2021 Fletcher Pond, MI Natural Color, Color Infrared and Hyperspectral Imagery
Office for Coastal Management
Data Set
(DS)
| ID: 69220
| Published / External
Created: 2023-02-01
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Last Modified: 2024-05-09
Project (PRJ) | ID: 47842
ID: 69220
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2021 Fletcher Pond, MI Natural Color, Color Infrared and Hyperspectral Imagery |
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Short Name | |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | |
* » Abstract |
Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat. To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021. In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. AOI/Pilot Sites 1. Christiana Creek, MI 2. Fletcher Pond, MI 3. Flowerfield Creek, MI 4. French Farm Lake, MI* 5. Hamlin Lake, MI 6. Indiana Dunes, IN 7. Manistee River, MI 8. Miller Woods, IN 9. Nottawa Creek, MI 10. Potagannissing, MI 11. Rocky Creek, MI 12. Tawas Lake, MI *To request imagery and associated vector and field data for this site, please contact: Jon Mauchmar Wildlife Technician Little Traverse Bay Bands of Odawa Indians Natural Resources Department - Inland Fish & Wildlife Program Office: 231-242-1670 jmauchmar@ltbbodawa-nsn.gov |
* Purpose |
Data was created by Galileo Group, Inc in 2021 for NOAA's 2021 Lake Michigan-Huron Manoomin project covering the Lake Michigan and Huron basins. The purpose of this project was to use airborne hyperspectral data along with ground-based GPS points, geotagged digital imagery, and field spectrometry to delineate wild rice and other vegetative species of interest at twelve Areas of Interest (AOI) in the Lake Michigan and Huron basins. Funded through the Great Lakes Restoration Initiative, this project is a continuation of NOAA's 2018 Lake Superior Manoomin Project, which included airborne hyperspectral imagery and field data collection at six sites in the Lake Superior basin. |
Notes | |
Other Citation Details | |
• Supplemental Information |
For access to final report, classification vectors, and field data, including geotagged photos, field spectrometer readings, and stalk density measurements, please contact: Jennifer (Bailey) Stevens Natural Resources Specialist Planning Department Saginaw Chippewa Indian Tribe of Michigan Phone: 989-775-4147 JeStevens@sagchip.org |
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 > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED IMAGERY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY |
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 |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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U.S. Department of Commerce | Fletcher Pond |
U.S. Department of Commerce | MI |
U.S. Department of Commerce | Michigan |
U.S. Department of Commerce | US |
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Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | CAMERAS |
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 | |
• Maintenance Frequency | Unknown |
Maintenance Note | |
» Data Presentation Form | Image (digital) |
• Entity Attribute Overview | |
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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
* » Support Role | Data Steward |
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* » Date Effective From | 2023-01-01 |
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 | 2023-01-01 |
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 | 2023-01-01 |
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 |
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Mobile | |
URL | https://coast.noaa.gov |
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* » Support Role | Point of Contact |
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* » Date Effective From | 2023-01-01 |
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 |
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URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -83.93722222222 |
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* » E° Bound | -83.77722222222 |
* » N° Bound | 45.04722222222 |
* » S° Bound | 44.90777777778 |
* » Description |
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* » Time Frame Type | Discrete |
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* » Start | 2021-08-15 |
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Grid Representation Used? | Yes |
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Access Information
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* » Security Class | Unclassified |
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• Data Access Policy | |
» Data Access Procedure | |
• » Data Access Constraints |
For inquiries regarding access to the final report, classification vectors, and field data, including geotagged photos, field spectrometer readings, and stalk density measurements, please contact: Jennifer (Bailey) Stevens Natural Resources Specialist Planning Department Saginaw Chippewa Indian Tribe of Michigan Phone: 989-775-4147 JeStevens@sagchip.org |
• 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. |
Metadata Access Constraints | |
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Distribution Information
Start Date | |
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» Download URL | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=9728 |
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File Name | Customized Download |
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» Download URL | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=9729 |
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File Name | Customized Download |
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Create custom data files by choosing area, map projection, file format, etc. |
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» Download URL | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=9730 |
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» Download URL | https://coastalimagery.blob.core.windows.net/digitalcoast/GL_FP_CIR_2021_9730/index.html |
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File Name | Bulk Download |
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Simple download of data files. |
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» Download URL | https://coastalimagery.blob.core.windows.net/digitalcoast/GL_FP_HSI_2021_9728/index.html |
