Evidence map›Paper›PMID 40821991›Full record

ArticlePeerJ2025

A workflow of open-source tools for drone-based photogrammetry of marine megafauna.

K C Bierlich, Josh Hewitt, Clara N Bird, David W Johnston, Julian Dale, Enrico Pirotta, Robert S Schick, Joshua D Stewart, Leslie New, Elliott Chimienti and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

K C BierlichCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
Josh HewittCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
Clara N BirdCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
David W JohnstonDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Beaufort, NC, United States of America.
Julian DaleDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Beaufort, NC, United States of America.
Enrico PirottaCentre for Research into Ecological and Environmental Modelling, University of St. Andrews, St. Andrews, United Kingdom.
Robert S SchickSouthall Environmental Associates, Inc., Aptos, CA, United States of America.
Joshua D StewartCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
Leslie NewDepartment of Mathematics, Computer Science and Statistics, Ursinus College, Collegeville, PA, United States of America.
Elliott ChimientiCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
Jeremy A GoldbogenDepartment of Oceans, Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States of America.
Ari S FriedlaenderLong Marine Laboratory, Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States of America.
Mauricio CantorCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.
Leigh G TorresCenter of Drone Excellence (CODEX), Marine Mammal Institute, Oregon State University, Newport, OR, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drones have revolutionized researchers' ability to obtain morphological data on megafauna, particularly cetaceans. The last decade has seen a surge in studies using drones to distinguish morphological differences among populations, calculate energetic reserves and body condition, and identify decreasing body sizes over generations. However, standardized workflows are needed to guide data collection, post-processing, and incorporation of measurement uncertainty, thereby ensuring that measurements are comparable within and across studies. Workflows containing free, open-source tools and methods that are accommodating to various research budgets and types of drones (consumer

Indexed as

Aquatic OrganismsCetaceaPhotogrammetryWorkflowAnimalsBayes TheoremSoftwareBayesianCetaceansDronesMarine mammalsMarine megafaunaMorphologyMultiple imputationPhotogrammetryR packageUncertainty

Identifiers

PMID40821991
PMCPMC12356183

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.