Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

186
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
186
Response Surface Methodology01:16

Response Surface Methodology

102
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
102
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

60
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
60

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Virtual reality for opioid reduction in postoperative cardiac and thoracic surgery: A randomized controlled trial protocol.

MethodsX·2026
Same journal

A rapid yolk-sac serum extraction method for quantifying maternal IgY of individual birds.

MethodsX·2026
Same journal

An advanced wide-and-deep learning framework for soybean price forecasting using market, weather, trade, and supply data.

MethodsX·2026
Same journal

A hybrid CNN-GNN and multitask learning pipeline for improving mild diabetic retinopathy sensitivity.

MethodsX·2026
Same journal

Enhancing sustainable development with an intelligent vehicle detection system for a green university<sup></sup>.

MethodsX·2026
Same journal

Visualizing the internal structural heterogeneity of <i>Paeonia lactiflora</i> starch granules by synchrotron soft X-ray microscopy.

MethodsX·2026

Related Experiment Video

Updated: Jun 17, 2025

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
06:36

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

3.7K

An R-based integrated method for producing river bathymetry and cross-sections from recreational-grade sonar sensor

M Redana1, E Carrero-Carralero2

  • 1Department of Zoology, University of Cambridge, Cambridge, UK.

Methodsx
|August 6, 2024
PubMed
Summary

This study introduces a low-cost method for collecting and processing recreational sonar data to map water body bathymetry. The R-based approach provides accurate depth measurements and river cross-section metrics efficiently.

Keywords:
BathymetryCross-sectionGAMsInterpolationOpen sourceSonarSonar data to bathymetryWater depth

More Related Videos

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.2K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

384

Related Experiment Videos

Last Updated: Jun 17, 2025

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
06:36

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

3.7K
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.2K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

384

Area of Science:

  • Environmental science
  • Hydrology
  • Geomatics

Background:

  • Accurate bathymetry is vital for water resource management.
  • Traditional bathymetric surveys using professional sonar equipment are costly.
  • Low-cost alternatives are needed for accessible water depth data collection.

Purpose of the Study:

  • To present a standardized methodology for collecting and processing recreational-grade sonar data.
  • To develop an R-based postprocessing pipeline for bathymetric data.
  • To enable accurate and low-cost bathymetric mapping and river cross-section analysis.

Main Methods:

  • Utilizing recreational-grade sonar devices for water depth data acquisition.
  • Implementing a standardized data collection and processing workflow.
  • Developing and applying R-based functions for data analysis and visualization.

Main Results:

  • A robust and consistent method for processing recreational sonar water depth measurements.
  • Generation of bathymetry maps for complex water bodies using R functions.
  • Extraction of key metrics for river and channel cross-sections.

Conclusions:

  • The presented methodology offers a high-accuracy, low-cost solution for bathymetric reconstruction.
  • The R-based functions streamline data processing, making bathymetry accessible for various applications.
  • This approach supports sustainable water resource management through improved data availability.