GOM Sorbent Pad 20161117
Data Set (DS) | Office of Response and Restoration (ORR)GUID: gov.noaa.nmfs.inport:57349 | Updated: August 15, 2023 | Published / External
Summary
Short Citation
Office of Response and Restoration, 2024: GOM Sorbent Pad 20161117, https://www.fisheries.noaa.gov/inport/item/57349.
Full Citation Examples
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.
Distribution Information
These data may be provisional and restricted to Trustees within a Natural Resource Damage Assessment.
The user is responsible for the results of any application of this data for other than its intended purpose.
Controlled Theme Keywords
DOC/NOAA/NOS/ORR, HAZARDS MITIGATION, OIL SPILLS
Child Items
No Child Items for this record.
Contact Information
Metadata Contact
Office of Response and Restoration (ORR)
ORR Home Page
Extents
-88.9929892528° W,
-88.9593705919° E,
28.9526951363° N,
28.9237027363° S
2016-11-17
Item Identification
Title: | GOM Sorbent Pad 20161117 |
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Status: | In Work |
Creation Date: | 2016-11-17 |
Revision Date: | Unknown |
Publication Date: | 2019-08-16 |
Abstract: |
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. |
Purpose: |
The primary objective of this research was to compare the ability of multiple remote sensing platforms to detect and quantify surface oil, and verify that anomalies identified in remote sensing images corresponded with oil slick features that could be observed and quantified in situ. This research was organized into 3 phases: Phase 1: Characterized the detection of known oil thicknesses and oil-emulsions in a controlled environment, by performing multiple tests and calibrations for thermal, optical, and microwave sensors at the National Oil Spill Response Research & Renewable Energy Test Facility (Ohmsett) which is located at the Naval Weapons Station Earle Waterfront in Leonardo, New Jersey. Controlled experiments took place during July 2016. Phase 2: Measured the open water oil thicknesses and oil-emulsions at the damaged Taylor Energy well field surface oiling site (MC20) by performing multiple tests and calibrations for thermal, optical and microwave sensors. Data were collected in November 2016, April 2017, and August 2017. Phase 3: Developed operational methods and procedures for processing and interpreting each of the sensors products used during the experiments for future emergency operations. The objective of synoptic sampling at MC20 was to provide data and observations on the water that verified (ground-truth) remote sensing data. The Team attempted to collect as much multi-platform and sensor data as was practicable while scheduling field sampling events to coincide with satellite collections. The Team also collected imagery from Unmanned Aerial Systems (UAS) and as many as four separate fixed-wing aircraft timed to these collections. These data were collected by multiple researchers from NOAA, Ocean Imaging Corp., Water Mapping LLC, University of North Texas (UNT), EPA, WHOI, Fototerra Aerial Survey LLC, and others. A total of 5 different data types are shown here in ERMA: in situ sampling, ship/flight trackline and photos, imagery, oil characterization, and oil on water samples. Summaries of the data collection methods are included below. |
Supplemental Information: |
The primary purpose of the in situ sampling at the Ohmsett facility and at the MC20 site was to develop methods for characterizing slick thickness and calibrating remote sensing data. Since oil is inherently heterogeneous on any scale, many thickness samples are required to provide the range of oil thicknesses over a given area. NOAA tested three different methods for measuring the thickness of oil slicks or sheens: the dip plate, the sorbent pad, and the Water Mapping sampler. The three methods tested as part of this research have different advantages and disadvantages: The dip plate method of measuring thickness is fast and inexpensive; however, the method has a limited range of thicknesses for which it is accurate. The sorbent pad method of measuring thickness provides the most accurate estimate of slick thickness for thin sheens. It is less accurate in thicker oil, and the need for laboratory analysis of the pads makes it relatively slow and expensive to obtain data. The Water Mapping method is the most accurate of the three methods. However, sampling using this method is time-consuming, as the sampler can collect only one sample covering a small area, and each sample requires the addition of a solvent, a photograph in a controlled setting, and a manual pixel-based measurement to measure thickness. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Data Center Keywords |
DOC/NOAA/NOS/ORR > Office of Response and Restoration, National Ocean Service, NOAA, U.S. Department of Commerce
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
|
Global Change Master Directory (GCMD) Service Keywords |
EARTH SCIENCE SERVICES > HAZARDS MANAGEMENT > HAZARDS MITIGATION
|
Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
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Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > SEA SURFACE
|
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords |
FIELD SURVEYS > FIELD SURVEYS
|
Global Change Master Directory (GCMD) Platform Keywords |
UAV > Unmanned Aerial Vehicle
|
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | GIS Files |
Maintenance Frequency: | As Needed |
