gov.noaa.nmfs.inport:57111
eng
UTF8
dataset
GIS Files
Office of Response and Restoration
resourceProvider
Office of Response and Restoration
1305 East-West Highway
Silver Spring
MD
20910
https://response.restoration.noaa.gov/
WWW:LINK-1.0-http--link
ORR Home Page
Website listed for Office of Response and Restoration
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
GOM Dip Plate 20161117
2016-11-17
creation
revision
2019-08-16
publication
NOAA/NMFS/EDM
57111
https://www.fisheries.noaa.gov/inport/item/57111
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
Office of Response and Restoration
1305 East-West Highway
Silver Spring
MD
20910
https://response.restoration.noaa.gov/
WWW:LINK-1.0-http--link
ORR Home Page
Website listed for Office of Response and Restoration
information
originator
https://erma.noaa.gov/gulfofmexico/erma.html
WWW:LINK-1.0-http--link
Visual representation of GIS data
Online Resource
download
mapDigital
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 RS 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 an ongoing chronic oil discharge. 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.
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 on a boat. 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.
underDevelopment
Office of Response and Restoration
1305 East-West Highway
Silver Spring
MD
20910
https://response.restoration.noaa.gov/
WWW:LINK-1.0-http--link
ORR Home Page
Website listed for Office of Response and Restoration
information
custodian
asNeeded
DOC/NOAA/NOS/ORR > Office of Response and Restoration, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
17.0
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
EARTH SCIENCE SERVICES > HAZARDS MANAGEMENT > HAZARDS MITIGATION
service
Global Change Master Directory (GCMD) Service Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
VERTICAL LOCATION > SEA SURFACE
place
Global Change Master Directory (GCMD) Location Keywords
17.0
FIELD SURVEYS > FIELD SURVEYS
UAV > Unmanned Aerial Vehicle
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
DOC/NOAA/NOS/ORR > Office of Response and Restoration, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2017-04-24
publication
8.5
NOAA
project
InPort
otherRestrictions
Cite As: Office of Response and Restoration, [Date of Access]: GOM Dip Plate 20161117 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57111.
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: These data may be provisional and restricted to Trustees within a Natural Resource Damage Assessment.
otherRestrictions
Use Constraints: The user is responsible for the results of any application of this data for other than its intended purpose.
otherRestrictions
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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
57111
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/orr/dmp/pdf/57111.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
eng; US
oceans
-88.9929892528
-88.9593705919
28.9237027363
28.9526951363
| Currentness: Ground Condition
2016-11-17
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.
false
eng
false
Data Table
Dip Plate 20161117 Attribute Table
2023-02-28
publication
Zip
Zip
Office of Response and Restoration
1305 East-West Highway
Silver Spring
MD
20910
https://response.restoration.noaa.gov/
WWW:LINK-1.0-http--link
ORR Home Page
Website listed for Office of Response and Restoration
information
distributor
https://erma.noaa.gov/gulfofmexico/erma.html
WWW:LINK-1.0-http--link
DipPlate_20161117
download
dataset
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.
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.
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.
Office of Response and Restoration
processor
NOAA Methods Development
2016-11-17
publication
NOAA/NOS/ORR/ARD/SDB - Assessment and Restoration Division/Spatial Data Branch
originator
2016-11-17
otherRestrictions
otherRestrictions
Access Constraints: These metadata 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 metadata for other than its intended purpose.