Evidence map›Paper›PMID 36219322›Full record

ArticleEnvironmental monitoring and assessment2022

Aerial and underwater drones for marine litter monitoring in shallow coastal waters: factors influencing item detection and cost-efficiency.

Gabriela Escobar-Sánchez, Greta Markfort, Mareike Berghald, Lukas Ritzenhofen, Gerald Schernewski

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2022. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Gabriela Escobar-SánchezCoastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany. gabriela.escobar@io-warnemuende.de.ORCID http://orcid.org/0000-0003-1431-2673
Greta MarkfortCoastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany.
Mareike BerghaldCoastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany.
Lukas RitzenhofenCoastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany.
Gerald SchernewskiCoastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany.

Funding

Bundesministerium für Bildung und Forschung 01DJ19001Bundesministerium für Bildung und Forschung 03F0775ABundesministerium für Bildung und Forschung 03F0788ABundesministerium für Bildung und Forschung RFBR 18-55-76001Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit FKZ67MM0001
6 · The paper itself

Abstract

Although marine litter monitoring has increased over the years, the pollution of coastal waters is still understudied and there is a need for spatial and temporal data. Aerial (UAV) and underwater (ROV) drones have demonstrated their potential as monitoring tools at coastal sites; however, suitable conditions for use and cost-efficiency of the methods still need attention. This study tested UAVs and ROVs for the monitoring of floating, submerged, and seafloor items using artificial plastic plates and assessed the influence of water conditions (water transparency, color, depth, bottom substrate), item characteristics (color and size), and method settings (flight/dive height) on detection accuracy. A cost-efficiency analysis suggests that both UAV and ROV methods lie within the same cost and efficiency category as current on-boat observation and scuba diving methods and shall be considered for further testing in real scenarios for official marine litter monitoring methods.

Indexed as

Environmental MonitoringWaste ProductsPlasticsUnmanned Aerial DevicesWaterPlasticsWaste ProductsWaterCost-efficiencyMarine litterMarine Strategy Framework DirectiveMonitoringROVUAV

Identifiers

PMID36219322
PMCPMC9553762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.