Evidence map›Paper›PMID 28484828›Full record

ReviewEnvironmental management2017

Satellite Remote Sensing for Coastal Management: A Review of Successful Applications.

Matthew J McCarthy, Kaitlyn E Colna, Mahmoud M El-Mezayen, Abdiel E Laureano-Rosario, Pablo Méndez-Lázaro, Daniel B Otis, Gerardo Toro-Farmer, Maria Vega-Rodriguez, Frank E Muller-Karger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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  10. Review
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

9 authors.

Matthew J McCarthyInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA. mjm8@mail.usf.edu.ORCID 0000-0001-7974-5862
Kaitlyn E ColnaInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Mahmoud M El-MezayenInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Abdiel E Laureano-RosarioInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Pablo Méndez-LázaroEnvironmental Health Department, Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, PO Box 365067, San Juan, PR, 00936-5067, USA.
Daniel B OtisInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Gerardo Toro-FarmerInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Maria Vega-RodriguezInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Frank E Muller-KargerInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of coastal and marine natural resources presents a number of challenges as a growing global population and a changing climate require us to find better strategies to conserve the resources on which our health, economy, and overall well-being depend. To evaluate the status and trends in changing coastal resources over larger areas, managers in government agencies and private stakeholders around the world have increasingly turned to remote sensing technologies. A surge in collaborative and innovative efforts between resource managers, academic researchers, and industry partners is becoming increasingly vital to keep pace with evolving changes of our natural resources. Synoptic capabilities of remote sensing techniques allow assessments that are impossible to do with traditional methods. Sixty years of remote sensing research have paved the way for resource management applications, but uncertainties regarding the use of this technology have hampered its use in management fields. Here we review examples of remote sensing applications in the sectors of coral reefs, wetlands, water quality, public health, and fisheries and aquaculture that have successfully contributed to management and decision-making goals.

Indexed as

Coral ReefsFisheriesWetlandsClimate ChangeConservation of Natural ResourcesDecision MakingHumansPopulation GrowthRemote Sensing TechnologyWater QualityCoastal resourcesCoral reefsFisheriesPublic healthWater qualityWetlands

Identifiers

What OpenQuestion holds

Textmetadata
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.