gov.noaa.nmfs.inport:56468 eng UTF8 dataset Office for Coastal Management resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 row 1250 column 1250 point 0 2018 Upper St. Louis River, MN Natural Color, Color Infrared and Hyperspectral Imagery publication NOAA/NMFS/EDM 56468 https://www.fisheries.noaa.gov/inport/item/56468 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information imageDigital 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) *To request imagery, please contact NOAA Office for Coastal Management (NOAA/OCM) at coastal.info@noaa.gov. 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. 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/. Galileo Group, Inc. flew and processed the data. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian unknown EARTH SCIENCE > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED IMAGERY EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MINNESOTA place Global Change Master Directory (GCMD) Location Keywords 23.3 CAMERAS instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 MN US place U.S. Department of Commerce GLRI Great Lakes Restoration Initiative color infrared hyperspectral natural color orthoimage rectified image theme DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2026. GCMD Keywords, Version 24. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Imagery project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2018 Upper St. Louis River, MN Natural Color, Color Infrared and Hyperspectral Imagery [Data Date Range], https://www.fisheries.noaa.gov/inport/item/56468. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: To request classification vectors and other ancillary data, please contact NOAA Office for Coastal Management (NOAA/OCM) at coastal.info@noaa.gov. otherRestrictions 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. otherRestrictions Distribution Liability: Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS. unclassified grid eng; US imageryBaseMapsEarthCover ArcGIS 10.3; Microsoft Windows 10; Microsoft Office; Intergraph's suite of photogrammetric products including GeoMedia OrthoPro -92.149 -91.839 47.422 47.503 | Currentness: Ground Condition 2018-08-30 2018-09-07 GeoTIFF NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataregistry/ WWW:LINK-1.0-http--link https://coast.noaa.gov/dataregistry/ Downloadable Data download https://coastalimagery.blob.core.windows.net/digitalcoast/GL_USLR_CIR_2018_8742/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8742 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing area, map projection, file format, etc. download https://coastalimagery.blob.core.windows.net/digitalcoast/GL_USLR_HSI_2018_8749/index.html WWW:LINK-1.0-http--link Bulk Download download https://coastalimagery.blob.core.windows.net/digitalcoast/GL_USLR_RGB_2018_8736/index.html WWW:LINK-1.0-http--link Bulk Download download https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8749 WWW:LINK-1.0-http--link Customized Download download https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8736 WWW:LINK-1.0-http--link Customized Download download dataset 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. 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 Data Processing Galileo Group, Inc. originator 2018