2015 USGS Lidar: Iron County, WI
OCM Partners
Data Set
(DS)
| ID: 58881
| Published / External
Created: 2020-02-19
|
Last Modified: 2023-12-07
Project (PRJ) | ID: 49401
ID: 58881
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2015 USGS Lidar: Iron County, WI |
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Short Name | |
* Status | Completed |
Creation Date | 2015-05 |
Revision Date | |
• Publication Date | |
* » Abstract |
Ayres Associates provided Iron County, Wisconsin, with lidar based topographic mapping services in the spring of 2015 as part of WROC. The LiDAR data was collected on 2015/04/15 to 2015/04/17 using an Optech Orion H300 sensor mounted in a fixed-wing aircraft. LiDAR data was collected to support the generation of 2-foot contours to meet FEMA vertical accuracy standards. The LiDAR data was delivered according to a 5,000 foot x 5,000 foot tile schematic. The LiDAR data was calibrated using information collected at the time of flight from GPS base stations on the ground and airborne GPS/IMU in the aircraft. The calibrated LiDAR data was processed to produce a classified point cloud, bare earth DTM, DEM, DSM, contours, breaklines, and intensity images. NOAA Office for Coastal Management retrieved the classified lidar files from the WisconsinView portal and processed the data to the Digital Coast. The bare-earth DEM files are also available on the Digital Coast, and are linked to below in the Related Items section. |
* Purpose |
LiDAR was acquired to produce an accurate bare earth surface and to generate 2-ft contours to support county land information efforts. |
Notes | |
Other Citation Details | |
• Supplemental Information | |
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 |
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 | VERTICAL LOCATION > LAND SURFACE |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > SEA FLOOR |
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 | |
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 | USGS, Ayers Associates, Iron County, WI |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2020 |
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 | 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 | 2020 |
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 | 2020 |
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 |
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* » Contact | |
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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 | -90.58 |
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* » E° Bound | -89.9 |
* » N° Bound | 46.6 |
* » S° Bound | 45.95 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2015-04-15 |
End | 2015-04-17 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Collection dates of Lidar data |
Spatial Information
Spatial Resolution
Angular Distance | |
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Angular Distance Units | |
Horizontal Distance | 0.4 |
Horizontal Distance Units | Meter |
Vertical Distance | |
Vertical Distance Units | |
Equivalent Scale Denominator | |
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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Curve Object Count | |
Point Object Present? | Yes |
Point Object Count | 8161145389 |
Solid Object Present? | |
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Vector Representation
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Reference Systems
Reference System
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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 or 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 | 2020-02-19 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9023 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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 | 2020-02-19 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9023/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9023/supplemental/extent_IronCounty_WIm9023.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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9023/supplemental/Iron_Ground_Control_Survey_Report.pdf |
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Name | Dataset report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to data set report. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9023/breaklines/index.html |
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Name | Breaklines |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to the breaklines. |
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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 | |
Vertical Positional Accuracy |
A comparison of the ground survey versus lidar model values indicates a vertical root mean square error (RMSEz) of 0.319 feet (9.7 cm). This is within the FEMA specified vertical accuracy tolerance of 0.61 feet. This RMSEz equates to a tested 0.625 feet vertical accuracy at 95% confidence level. |
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Conceptual Consistency | |
» Quality Control Procedures Employed |
To qualify as an acceptable accuracy test, the lidar data must be compared with a dataset of higher accuracy – in this instance, ground survey. To develop a comparable dataset of points from the lidar dataset, a utility from proprietary software was used. The ground control survey results were imported into an ESRI PointZ shapefile with each point’s information as attributes. The utility then accessed the lidar and generated a triangulated irregular network (TIN), which is a continuous digital terrain surface, using the bare-earth lidar points and the compiled breaklines. The utility probed the TIN surface to determine its elevations at each of the survey point’s horizontal locations. The elevation was then appended as a field to the PointZ shapefile; the attributes for each point were exported to a database and then statistical analysis was performed. |
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 |
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Sources
Citation Title | Lidar |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Ayers Associates |
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Process Steps
Process Step Number | 1 |
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» Description |
LiDAR processing utilizes several software packages, including GeoCue and the TerraSolid suite of processing components. The GeoCue software is a database management system for housing the LiDAR dataset (usually multiple gigabytes in size). GeoCue incorporates a thorough checklist of processing steps and quality assurance/quality control (QA/QC) procedures that assist in the LiDAR workflow. The TerraSolid software suite is used to automate the initial classification of the LiDAR point cloud based on a set of predetermined parameters. Lidar technicians refer to ground cover research (natural and cultural features) within the project area and determine algorithms most suitable for the initial automated LiDAR classification. (Some algorithms/filters recognize the ground in forests well, while others have greater capability in urban areas). During this process each point is given an initial classification (e.g., as ground, vegetation, or noise) based on the point's coordinates and the relation to its neighbors. Classifications to be assigned include all those outlined by ASPRS standards. The initial classifications produce a coarse and inexact dataset, but offer an adequate starting point for the subsequent manual classification procedure. During this step, "overlap" points are automatically classified (those originating from neighboring flightlines) using information gathered from the ABGPS and IMU data. Any duplicate points existing from adjacent flightlines are removed during this process. Hydrographic breaklines are collected using LiDARgrammetry to ensure hydroflattened water surfaces. This process involves manipulating the LiDAR data's intensity information to create a metrically sound stereo environment. From this generated "imagery", breaklines are photogrammetrically compiled. Breakline polygons are created to represent open water bodies. The LiDAR points that fall within these areas are classified as "water." Breaklines representing streams and rivers shall be smooth, continuous, and monotonic, and represent the water surface without any stair steps except for dams and rapids. All hydrographic breaklines include a 1.5 foot buffer, with the points being re-classified as Class 10 (ignored ground). TerraSolid is further used for the subsequent manual classification of the LiDAR points allowing technicians to view the point cloud in a number of ways to ensure accuracy and consistency of points and uniformity of point coverage. |
Process Date/Time | |
Process Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» Description |
The NOAA Office for Coastal Management (OCM) retrieved 992 lidar point cloud files in laz format from the WisconsinView website. The files contained lidar elevation and intensity measurements. The data were in Wisconsin County Reference System - Iron County, survey feet, coordinates and NAVD88 (Geoid12B) elevations in US Survey feet. The data were classified as: 1-Unclassified, 2-Ground, 5 - High Vegetation, 6 - Building, 7 - Noise, 9 - Water, 10 - Ignored Ground, 11 - Road Surface, 17 - Bridge Deck, and 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http. |
Process Date/Time | |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
Instruments
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FAQs
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Child Items
Rubric scores updated every 15m
Score | Type | Title |
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Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2015 USGS Lidar DEM: Iron County, WI Bare-earth DEM |
Catalog Details
Catalog Item ID | 58881 |
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Metadata Record Created By | Blake Waring |
Metadata Record Created | 2020-02-19 15:21+0000 |
Metadata Record Last Modified By | Rebecca Mataosky |
» Metadata Record Last Modified | 2023-12-07 20:31+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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