Evidence map›Paper›PMID 42174217›Full record

ArticleEnvironmental monitoring and assessment2026

Efficiency of drone technology for lake water sampling: is it better than traditional boat methodology?

Juan Federico Bennett, Brian Rippey, Richard Douglas

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Juan Federico BennettSchool of Geography and Environmental Sciences, Ulster University, Cromore Rd, Coleraine, BT52 1SA, UK. juanfebe@hotmail.com.
Brian RippeySchool of Geography and Environmental Sciences, Ulster University, Cromore Rd, Coleraine, BT52 1SA, UK.
Richard DouglasSchool of Geography and Environmental Sciences, Ulster University, Cromore Rd, Coleraine, BT52 1SA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water pollution is one of the main socio-environmental issues in recent decades, affecting humans and various species. The increasing use of drones can be an alternative that helps more easily monitor the status of hard-to-reach water bodies, making their examination more accurate and allowing for the implementation of appropriate restoration measures. In this study, we investigated the use of drones to monitor three small shallow lakes in Ireland, an island with hundreds of lakes. The objective of this study is to compare the drone sampling methodology versus the traditional boat-based methodology, evaluating aspects such as the reliability of the results and cost-effectiveness. Key physicochemical water parameters such as total phosphorus, chlorophyll a, dissolved oxygen and pH were measured over a three-month period using multiparameter probes and water sample collection. Both methodologies yielded identical results for nine of the ten measured variables. In turn, the drone method, while entailing higher initial fixed costs, ends up being not only faster but also more economical in the medium and long term, also representing a safer and more far-reaching sampling alternative than the boat methodology.

Indexed as

Environmental MonitoringLakesUnmanned Aerial DevicesIrelandPhosphorusShipsWater PollutionPhosphorusCostsIrelandUncrewed aerial vehiclesWater monitoring

Identifiers

PMID42174217
PMCPMC13197280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.