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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

Browse Graphic

Short Citation
OCM Partners, 2024: 2010 FEMA Lidar: Racine County, WI, https://www.fisheries.noaa.gov/inport/item/71418.
Full Citation Examples

Abstract

This task order is for planning, acquisition, processing, and derivative products of lidar data for Starr Project number 400000096. FEMA Task Order number is HSFE05-11-J-0090. The area of data acquisition is for the entire county of Racine County in Wisconsin. The collection area consists of 332 square miles and was captured to the "Highest" vertical accuracy requirement.

Specifications listed below are based on FEMA Procedure Memorandum No. 61 Standards for LiDAR and Other High Quality Digital Topography. This collection specification is the equivalent of a 2 foot contour accuracy, and was collected with a nominal pulse spacing of 1.3 meters. The airborne GPS and IMU data were processed immediately following each mission. In addition, a sample of the LIDAR data was post-processed at the completion of each mission and the data was reviewed to ensure planned data quality and coverage.

Distribution Information

  • Not Applicable

    JSON file describing an entwine point tiles repository of the dataset. Allows streaming of point cloud with spatial filtering.

  • Not Applicable

    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.

  • LAS/LAZ - LASer

    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.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Extents

Geographic Area 1

-88.308° W, -87.757° E, 42.844° N, 42.61° S

Time Frame 1
2010-03-18

Item Identification

Title: 2010 FEMA Lidar: Racine County, WI
Short Name: 2010 Racine m9978
Status: Completed
Publication Date: 2014-01-13
Abstract:

This task order is for planning, acquisition, processing, and derivative products of lidar data for Starr Project number 400000096. FEMA Task Order number is HSFE05-11-J-0090. The area of data acquisition is for the entire county of Racine County in Wisconsin. The collection area consists of 332 square miles and was captured to the "Highest" vertical accuracy requirement.

Specifications listed below are based on FEMA Procedure Memorandum No. 61 Standards for LiDAR and Other High Quality Digital Topography. This collection specification is the equivalent of a 2 foot contour accuracy, and was collected with a nominal pulse spacing of 1.3 meters. The airborne GPS and IMU data were processed immediately following each mission. In addition, a sample of the LIDAR data was post-processed at the completion of each mission and the data was reviewed to ensure planned data quality and coverage.

Purpose:

The STARR - Racine County project is to provide high accuracy processed LiDAR data in Wisconsin. The project includes re-classification of previously collected LiDAR data to produce LAS files, contours, DTMs, DEMs and Breaklines for a 2 foot contour accuracy.

The project consisted of acquisition, post-processing, and classification of LiDAR data. The classified bare-earth data achieved the following: Vertical accuracy achieved for the 332 square miles was of the Highest vertical accuracy at a RMSE Z of 0.481 ft (95% confidence level of less than 0.980 ft) or better in the "Open Terrain" land cover category.

Accuracy statement is based on the area of moderate to flat terrain. Diminished accuracies are to be expected in areas of dense vegetation. The accuracy of the LiDAR data as tested met the vertical accuracy or better, however, derived products may be less accurate in areas of dense vegetation due to a lesser number of points defining the bare-earth in these areas.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WISCONSIN
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: Unknown
Data Presentation Form: Model (digital)
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: FEMA, Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 1281349
Date Effective From: 2023
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

CC ID: 1281348
Date Effective From: 2023
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

Metadata Contact

CC ID: 1281350
Date Effective From: 2023
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

CC ID: 1281351
Date Effective From: 2023
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1281354
W° Bound: -88.308
E° Bound: -87.757
N° Bound: 42.844
S° Bound: 42.61

Extent Group 1 / Time Frame 1

CC ID: 1281353
Time Frame Type: Discrete
Start: 2010-03-18

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 1281341
Point Object Present?: Yes
Point Object Count: 756971970

Reference Systems

Reference System 1

CC ID: 1281342

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:4893
EPSG Name: NAD83(NSRS2007)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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.

Distribution Information

Distribution 1

CC ID: 1281419
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/9978/ept.json
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: ept.json
Description:

JSON file describing an entwine point tiles repository of the dataset. Allows streaming of point cloud with spatial filtering.

