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    • GOM OI Imagery 2016-11-17 TIR AM Run 12 - 1000'

    Metadata Updated: October 31, 2024

    These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAA’s Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

    Access & Use Information

    License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Date February 29, 2024
    Metadata Created Date October 31, 2024
    Metadata Updated Date October 31, 2024
    Reference Date(s) November 17, 2016 (creation), (revision), August 16, 2019 (publication)
    Frequency Of Update asNeeded

    Metadata Source

    Harvested from NOS ORR

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Date February 29, 2024
    Metadata Created Date October 31, 2024
    Metadata Updated Date October 31, 2024
    Reference Date(s) November 17, 2016 (creation), (revision), August 16, 2019 (publication)
    Responsible Party Office of Response and Restoration (Custodian)
    Contact Email
    Guid gov.noaa.nmfs.inport:57618
    Access Constraints Cite As: Office of Response and Restoration, [Date of Access]: GOM OI Imagery 2016-11-17 TIR AM Run 12 - 1000' [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57618., Access Constraints: These data may be provisional and restricted to Trustees within a Natural Resource Damage Assessment., Use Constraints: The user is responsible for the results of any application of this data for other than its intended purpose., Distribution Liability: While NOAA makes every effort to ensure that its databases are error-free, errors do occur. We ask that you notify us immediately of any errors that you discover in our data. We will make every effort to correct them. With respect to documents available from this server, neither the United States Government nor any of its employees, makes any warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose; nor assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed; nor represents that its use would not infringe privately owned rights.
    Bbox East Long -88.9593705919
    Bbox North Lat 28.9526951363
    Bbox South Lat 28.9237027363
    Bbox West Long -88.9929892528
    Coupled Resource
    Frequency Of Update asNeeded
    Harvest Object Id e336a30b-03e0-4339-81d9-9c68ef99ca03
    Harvest Source Id 16d8de29-951c-4a91-bada-75c7593e9406
    Harvest Source Title NOS ORR
    Licence 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.
    Lineage The Spatial Data Branch publishes this data on behalf of the originator. Data visually represented in ERMA are aimed to guide responders, decision makers, and users in making informed steps of analysis and action.
    Metadata Language eng
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": [[[-88.9929892528, 28.9237027363], [-88.9593705919, 28.9237027363], [-88.9593705919, 28.9526951363], [-88.9929892528, 28.9526951363], [-88.9929892528, 28.9237027363]]]}
    Progress underDevelopment
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True

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