flags to LAS v1.4 specifications. LP360 64bit was used to deduce the Well Known Text (WKT) and an ASI proprietary software was used to format the LAS to the final LAS v1.4 Format 6 version. LAStools by rapidlasso GmbH, open source, lasvalidate (open source LGPL) and an ASI proprietary software was used to perform final analysis to checks on LAS header information, LAS point classes, and LAS timestamps. |
Process Date/Time | 2019-10-10 00:00:00 |
Process Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» 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 no changes were made to the vertical elevations in NAVD88 (GEOID12B). |
Process Date/Time | |
Process Contact | U.S. Geological Survey |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 3 |
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» Description |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) file 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/IL_8County_PlusChampaign_B3_QL1_2019/ept.json |
Process Date/Time | 2023-08-04 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Data Set (DS) | Cross Reference |
2019 - 2020 USGS Lidar: 8 Northwest Counties, IL |
Catalog Details
Catalog Item ID | 70399 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2023-08-04 19:26+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-10-17 16:12+0000 |
Metadata Record Published | 2023-08-04 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2023-08-04 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2024-08-04 |
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