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Short Citation:
Office for Coastal Management, 2023: 2018 Fond du Lac, MN Natural Color, Color Infrared and Hyperspectral Imagery, https://www.fisheries.noaa.gov/inport/item/56469.

Item Identification

Title: 2018 Fond du Lac, MN Natural Color, Color Infrared and Hyperspectral Imagery
Status: Completed
Abstract:

Wild Rice (Manoomin) plays an integral role in the ecosystems, culture, and economy of the Lake Superior region and it faces an existential threat from invasive species which compete for the same habitat and a variety of other factors. Six Areas of Interest (AOI) were identified as pilot sites and selected as the target AOI for this project.

AOI/Pilot Sites

1. Crooked Lake, Sucker Lake, and the Ontonagon River (CSO)

2. Eastern Upper Peninsula (EUP)

3. Fond du Lac (FDL)

4. Kakagon Sloughs and Bad River (KSBR)

5. St. Louis River Estuary (SLRE)

6. Upper St. Louis River (USLR)

Funding for this project was received via Great Lakes Restoration Initiative. For more information on the Initiative and Action Plan go to https://www.glri.us/.

Purpose:

The goal of this mission was to collect, pre-process, and analyze airborne hyperspectral imagery around the periphery of Lake Superior for the purpose of delineating Wild Rice and other types of aquatic vegetation.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED IMAGERY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Global Change Master Directory (GCMD) Platform Keywords Aircraft > AIRCRAFT
ISO 19115 Topic Category imageryBaseMapsEarthCover
None color infrared
None GLRI
None Great Lakes Restoration Initiative
None hyperspectral
None natural color
None orthoimage
None rectified image

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MINNESOTA
UNCONTROLLED
U.S. Department of Commerce MN
U.S. Department of Commerce US
None Fond du Lac
None Minnesota

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: Unknown
Data Presentation Form: Image (digital)
Distribution Liability:

Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.

Data Set Credit: Galileo Group, Inc. flew and processed the data.

Support Roles

Data Steward

CC ID: 842477
Date Effective From: 2016-09-16
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: 842479
Date Effective From: 2016-09-16
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: 842480
Date Effective From: 2016-09-16
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: 842478
Date Effective From: 2016-09-16
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: 842503
W° Bound: -92.726
E° Bound: -92.555
N° Bound: 46.809
S° Bound: 46.655

Extent Group 1 / Time Frame 1

CC ID: 842502
Time Frame Type: Range
Start: 2018-08-30
End: 2018-09-07

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 842495
Dimension Count: 2
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 1250

Axis Dimension 2

Dimension Type: Column
Size: 1250

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

None. However, users should be aware that temporal changes may have occurred since this data set was collected and that 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: 842481
Download URL: https://coast.noaa.gov/dataregistry/
Distributor:
Description:

Downloadable Data

File Type: GeoTIFF (.tif)

Distribution 2

CC ID: 842487
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8739
Distributor:
File Name: Customized Download

Distribution 3

CC ID: 842483
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8745
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing area, map projection, file format, etc.

Distribution 4

CC ID: 842486
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8751
Distributor:
File Name: Customized Download

Distribution 5

CC ID: 842482
Download URL: https://coast.noaa.gov/htdata/raster1/imagery/GL_FDL_CIR_2018_8745
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

Distribution 6

CC ID: 842484
Download URL: https://coast.noaa.gov/htdata/raster1/imagery/GL_FDL_HSI_2018_8751
Distributor:
File Name: Bulk Download

Distribution 7

CC ID: 842485
Download URL: https://coast.noaa.gov/htdata/raster1/imagery/GL_FDL_RGB_2018_8739
Distributor:
File Name: Bulk Download

Activity Log

Activity Log 1

CC ID: 842489
Activity Date/Time: 2017-02-22
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 842488
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC CSDGM (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 842490
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 842491
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

ArcGIS 10.3; Microsoft Windows 10; Microsoft Office; Intergraph's suite of photogrammetric products including GeoMedia OrthoPro

Data Quality

Representativeness:

Geo-accuracy was checked and confirmed to meet pre-established quality standards by systematic comparison of specific geo-locations acquired in the field with a GPS unit and high resolution RGB imagery of known geo-accuracy.

Accuracy:

Radiometry is verified by visual inspection of the digital orthophoto. Slight systematic radiometric differences may exist between adjacent orthoimage files; these are due primarily to differences in source image capture dates and sun angles along flight lines. These differences can be observed in an image's general lightness or darkness when it is compared to adjacent orthoimage file coverages. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching.

Horizontal Positional Accuracy:

Geo-accuracy was checked and confirmed to meet pre-established quality standards by systematic comparison of specific geo-locations acquired in the field with a GPS unit and high resolution RGB imagery of known geo-accuracy.