File Date/Time: 2023-11-16 00:00:00
Distribution Format: Not Applicable
Compression: Uncompressed

Distribution 2

CC ID: 1281355
Start Date: 2023-11-16
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9978/details/9978
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.

Distribution Format: Not Applicable
Compression: Zip

Distribution 3

CC ID: 1281356
Start Date: 2023-11-16
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9978/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1281344
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 1281345
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9978/supplemental/Final_1130103_Racine_Starr.pdf
Name: Project Report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Project report from the contractor reflecting the data when submitted to FEMA.

URL 3

CC ID: 1281346
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9978/supplemental/Racine_Vertical_Accuracy_Report.pdf
Name: Vertical Accuracy Report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Vertical Accuracy Report from the lidar contractor.

URL 4

CC ID: 1281418
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9978/supplemental/2010_RacineWI_extent_m9978.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kml
Description:

This graphic displays the footprint for this lidar data set.

Technical Environment

Description:

Processing Programs and versions - TerraSolid TerraScan (version 013.020), TerraModeler (version 013.005) and TerraMatch (version 013.009), Intergraph MicroStation (version 08.05.02.70), and GeoCue (version 2013.1.45.1) GlobalMapper (version 13.2.1)

Data Quality

Horizontal Positional Accuracy:

The Racine County Project was acquired in three (3) missions. The 332 square miles of data was acquired at 1700 meters above ground level (AGL) and has a horizontal accuracy of 0.31 meters.

Vertical Positional Accuracy:

Ground survey check points were collected by Quantum Spatial for use in data set positional reference and vertical accuracy evaluation. In vertical accuracy evaluation, the ground survey check points of various ground cover categories are compared to vertical values of a Triangulated Integrated Network (TIN) derived from the LiDAR data, differences in elevation are calculated to establish a RMSE.

Two check point ground surveys were made performed between March 2010 - March of 2011 and another survey was performed February 2013. Ground cover categories include Hard Surface, Short Grass, Tall Grass, Brush and Forest.

The Fundamental Vertical Accuracy (FVA) of the Classified Bare Earth for the STARR Racine County project achieved a RMSE of 0.500 ft (95% confidence level of less than 0.980 ft) in the "Open Terrain" land cover category against the Triangulated Integrated Network (TIN). 46 control points were used in this evaluation.

The Supplemental Vertical Accuracy (SVA) of the Low Grass achieved a RMSE of 0.444 ft (95th Percentile of less than 0.751 ft) against the Triangulated Integrated Network (TIN). 44 points were used in this evaluation.

The Supplemental Vertical Accuracy (SVA) of the Long Grass achieved a RMSE of 0.485 ft (95th Percentile of less than 0.977 ft) against the Triangulated Integrated Network (TIN). 45 points were used in this evaluation.

The Supplemental Vertical Accuracy (SVA) of the Brush achieved a RMSE of 0.466 ft (95th Percentile of less than 0.748 ft) against the Triangulated Integrated Network (TIN). 43 points were used in this evaluation.

The Supplemental Vertical Accuracy (SVA) of the Forest achieved a RMSE of 0.507 ft (95th Percentile less than 0.860 ft) against the Triangulated Integrated Network (TIN). 45 points were used in this evaluation.

The Consolidated Vertical Accuracy (CVA) of all categories achieved a RMSE of 0.481 ft (95th Percentile of less than 0.920 ft) against the Triangulated Integrated Network (TIN). 223 checkpoints were used in this evaluation.

Completeness Report:

Complete

Conceptual Consistency:

None

Data Management

Have Resources for Management of these Data Been Identified?: Yes
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

Sources

Point cloud data

CC ID: 1281364
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: Racine County
Citation URL: https://bin.ssec.wisc.edu/pub/wisconsinview/lidar/Racine/Racine_2010_County_Delivery
Citation URL Name: Racine 2010 lidar
Citation URL Description:

Site with the Racine County files in LAS format in August 2023.

Source Contribution:

Data source ingested into the Digital Coast Data Access Viewer.

Process Steps

Process Step 1

CC ID: 1281337
Description:

Ground based survey points were compared to the LiDAR airborne data points.

Two hundred twenty-three survey points were collected throughout Racine County in various ground cover categories.

