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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,324 datasets
NOAA's MC20 Oil On Water Sampling Photos 2018-04-29 are part of a study on detecting oil thickness and emulsion mixtures using remote sensing platforms. The data were collected during field research at the Mississippi Canyon lease block #20 (MC20) site in 2016, 2017, and 2018. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
Field research data collected for the NOAA Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The dataset includes synoptic satellite imagery, airborne imagery, surface oil characterization, and water chemistry from the Mississippi Canyon 20 (MC20) site, which has a chronic oil discharge. Research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement and undertaken in 2016, 2017, and 2018.
2016-2018 field research data collected at the Mississippi Canyon lease block #20 (MC20) site of a chronic oil discharge. The data were part of a NOAA study on methods to estimate oil slick coverage and thickness, involving satellite imagery, airborne imagery, surface oil characterization, and water chemistry. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies collected these oil on water sampling photos as part of research on estimating oil slick coverage and thickness. The data are from field research at the Mississippi Canyon lease block #20 (MC20) site, which has a chronic oil discharge, undertaken in 2016, 2017, and 2018. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies collected data on oil slick coverage and thickness using remote sensing platforms. The research, funded by the U.S. Department of the Interior and Bureau of Safety and Environmental Enforcement, includes field work at the MC20 site from 2016 to 2018. Data shown here are part of the MC20 field research undertaken in 2016, 2017, and 2018.
NOAA's Deepwater Horizon Lessons Learned Studies collected these photos to develop methods for estimating oil slick coverage and thickness. The research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement. Fieldwork was conducted at the Mississippi Canyon lease block #20, a site with a chronic oil discharge.
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on oil slick detection and thickness estimation. The data resulted from field research at the chronic MC20 oil discharge site in the Mississippi Canyon, funded by the U.S. Department of the Interior and BSEE. It includes synoptic collections of satellite imagery, airborne imagery, and surface oil characterization from research undertaken in 2016, 2017, and 2018.
2016-2018 field research data collected by NOAA's Office of Response and Restoration to study oil slick coverage and thickness in the Gulf of Mexico. The data were part of the Deepwater Horizon Lessons Learned Studies, focusing on the Mississippi Canyon lease block #20 (MC20) site. Research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement.
Field research data collected by NOAA as part of the Deepwater Horizon Lessons Learned Studies on oil slick detection. The dataset includes synoptic satellite imagery, airborne imagery, surface oil characterization, and water chemistry from the Mississippi Canyon lease block #20 (MC20) site. This research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement between 2016 and 2018.
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on oil slick detection methods. The data, shown in NOAA's Environmental Response Management Applications (ERMA), are part of field research at the chronic MC20 oil discharge site undertaken in 2016, 2017, and 2018. Research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
Field research from 2016, 2017, and 2018 collected these photos as part of a NOAA study on detecting oil thickness and emulsion mixtures using remote sensing platforms. The data were collected at the Mississippi Canyon lease block #20 (MC20), a site with a chronic oil discharge, and are hosted in NOAA's Environmental Response Management Applications (ERMA). This research was funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement, and the Oil Spill Preparedness Division.
NOAA's field research data collected to develop methods for estimating oil slick coverage and thickness at the Mississippi Canyon lease block #20 (MC20). The data includes synoptic satellite imagery, airborne imagery, surface oil characterization, and water chemistry from research undertaken in 2016, 2017, and 2018. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division.
NOAA's Deepwater Horizon Lessons Learned Studies collected these photos to develop methods for estimating oil slick coverage and thickness. The data includes synoptic satellite and airborne imagery, surface oil characterization, and subsurface data from the chronic MC20 discharge site. Research was funded by the U.S. Department of the Interior and Bureau of Safety and Environmental Enforcement between 2016 and 2018.
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on methods to estimate oil slick coverage and thickness. The research combined satellite imagery, airborne imagery, surface characterization, and chemistry data from a chronic oil discharge site in the Mississippi Canyon. Field research for this data was undertaken in 2016, 2017, and 2018.
NOAA's Deepwater Horizon Lessons Learned Studies collected satellite imagery for estimating oil slick coverage and thickness. The research was conducted at the Mississippi Canyon lease block #20 (MC20), a site of chronic oil discharge since 2004, with field data gathered in 2016, 2017, and 2018. This work was funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement, and NOAA.
2016-2018 field research data collected by NOAA as part of the Deepwater Horizon Lessons Learned Studies. The dataset includes photos from oil-on-water sampling at the Mississippi Canyon lease block #20 (MC20) site, aimed at developing methods to estimate oil slick coverage and thickness. The research was funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement.
Photographic data were collected as part of NOAA's Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The research developed methods for synoptic collection of satellite and airborne imagery, surface oil characterization, and subsurface oil slick data at the MC20 site in the Gulf of Mexico. This field research was primarily funded by the U.S. Department of the Interior and the Bureau of Safety and Environmental Enforcement through an interagency agreement with NOAA.
NOAA's GOM TRACS dataset contains data on oil slick coverage and thickness from the Mississippi Canyon lease block #20 (MC20). The data were collected as part of the Deepwater Horizon Lessons Learned Studies using satellite and airborne imagery, surface characterization, and chemistry from 2016 to 2018. This research was funded by the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement, and NOAA.
NOAA's Deepwater Horizon Lessons Learned Studies collected synoptic satellite and airborne imagery to estimate oil slick coverage and thickness. This dataset contains photos from field research at the Mississippi Canyon lease block #20 (MC20), a site with a chronic oil discharge, undertaken in 2016, 2017, and 2018. The research was funded by the U.S. Department of the Interior, BSEE, and the Oil Spill Preparedness Division.
NOAA collected these photos as part of the Deepwater Horizon Lessons Learned Studies on detecting oil thickness and emulsion mixtures. The research, funded by the U.S. Department of the Interior and BSEE, involved synoptic collection of satellite and airborne imagery at the MC20 chronic oil discharge site. Field research for this study was undertaken in 2016, 2017, and 2018.