Evidence map›Paper›PMID 33535463›Full record

ArticleSensors (Basel, Switzerland)2021

The Potential of Satellite Imagery for Surveying Whales.

Caroline Höschle, Hannah C Cubaynes, Penny J Clarke, Grant Humphries, Alex Borowicz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
  2. Detecting silent whales using seabed fiber-optic cables.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Review
  5. Marine Sensors: Recent Advances and Challenges.Sensors (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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.

Caroline HöschleBioConsult SH GmbH & Co.KG, Schobüller Str. 36, 25813 Husum, Germany.
Hannah C CubaynesBritish Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK.ORCID 0000-0002-9497-154X
Penny J ClarkeBritish Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK.
Grant HumphriesHiDef, Aerial Surveying Limited, 17 Silvermills Court, Edinburgh EH3 5DG, UK.
Alex BorowiczDepartment of Ecology & Evolution, Stony Brook University, New York, NY 11794, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of very high-resolution (VHR) satellite imagery (less than 1 m spatial resolution) is creating new opportunities within the fields of ecology and conservation biology. The advancement of sub-meter resolution imagery has provided greater confidence in the detection and identification of features on the ground, broadening the realm of possible research questions. To date, VHR imagery studies have largely focused on terrestrial environments; however, there has been incremental progress in the last two decades for using this technology to detect cetaceans. With advances in computational power and sensor resolution, the feasibility of broad-scale VHR ocean surveys using VHR satellite imagery with automated detection and classification processes has increased. Initial attempts at automated surveys are showing promising results, but further development is necessary to ensure reliability. Here we discuss the future directions in which VHR satellite imagery might be used to address urgent questions in whale conservation. We highlight the current challenges to automated detection and to extending the use of this technology to all oceans and various whale species. To achieve basin-scale marine surveys, currently not feasible with any traditional surveying methods (including boat-based and aerial surveys), future research requires a collaborative effort between biology, computation science, and engineering to overcome the present challenges to this platform's use.

Indexed as

Satellite ImageryWhalesAnimalsReproducibility of Resultsgreat whale speciesremote sensingvery high-resolution (VHR) satellite imagery

Identifiers

PMID33535463
PMCPMC7867100

What OpenQuestion holds

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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.