Data Presentation Form: | Map (digital) |
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. |
Support Roles
Data Steward
Date Effective From: | 2016-11-17 |
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Date Effective To: | |
Contact (Organization): | Office of Response and Restoration (ORR) |
Address: |
1305 East-West Highway Silver Spring, MD 20910 |
URL: | ORR Home Page |
Distributor
Date Effective From: | 2016-11-17 |
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Date Effective To: | |
Contact (Organization): | Office of Response and Restoration (ORR) |
Address: |
1305 East-West Highway Silver Spring, MD 20910 |
URL: | ORR Home Page |
Metadata Contact
Date Effective From: | 2016-11-17 |
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Date Effective To: | |
Contact (Organization): | Office of Response and Restoration (ORR) |
Address: |
1305 East-West Highway Silver Spring, MD 20910 |
URL: | ORR Home Page |
Originator
Date Effective From: | 2016-11-17 |
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Date Effective To: | |
Contact (Organization): | Office of Response and Restoration (ORR) |
Address: |
1305 East-West Highway Silver Spring, MD 20910 |
URL: | ORR Home Page |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -88.9929892528 | |
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E° Bound: | -88.9593705919 | |
N° Bound: | 28.9526951363 | |
S° Bound: | 28.9237027363 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2016-11-17 |
Access Information
Security Class: | Unclassified |
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Data Access Constraints: |
These data may be provisional and restricted to Trustees within a Natural Resource Damage Assessment. |
Data Use Constraints: |
The user is responsible for the results of any application of this data for other than its intended purpose. |
Metadata Access Constraints: |
These metadata may be provisional and restricted to Trustees within a Natural Resource Damage Assessment. |
Metadata Use Constraints: |
The user is responsible for the results of any application of this metadata for other than its intended purpose. |
Distribution Information
Distribution 1
Start Date: | 2016-11-17 |
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End Date: | Present |
Download URL: | https://erma.noaa.gov/gulfofmexico/erma.html |
Distributor: | Office of Response and Restoration (ORR) (2016-11-17 - Present) |
File Name: | SPad_20161117 |
File Date/Time: | 2016-11-17 00:00:00 |
File Type (Deprecated): | Zip |
Compression: | Zip |
Review Status: | Not Chked |
URLs
URL 1
URL: | https://erma.noaa.gov/gulfofmexico/erma.html |
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Name: | Visual representation of GIS data |
URL Type: |
Online Resource
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File Resource Format: | Web |
Data Quality
Analytical Accuracy: |
When measuring slicks side-by-side in a controlled laboratory environment, we found that all three methods accurately and precisely measured slick thickness within a factor of two. However, when we used these methods at the Ohmsett facility or in the field, we frequently had thickness measurements that varied by 1–2 orders of magnitude despite being collected at the same time and place. The variability seen in these measurements likely represents the patchiness of the slick being sampled (see, for example, Figure 3.24). The wide range of in situ measurements at coincident locations complicates defining a single slick thickness for a specific location. |
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Data Management
Approximate Percentage of Budget for these Data Devoted to Data Management: | Unknown |
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Do these Data Comply with the Data Access Directive?: | No |
Is Access to the Data Limited Based on an Approved Waiver?: | No |
Actual or Planned Long-Term Data Archive Location: | To Be Determined |
If To Be Determined, Unable to Archive, or No Archiving Intended, Explain: |
TBD |
Lineage
Lineage Statement: |
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. |
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Sources
NOAA Methods Development
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | NOAA/NOS/ORR/ARD/SDB - Assessment and Restoration Division/Spatial Data Branch |
Publish Date: | 2019-08-16 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2016-11-17 |
Process Steps
Process Step 1
Description: |
Thickness data were collected in the field. Dip plates were weighed in the field and recorded in spreadsheets. Data was ingested into DIVER. Sorbent pads were placed in glass jars and delivered to laboratory. Lab data was ingested into DIVER. Water Mapping method samples were photoanalyzed for thickness. Data was ingested into DIVER. |
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Process Contact: | Office of Response and Restoration (ORR) |
Source: | NOAA Methods Development |
Catalog Details
Catalog Item ID: | 57349 |
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GUID: | gov.noaa.nmfs.inport:57349 |
Metadata Record Created By: | Terrance Wang |
Metadata Record Created: | 2019-08-30 15:24+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-08-15 17:09+0000 |
Metadata Record Published: | 2023-02-28 |
Owner Org: | ORR |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2019-09-27 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2020-09-27 |