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OCM Partners, 2023: 2015 FEMA Lidar: Marinette County, WI,

Item Identification

Title: 2015 FEMA Lidar: Marinette County, WI
Short Name: FEMA_STARR_MarinetteCo_WI_Lidar
Status: Completed
Publication Date: 2015-08-30

The collection area consists of 1,430 square miles, the entirety of Marinette County in Wisconsin..

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.

FEMA STARR Project number 4000000254. FEMA Task Order number is HSFE05-14-J-0037.


The STARR - Marinette 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.


Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
ISO 19115 Topic Category

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline
None Continent > North America > United States Of America > Wisconsin > Marinette County

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > 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: Continental Mapping Consultants

Support Roles

Data Steward

CC ID: 898247
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 898248
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 898249
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 898250
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1143957
W° Bound: -88.454147
E° Bound: -87.481796
N° Bound: 45.809515
S° Bound: 44.950953

Extent Group 1 / Time Frame 1

CC ID: 1143956
Time Frame Type: Range
Start: 2015-04-15
End: 2015-04-24

Lidar collection dates.

Spatial Information

Spatial Resolution

Horizontal Distance: 0.5 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 898240
Point Object Present?: Yes
Point Object Count: 15022067894

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:


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: 898254
Start Date: 2020-02-27
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download

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 Type: Zip
Compression: Zip

Distribution 2

CC ID: 898255
Start Date: 2020-02-27
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download

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 Type: LAZ



CC ID: 898242
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML

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.


CC ID: 898243
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML

This graphic displays the footprint for this lidar data set.


CC ID: 898244
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF

Link to data set report.


CC ID: 898245
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF

Link to data set report.

Technical Environment


Processing Programs and versions- MicroStation (V8i Select Series 3 v8., TerraScan (15.002), TerraModeler (15.002), LP360 (2014.1.51.1)

Data Quality

Horizontal Positional Accuracy:

The Marinette County Project was acquired in seven (7) separate missions, flown as close together as the weather permitted, to ensure consistent ground conditions across the project area. The 1,430 square miles of data was acquired at 7,800 feet above ground level (AGL) and has a horizontal accuracy of 0.42 meters.

Compiled to meet 0.42 meters horizontal accuracy at 95 percent confidence level. Quantitative value: 0.42m, Test that produced the valued: Lidar system specifications are available int he project report.

Vertical Positional Accuracy:

CVA = 12.6 cm RMSE, tested with 57 independent ground survey points.

Relative accuracy also known as "between swath" accuracy was tested through a series of well distributed flight line overlap locations. The relative accuracy for this site is tested at 0.162 survey feet RMSDz.

Completeness Report:

The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.

Conceptual Consistency:

All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.

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-CO
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.




CC ID: 1143949
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Continental Mapping Associates

Process Steps

Process Step 1

CC ID: 1143950

Using one Leica ALS70 (lidar) system on board a Cessna 310 aircraft, high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected for this task order (approximately 1, square miles). AGL = 7800 feet - Aircraft Speed = 150 Knots, Field of View (Full) = 40 degrees, Pulse Rate = 230 kHz, Scan Rate = 34.4 Hz, with an average side lap of 25%. Multiple returns were recorded for each laser pulse along with an intensity value for each return. Seven (7) missions were flown between April 15, 2015 and April 24, 2015. One (1) Global Navigation Satellite System (GNSS) Base Station was used in support of the lidar data acquisition. Specific information regarding latitude, longitude, and ellipsoid height to the L1 phase center is included in the lidar processing report. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID12A. Data for the task order is referenced to the UTM Zone 16N, North American Datum of 1983 (2011) meters, and NAVD88, in US Survey Feet. Once the data acquisition and GPS processing phases are complete, the lidar data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The SBET was used to reduce the lidar slant range measurements to a raw reflective surface for each flight line. The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of lidar data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw lidar data is reduced using the refined misalignment angles.

Process Date/Time: 2015-04-15 00:00:00

Process Step 2

CC ID: 1143951

The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The surveyed ground control points provided by Compass Data are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work ensured consistency of calibration and adjustments in adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of unclassified LAS 1.2 files provided in a tiled format, fgdc metadata, and a post-flight aerial acquisition and calibration report. As part of this report, additional shape files were delivered and include flight line trajectories, planned flight lines, swath index, base station locations, tile index, and buffered AOI.

Process Date/Time: 2015-04-16 00:00:00

Process Step 3

CC ID: 1143952

Tile Size: 1,500m x 1,500m. The tile file name was derived from the southwest corner of each tile.

Process Date/Time: 2014-04-30 00:00:00

Process Step 4

CC ID: 1143953

Data was received in meters horizontally and US survey feet vertically. Automated macro to classify ground points, classify overlap, and apply multiplier to vertical values to convert to meters were run. Manual edits were conducted to ensure accurate classification of ground points and breaklines were digitized for any bodies of water and for any significant cliffs that were encountered. A macro was then run to classify water points within bodies of water and hydro polygons were draped and water bodies with flow were hydro-enforced to show downstream flow. Breaklines were collected over the entire project area along streams greater than 100ft in

width and water bodies greater than2 acres in area. These breaklines were used to define

water points and hydro-flatten the data. 3D Breaklines were collected at breaks in slope to

support production of the 2-foot contours. Breaklines were collected in the full collection

area (including the buffer area).

Final macro was run to convert vertical values back to US Survey Feet and to assign points to delivery classes of:

Class 1 – Default

Class 2 – Ground

Class 7 – Noise ??

Class 9 – Water (Including 1 meter buffer around hydro breaklines)

Class 10 – Ignored Ground (including 1 meter buffer around terrain breaklines)

Class 156 – Overlap/Withheld**

**LP360 was used to apply withheld flag to overlap points that were initially classified to class 12. However, due to data being LAS version 1.2, the overlap flag is not included in the code structure of the files. Therefore, the withheld flag was applied and the points were reclassified to class 28. For an undetermined reason, when the points are subsequently viewed in TerraScan, the class for the withheld points is class 156 instead of class 28. However the withheld flag stayed intact.

Process Date/Time: 2015-08-24 00:00:00

Process Step 5

CC ID: 1143954

OCM retrieved 1,800 las files from WisconsinVIew. Data was received in UTM 16N NAD 83 (2011) meters horizontally and NAVD88 US survey feet vertically. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, and 28 - Withheld. 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 and 12 - which were reclassified and still marked as withheld.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. The laszip program was used to convert the files to laz format.

2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12A model, to convert from UTM 16N NAD83 (2011) coordinates in meters to geographic coordinates, to convert vertical units from feet to meters, to assign the geokeys, to sort the data by gps time, to change the point classification of 28 to 12, and zip the data to database and to http.

Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 58940
GUID: gov.noaa.nmfs.inport:58940
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-02-27 15:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-02-21 18:41+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16