Completeness Report:

Orthoimages are visually inspected for completeness to ensure that no gaps or image misplacements exist within and between adjacent images. These images are derived by mosaicking multiple images to ensure complete coverage. Source imagery is cloud free. Photography was flown during leaf-off in deciduous vegetation regions.

Conceptual Consistency:

All GeoTIFF tagged data and image file sizes are validated using commercial GIS software to ensure proper loading before being archived. This validation procedure ensures correct physical format and field values for tagged elements. Seamlines and tile edges are visually inspected. Seamline mismatches are not corrected unless the overall displacement exceeds one meter.

Lineage

Sources

Data Processing

CC ID: 842498
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Galileo Group, Inc.
Extent Type: Discrete
Extent Start Date/Time: 2018

Process Steps

Process Step 1

CC ID: 842499
Description:

The following section details the steps taken to pre-process the data. Processing Level 1a – Radiometric Correction 1. Dark Noise Removal Dark image data was acquired for every raw image at the end of every flight line by the sensor control software closing the shutter and recording 5 seconds of dark noise. To remove sensor noise the mean value of every line of the dark data was subtracted from the corresponding line of the raw data (dark noise removal or dark current removal). 2. Calibration from RAW data to radiance data using calibration file After the dark noise removal, the raw data was calibrated to radiance units using a sensor specific calibration file. Every spatial and spectral pixel is multiplied with the corresponding value in the calibration file. The calibration values for each pixel on the CCD are calculated using an integrating sphere in the laboratory. The radiance units are equal to (mW/cm^2*str*um)*1000.00. 3. Smile Correction Spectral smile is defined as changes in wavelength over the field of view (FOV). Smile correction was performed by proprietary algorithms. 4. Crosstrack Correction A crosstrack correction was performed using proprietary algorithm in order to normalize illumination in the across-track direction of each flight line. 5. Quality Control Quality control was accomplished using ASD measurements, established radiometric quality protocols and systematic manual evaluations. Applied Hyperspectral Imaging Services 25 25 Processing Level 1b – Atmospheric Correction 1. Atmospheric Correction The radiance units were converted to reflectance units using the ASD spectrometer measurements of uniform surfaces (parking lots, asphalt, sand and concrete) that were collected in the field. Multiple spectrometer measurements were taken at each site under clear conditions to ensure data quality. An “empirical line correction” method was used to calibrate every flight line to reflectance. After the correction an adaptive spectral filter was used to smooth the reflectance values and to eliminate outliers and spikes in the spectra. The reflectance units are equal to Reflectance*10000. 2. Quality Control Quality control was accomplished using ASD spectrometer measurements, established atmospheric correction quality protocols and systematic manual evaluations.

Process Date/Time: 2018-01-01 00:00:00

Process Step 2

CC ID: 842500
Description:

Processing Level 2 – Geometric Correction 1. Calculation of the sensor offset (Boresight correction) During the aerial acquisition, four special Boresight flight lines were flown to geometrically calibrate the sensor and GPS/INS. The Boresight parameters were calculated using four overlapping flight lines flown in a crosshair pattern. 15 to 20 Ground Control Points per flight line pair (GCPs) were identified and used to calculate geometric correction values for Roll (0.162353), Pitch (0.131388) and Yaw (0.166983). These values were then used as input parameters for the geometric correction process. 2. GPS/INS Data The GPS/INS Data was encoded and processed for the use in the georectification process 3. GLT files (Geographic Lookup Table) A GLT file contains the geographic location of every pixel in the unrectified reflectance data. A GLT file was generated for every flight line using the GPS/INS Data, the Boresight Correction parameters and a Digital Elevation Model (DEM) Processing Level 3 – Orthorectification Applied Hyperspectral Imaging Services 26 26 1. Georectification using GLT data The unrectified reflectance data was then Georectified into North American Datum of 1983 (NAD83) and projected into the Universal Transverse Mercator (UTM) coordinate system using the corresponding GLT file. A DEM was used to correct for surface elevation variation across the scene. 2. Mosaicking Individual flight lines for each AOI were combined into a single mosaic image which covered the entire AOI. This image was then masked to the AOI boundary and tiled according to the tiling scheme vectors included with this delivery. 3. Quality Control Geo-accuracy was checked and confirmed to meet pre-established quality standards by systematic comparison of specific geo-locations acquired in the field with a GPS unit and high resolution RGB imagery of known geo-accuracy.

Process Date/Time: 2018-01-01 00:00:00

Catalog Details

Catalog Item ID: 56469
GUID: gov.noaa.nmfs.inport:56469
Metadata Record Created By: Erik Hund
Metadata Record Created: 2019-05-29 07:54+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2019-05-29
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2019-05-29
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2020-05-29