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» Download URL | https://coastalimagery.blob.core.windows.net/digitalcoast/GL_FP_RGB_2021_9729/index.html |
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Activity Log
Activity Time | 2017-02-22 |
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Description |
Date that the source FGDC record was last modified. |
Activity Time | 2017-11-14 |
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Description |
Converted from FGDC CSDGM (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Time | 2018-02-08 |
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Description |
Partial upload of Positional Accuracy fields only. |
Activity Time | 2018-03-13 |
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Partial upload to move data access links to Distribution Info. |
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Technical Environment
Description |
ArcGIS 10.3; Microsoft Windows 10; Microsoft Office; Intergraph's suite of photogrammetric products including GeoMedia OrthoPro |
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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. |
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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. |
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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. |
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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. |
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Data Management
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» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
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» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Sources
Citation Title | Data Processing |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Galileo Group, Inc. |
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Extent Type | Discrete |
Extent Start Date/Time | 2018 |
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Process Steps
Process Step Number | 1 |
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» Description |
Airborne Hyperspectral Data Collection - An AISA KESTREL 10 Visual through Near Infrared (VNIR) Hyperspectral Imaging Sensor System (400 - 1,000 nm spectral range) was utilized by Galileo Group Inc. (Galileo) for airborne collection operations. A total of 178 spectral bands for the VNIR (Visible Near Infrared) range were collected with a spectral resolution of around 3.5 nm and a Ground Sampling Distance (GSD) of 1.0m. The FOV (Field of View) was 40 degrees. An Oxford Solutions Survey+ 2nd Generation GPS/IMU simultaneously collected navigation and attitude data. TerraStar-C from Novatel Inc. was utilized for all airborne collection operations to further enhance spatial accuracy. TerraStar is a Real Time Kinetic (RTK) airborne correction service that improves horizontal (~4-5 cm RMS) and vertical accuracy (~6.5 cm RMS). The sensor system was installed in a Cessna 172 Skyhawk which was used as the airborne imaging platform for the duration of the project. Ground Truthing Data Collection - Ground truthing was conducted primarily onboard a canoe and along the shoreline where accessible. An ASD FieldSpec Pro VNIR (400-1000nm) was utilized to collect spectrometry of wild rice when found. A Trimble Pro XRT DGPS system and two handheld digital cameras with integrated GPS were used to collect GPS points and geo-tagged imagery of target species and landmarks of interest. A specially modified iPhone 6 equipped with a Galileo custom created ground truthing application (ARMADA) and linked with a sub-meter accuracy Trimble Bluetooth antenna was utilized as a secondary GPS point logging device. |
Process Date/Time | 2022-12-01 00:00:00 |
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Process Step Number | 2 |
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» Description |
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 3 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 algorithms 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. Processing Level 1b Atmospheric Correction 1. Model-based Atmospheric Correction- The radiance data were converted to reflectance using the Atmospheric & Topographic Correction (ATCOR-4) software package. ATCOR uses the Modtran 4, a complex radiative transfer model, to correct for atmospheric absorption (O2, O3, and CO2), scattering (Mie and Rayleigh) and path radiance effects. The calibrated radiance data was then converted to reflectance pixel count (reflectance ranges 0.0 to 1.0 multiplied by 10000) using modeled solar irradiance and solar angle data from the time of acquisition. The reflectance pixel counts were then converted to 16-bit reflectance data. The reflectance units are equal to Reflectance*10000. 2. Quality Control- The quality control was accomplished using established atmospheric correction quality protocols and systematic manual evaluations. Ground based spectrometer data at impervious and spectrally intransient surfaces such as asphalt were utilized for rigorous QA/QC of the reflectance data. Spectral curves from the ground spectrometer data were compared to the final reflectance results and found to be sufficiently consistent. Further parameter adjustment was then applied to the data to maximize spectral consistency between the flight lines. |
Process Date/Time | 2022-12-01 00:00:00 |
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Process Step Number | 3 |
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» 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 (0.180527), Pitch (-0.0533453) and Yaw (0.00885310). 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 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 | 2022-12-01 00:00:00 |
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Acquisition Information
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Catalog Details
Catalog Item ID | 69220 |
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Metadata Record Created By | Erik Hund |
Metadata Record Created | 2023-02-01 19:07+0000 |
Metadata Record Last Modified By | Brianna Key |
» Metadata Record Last Modified | 2024-05-09 21:03+0000 |
Metadata Record Published | 2024-05-09 |
Owner Org | OCM |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2024-05-09 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2025-05-09 |
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