Process Date/Time: 2013-12-20 00:00:00

Process Step 2

CC ID: 1281338
Description:

The LiDAR data was captured using Quantum Spatial's twin-engine AeroCommander 500 or a Cessna 320 with an Optech ALTM Gemini LiDAR system. This system consists of a Airborne Global Position System (ABGPS), inertial measurement unit (IMU), and laser sensor. The ABGPS collects XYZ coordinates of the laser sensor and the IMU calibrates the orientation of the aircraft. During flight, laser pulses are reflected from features on the surface and the system collects this data. The acquired LiDAR data receives a preliminary review to assure that complete coverage is obtained and to ensure the absence of data gaps.

Acquisition parameters:

1. Scanner - Optech ALTM Gemini LIDAR

2. Flight Height - 1700 meters above ground level

3. Swath Width - 44 degrees

4. Sidelap - 55%

5. Nominal Point Spacing - 1.3m

GPS and IMU processing parameters:

1. Processing Programs and version - Applanix POSPac, version 4.4

2. IMU processing monitored for consistency and smoothness - Yes.

Process Date/Time: 2013-12-21 00:00:00

Process Step 3

CC ID: 1281339
Description:

Point Cloud Processing:

1. Program and version - Optech ASDA

2. Horizontal Datum - NAD83

3. Horizontal Coordinates - UTM zone 16N, in meters.

4. Vertical Datum - NAVD88

5. Geoid Model used to reduce satellite derived elevations to orthometric heights - Geoid09 (Meters).

LIDAR Processing:

1. Processing Programs and versions - TerraSolid TerraScan (version 013.020), TerraModeler (version 013.005) and TerraMatch (version 013.009), Intergraph MicroStation (version 08.05.02.70), and GeoCue (version 2013.1.45.1) GlobalMapper (version 13.2.1).

2. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment on a specified 1500m by 1500m tiling scheme

3. Analyze the data for overall completeness and consistency. This is to ensure that there are no voids in the data collection.

4. QC (Quality Control) for calibration errors in the dataset. This is accomplished by sampling the data collected accross all flight lines and classify the individual lines to ground. The software will use the ground-classified lines to compute corrections (Heading, Pitch, Roll, and Scale).

5. Orientation corrections (i.e. Calibration corrections) are then applied (if needed) to the entire dataset.

6. Automatic ground classification is performed using algorithms with customized parameters to best fit the project area. Several areas of varying relief and planimetric features were inspected to verify the final ground surface.

7. Quantum Spatial provided Quality Assurance and Quality Control (QAQC) data for this project. Quantum Spatial processed QA/QC points in 'open terrian' land cover category that were used to test the accuracy of the LiDAR ground surface. TerraScan's Output Control Report (OCR) was used to compare the QAQC data to the LIDAR data. This routine searches the LIDAR dataset by X and Y coordinate, finds the closest LIDAR point and compares the vertical (Z) values to the known data collected in the field. Based on the QAQC data, a bias adjustment was determined, and the results were applied to the LIDAR data.

8. Once the automatic processing and testing of LiDAR is complete, Quantum Spatial meticulously reviews the generated bare-earth surface data to insure that proper classification was achieved as part of a Quality Control process. Point classification follows the standard established by The American Society for Photogrammetry and Remote Sensing (ASPRS).

Class 1 Unclassified

Code 2 Ground

Code 7 Low Points

Code 8 Model Key Points

Code 9 Water

Code 10 Ignored Ground

Code 12 Overlap

9. Linework is created of water bodies and drainage. A routine is used to drape line work following monotonic elevation change of drainage.

10. Final deliverables are generated and output to a client specified PLSS tiling scheme.

Process Date/Time: 2013-12-30 00:00:00

Process Step 4

CC ID: 1281365
Description:

Data were retrieved from the Wisconsin View website in LAS format, NAD83(2007) UTM 16N projection with NAVD88 (Geoid09) vertical meters. The data were converted to geographic projection on the ellipsoid (EPSG:4893) in the cloud optimized point cloud (COPC) version of LAZ format and ingested into the Digital Coast Data Access Viewer.

Process Date/Time: 2023-11-16 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Point cloud data

Catalog Details

Catalog Item ID: 71418
GUID: gov.noaa.nmfs.inport:71418
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-11-16 13:47+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2023-11-16 15:15+0000
Metadata Record Published: 2023-11-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-11-16
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2026-11-16