Evidence map›Paper›PMID 38633418›Full record

ArticleMethodsX2024

Beach surface model construction: A strategy approach with structure from motion - multi-view stereo.

A T S Ferreira, Carlos Henrique Grohmann, Maria Carolina Hernandez Ribeiro, Marcelo Soares Teles Santos, Regina Célia de Oliveira, Eduardo Siegle

Abstract read
In one paragraph

Article in MethodsX, 2024. 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

6 authors.

A T S FerreiraTechnology in Environment and Water Resources, São Paulo State Technological College of Jahu, Jaú 17212-599, SP, Brazil.
Carlos Henrique GrohmannInstitute of Energy and Environment, University of São Paulo (IEE-USP), Avenida Professor Luciano Gualberto, 1289, Cidade Universitária, 05508-010, São Paulo, Brazil.
Maria Carolina Hernandez RibeiroSchool of Arts, Sciences and Humanities, University of São Paulo (EACH-USP), Avenida Arlindo Béttio, 1000, Ermelino Matarazzo, 03828-000, São Paulo, Brazil.
Marcelo Soares Teles SantosTechno-Science and Innovation Training Center, Federal University of Southern Bahia-UFSB, Itabuna Access Highway, km 39-Ferradas, Itabuna, 45613-204, Bahia, Brazil.
Regina Célia de OliveiraInstitute of Geosciences of the State University of Campinas, Campinas 13083-855, SP, Brazil.
Eduardo SiegleOceanographic Institute, University of São Paulo, São Paulo 05508-120, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to traditional beach profiling methods like topographic surveys and GNSS, which pose significant challenges in terms of cost and time, this research underscores the efficiency, cost-effectiveness, and simplicity of terrestrial photogrammetry employing the Structure from Motion-Multi View Stereo (SfM-MVS) method. Notably, this approach enables the utilization of commonplace devices such as smartphones for data capture. The methodology integrates a 12-megapixel camera for image acquisition, processed through Agisoft Metashape Professional software, and validated for accuracy using ground control points (GCPs) and checkpoints (CKPs) calibrated via GNSS. Findings reveal substantial disparities in positional accuracy according to the Ground Control Points distribution. The study underscores the critical role of strategically distributing GCPs and CKPs in effectively mapping coastal areas, thus affirming the potential of SfM-MVS as a powerful and accessible tool for coastal monitoring initiatives. This research contributes significantly to advancing the efficiency and accessibility of beach profile monitoring, offering invaluable insights for researchers and practitioners in coastal management and environmental conservation efforts.•A simplified beach profile modeling methodology is proposed.•The method is faster and more cost-effective than traditional surveys (RTK GNSS, lidar, RPA).•The study highlights the importance of GCP and CKP distribution in enhancing SfM-MVS accuracy for coastal mapping.

Indexed as

Beach MorphologyBeach SurveyGNSSPhotogrammetryStrategies for beach surface modeling with structure from movement - multi-view stereoStructure from Motion

Identifiers

PMID38633418
PMCPMC11022107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.