2017 ISGS Lidar: Greene, Macoupin, Montgomery Counties, IL
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:72438 | Updated: April 12, 2024 | Published / External
Item Identification
Title: | 2017 ISGS Lidar: Greene, Macoupin, Montgomery Counties, IL |
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Short Name: | il2017_grn_mac_mont_m10110_metadata |
Status: | Completed |
Creation Date: | 2017 |
Publication Date: | 2017 |
Abstract: |
Merrick & Company (Merrick) was contracted by the University of Illinois Urbana-Champaign / Illinois State Geological Survey (ISGS) to provide a lidar validation ground survey, aerial lidar data collection and processing of approximately 2,220.50 square miles for Greene, Macoupin, and Montgomery Counties, IL (IL-3 Counties). LIDAR-derived binary (.las) files ASPRS ver 1.4 format containing classified points of all returns. There are 11 classifications: Unclassified, Ground, Low Veg, Medium Veg, High Veg, Buildings, Low Noise, Water, Ignore Ground, Bridge Decks and High Noise. The files are delivered in section formatted tiles. These files adhere to the National Enhanced Elevation Assessment (NEEA) Quality Level 2 (QL2) standards. The contractual aggregate nominal pulse spacing (ANPS) is less than or equal to 0.71m. The contractual aggregate nominal point density (ANPD) is 2.0 points or greater per square meter. 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: |
unknown |
Supplemental Information: |
The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS NGP Base Specification v1.2", "ldrsens" : "Optech Galaxy Airborne Laser Terrain Mappers (ALTM)", "ldrmaxnr" : "8", "ldrnps" : "0.71", "ldrdens" : "2", "ldranps" : "0.56", "ldradens" : "3.2", "ldrfltht" : "2,150", "ldrfltsp" : "170", "ldrscana" : "40", "ldrscanr" : "62", "ldrpulsr" : "350", "ldrpulsd" : "3.5", "ldrpulsw" : "1.05", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1565", "ldrswato" : "30", "ldrcrs" : "NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : {
"ldrchacc" : "0.1", "rawnva" : "0.096", "rawnvan" : "83", "clsnva" : "0.097", "clsnvan" : "83", "clsvva" : "0.178", "clsvvan" : "61" }, "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 by a separate bit flag.", "lasintr" : "12-bit", "lasclass" : {
"clascode" : "1", "clasitem" : "Undetermined/Unclassifed" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Ground" }, "lasclass" : {
"clascode" : "3", "clasitem" : "Low Veg" }, "lasclass" : {
"clascode" : "4", "clasitem" : "Medium Veg" }, "lasclass" : {
"clascode" : "5", "clasitem" : "High Veg" }, "lasclass" : {
"clascode" : "6", "clasitem" : "Building" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low point (noise)" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "10", "clasitem" : "Ignore ground (near a breakline)" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" } }} |
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
|
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
|
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 |
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | Elevation |
Maintenance Frequency: | Unknown |
Data Presentation Form: | Model (digital) |
Entity Attribute Detail Citation: |
ASPRS ver 1.4 format:1 = Unclassified2 = Ground3 = Low Veg4 = Medium Veg5 = High Veg6 = Building7 = Low Noise9 = Water10 = Ignore Ground17 = Bridge18 = High Noise |
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: | Merrick & Co, ISGS |
Support Roles
Data Steward
Date Effective From: | 2024 |
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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
Date Effective From: | 2024 |
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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
Date Effective From: | 2019 |
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Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
Metadata Contact
Date Effective From: | 2024 |
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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
Date Effective From: | 2024 |
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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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -90.62965 | |
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E° Bound: | -89.126421 | |
N° Bound: | 39.533649 | |
S° Bound: | 38.990944 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2017-04-07 |
End: | 2017-04-24 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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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
Start Date: | 2024-04-12 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10110/details/10110 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
Distribution Format: | Not Applicable |
Compression: | Zip |
Distribution 2
Start Date: | 2019 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_IL_GrnMacMont_2017_LAS_2018/laz |
Distributor: | U.S. Geological Survey (2019 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, a horizontal projection/datum of NAD83 (2011), State Plane Illinois West Zone, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. |
Distribution Format: | LAS/LAZ - LASer |
Compression: | LAZ |
URLs
URL 1
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 2
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/IL_GreenMacoupinMont_2017_C18/IL_GrnMacMont_2017/reports/IL_3_Counties_Lidar_Mapping_Report_2017.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the lidar project report. |
URL 3
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/IL_GreenMacoupinMont_2017_C18/IL_GrnMacMont_2017/reports/Greene_Macoupin_Montgomery_3rd_Delivery_QAQC_Report_Summary.pdf |
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Name: | QC Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the lidar QC report. |
URL 4
URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/IL_GreenMacoupinMont_2017_C18/IL_GrnMacMont_2017/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 5
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_GrnMacMont_2017_LAS_2018/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 6
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_GrnMacMont_2017_LAS_2018%22 |
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Name: | USGS 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. |
Technical Environment
Description: |
Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4095 |
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Data Quality
Horizontal Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 22.5 (cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 55.1 cm at a 95% confidence level. |
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Vertical Positional Accuracy: |
This data set was tested to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10.0-cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 4.914 cm, equating to +/- 9.632 cm at the 95% confidence level. Actual VVA accuracy was found to be +/- 17.8 cm at the 95th percentile. These results are verified against a TIN. Classified Non-Vegetated Vertical Accuracy (NVA) tested 0.097 meters vertical accuracy at the 95 percent confidence level. Eighty-three (83) NVA points were used and validated against the DEM. Classified Vegetated Vertical Accuracy (VVA) tested 0.182 meters vertical accuracy at the 95th percentile. Sixty-one (61) VVA points were used and validated against the DEM. |
Completeness Report: |
The dataset was captured, attributed, and reviewed to ensure completeness and accuracy of at least 95%. |
Conceptual Consistency: |
The dataset was captured, attributed, and reviewed to ensure completeness and accuracy of at least 95%. |
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 |
Actual or Planned Long-Term Data Archive Location: | NCEI-NC |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to cloud storage. |
Lineage
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. |
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Sources
USGS AWS Entwine Point Tile (EPT)
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_GrnMacMont_2017_LAS_2018/ept.json |
Citation URL Name: | Entwine Point Tile (EPT) |
Process Steps
Process Step 1
Description: |
LIDAR data was collected using the Optech Galaxy sensor. The raw data was verified in MARS software for complete coverage of the project area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then processed through automated filtering that separates the data into different classification groups: unclassified points, ground points, low veg, medium veg, high veg, buildings, low noise, water, ignored ground, bridge decks and high noise. The data was next taken into MARS to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Two points or greater per square meter (QL2) ASPRS ver 1.4 format. |
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Process Date/Time: | 2017-09-20 00:00:00 |
Process Step 2
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 (NAVD88 GEOID12B US survey feet). |
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Process Contact: | U.S. Geological Survey |
Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) that was ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_GrnMacMont_2017_LAS_2018/ept.json |
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Process Date/Time: | 2024-04-11 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 72438 |
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GUID: | gov.noaa.nmfs.inport:72438 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2024-04-12 14:52+0000 |
Metadata Record Last Modified By: | Rebecca Mataosky |
Metadata Record Last Modified: | 2024-04-12 15:33+0000 |
Metadata Record Published: | 2024-04-12 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2024-04-12 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2025-04-12 |