Evidence map›Paper›PMID 37757532›Full record

ArticleMarine pollution bulletin2023

Assessing potential of the Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) for water quality monitoring across the coastal United States.

Blake A Schaeffer, Peter Whitman, Ryan Vandermeulen, Chuanmin Hu, Antonio Mannino, Joseph Salisbury, Boryana Efremova, Robyn Conmy, Megan Coffer, Wilson Salls and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Marine pollution bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 1 country.

Blake A SchaefferUS EPA, Office of Research and Development, Durham, NC 27709, United States of America. Electronic address: schaeffer.blake@epa.gov.
Peter WhitmanOak Ridge Institute for Science and Education, US EPA, Durham, NC 27709, United States of America.
Ryan VandermeulenNational Oceanic and Atmospheric Administration, National Marine Fisheries Service, Silver Spring, MD, United States of America; Science Systems and Applications, Inc., Lanham, MD, United States of America.
Chuanmin HuCollege of Marine Science, University of South Florida, St. Petersburg, FL, United States of America.
Antonio ManninoNational Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, MD, United States of America.
Joseph SalisburyUniversity of New Hampshire, Durham, NH, United States of America.
Boryana EfremovaGeoThinkTank, LLC, Miami, FL, United States of America.
Robyn ConmyUS EPA, Office of Research and Development, Cincinnati, OH 45268, United States of America.
Megan CofferNational Oceanic and Atmospheric Administration, NESDIS Center for Satellite Applications and Research, Greenbelt, MD, United States of America; Global Science and Technology Inc., Durham, NC, United States of America.
Wilson SallsUS EPA, Office of Research and Development, Durham, NC 27709, United States of America.
Hannah FerribyTetra Tech, Research Triangle Park, NC 27709, United States of America.
Natalie ReynoldsRTI International, Research Triangle Park, NC, United States of America.
VA Office of Research and Development · USCollege of Marin · USEnvironmental Protection Agency · USGlobal Science & Technology (United States) · USNational Aeronautics and Space Administration · USOak Ridge Institute for Science and EducationRTI International · USScience Systems and Applications (United States) · USTetra Tech (United States) · USUniversity of New Hampshire · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) will provide unique high temporal frequency observations of the United States coastal waters to quantify processes that vary on short temporal and spatial scales. The frequency and coverage of observations from geostationary orbit will improve quantification and reduce uncertainty in tracking water quality events such as harmful algal blooms and oil spills. This study looks at the potential for GLIMR to complement existing satellite platforms from its unique geostationary viewpoint for water quality and oil spill monitoring with a focus on temporal and spatial resolution aspects. Water quality measures derived from satellite imagery, such as harmful algal blooms, thick oil, and oil emulsions are observable with glint <0.005 sr

Indexed as

Petroleum PollutionWater QualityEnvironmental MonitoringGulf of AmericaHarmful Algal BloomSatellite ImageryUnited StatesGeostationary satellite remote sensingGlintManagementMonitoringOil spillWater quality

Identifiers

PMID37757532
PMCPMC10845072
OpenAlexW4387030133

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.