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Item Identification
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Physical Location
Data Set Info
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Extents
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Data Quality
Data Management
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Catalog Details

Summary

Short Citation
Office of Response and Restoration, 2024: GOM SAB - Aster Oil Delineation 2017-04-25, https://www.fisheries.noaa.gov/inport/item/59473.
Full Citation Examples

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.

Distribution Information

Use Constraints:

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)

Extents

Geographic Area 1

-88.9929892528° W, -88.9593705919° E, 28.9526951363° N, 28.9237027363° S

Time Frame 1
2017-04-25

Item Identification

Title: GOM SAB - Aster Oil Delineation 2017-04-25
Status: In Work
Creation Date: 2017-04-25
Publication Date: 2017-04-25
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 Satellite Analysis Branch (SAB) of NOAA/NESDIS was requested to perform oil anomaly detection in MC20 in order to support the NOAA Office of Response & Restoration's (OR&R) efforts. This report consists of manual detection and mapping of oil slicks primarily through the use of Aster (NASA) VNIR satellite imagery.

Keywords

Theme Keywords

Thesaurus Keyword
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
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA SURFACE

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
FIELD SURVEYS > FIELD SURVEYS
Global Change Master Directory (GCMD) Platform Keywords
UAV > Unmanned Aerial Vehicle

Physical Location

Organization: NESDIS National Oceanographic Data Center
City: College Park
State/Province: MD
Location Description:

NESDIS/ OSPO / SPSD Office of Satellite and Product & Services Division/ Satellite Analysis Branch (SAB)

Building: NOAA Center for Weather and Climate Prediction

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: GIS
Maintenance Frequency: As Needed
Data Presentation Form: JPEG Maps, Shapefiles
Distribution Liability:

The NOAA/NESDIS Satellite-Derived Surface Oil Analysis Products are experimental products and have not been subjected to the National Environmental Satellite Data and Information Service's normal quality control or quality assurance procedures and do not meet the criteria for standards of official NESDIS products. They are available on a best effort basis and their quality, completeness, availability and/or timeliness cannot be guaranteed. No warranties are expressed or implied regarding the accuracy, completeness, availability or reliability of the information provided. They are released for limited public use as experimental data to be used only with appropriate caution. The user assumes the entire risk related to use of the information. In no event will NESDIS be liable to you or to any third party for any direct, indirect, incidental, consequential, special exemplary damages or lost profit resulting from any use of the data.In addition, reference in the NESDIS Surface Oil Analysis Products to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.

Data Set Credit: NESDIS/OSPO/SPSD/SAB

Support Roles

Data Steward

CC ID: 905387
Date Effective From: 2017
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

CC ID: 905389
Date Effective From: 2017
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

CC ID: 905386
Date Effective From: 2017
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

CC ID: 905388
Date Effective From: 2017
Date Effective To:
Contact (Organization): NESDIS National Oceanographic Data Center (NESDIS-NODC)
Address: 1315 East-West Highway
Silver Spring, MD 20902
Phone: 301-713-3277
URL: http://www.nodc.noaa.gov/
Contact Instructions:

National Environmental Satellite, Data, and Information Service (NESDIS), Satellite Analysis Branch (SAB)

NOAA NESDIS OSPO

E/SP, NCWCP

5830 University Research Court

College Park, MD 20740

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 905418
W° Bound: -88.9929892528
E° Bound: -88.9593705919
N° Bound: 28.9526951363
S° Bound: 28.9237027363

Extent Group 1 / Time Frame 1

CC ID: 905419
Time Frame Type: Discrete
Start: 2017-04-25

Access Information

Security Class: Unclassified
Data Access Procedure:

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.

Distribution Information

Distribution 1

CC ID: 905390
Start Date: 2017-04-25
End Date: Present
Download URL: https://erma.noaa.gov/gulfofmexico/erma.html
Distributor: Office of Response and Restoration (ORR) (2017 - Present)
File Name: SAB_ASTER_20170425
File Type (Deprecated): GIS

URLs

URL 1

CC ID: 905395
URL: https://erma.noaa.gov/gulfofmexico/erma.html
URL Type:
Online Resource
Description:

Visual representation of GIS data

Data Quality

Representativeness:

Imagery includes: Optical imagery from Aster (NASA). The advantage of optical imagery is the ability to generate wavelength combinations that help distinguish oil from vegetation and other false positives. Disadvantages include being limited to daylight hours and cloud free weather conditions.

Accuracy:

Uncertainty in oil detection relies on environmental conditions and satellite imagery quality. Specific remarks on accuracy are included in each report.

Data Management

Have Resources for Management of these Data Been Identified?: No
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: No
Is Access to the Data Limited Based on an Approved Waiver?: No
Approximate Delay Between Data Collection and Dissemination: Varies
If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed:

N/A

Actual or Planned Long-Term Data Archive Location: Other
If World Data Center or Other, Specify: Online
Approximate Delay Between Data Collection and Archiving: TDB

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.

Sources

National Environmental Satellite, Data and Information Service (NESDIS)

CC ID: 905399
Contact Role Type: Originator
Contact Type: Organization
Contact Name: NESDIS
Publish Date: 2017-04-25

Process Steps

Process Step 1

CC ID: 905400
Description:

Possible oil slicks are most often detected through the analysis of multispectral satellite imagery and synthetic aperture radar, but are sometimes identified through other surveillance mechanisms such as aerial photography. Anomaly identification is based on visual inspection, and a variety of ancillary datasets including an automated oil spill mapping tool.

Process Contact: NESDIS National Oceanographic Data Center (NESDIS-NODC)
Phone (Voice): 301-713-3277

Catalog Details

Catalog Item ID: 59473
GUID: gov.noaa.nmfs.inport:59473
Metadata Record Created By: Terrance Wang
Metadata Record Created: 2020-05-06 16:27+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-03-08 16:29+0000
Metadata Record Published: 2023-02-28
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-05-12
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-05-12