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

Methods of Classification and Identification01:28

Methods of Classification and Identification

395
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
395

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: Oct 23, 2025

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.7K

Classification of Mediterranean hedgerows: A methodological approximation.

Fernando Allende Alvarez1, Gillian Gomez-Mediavilla1, Nieves López-Estébanez1

  • 1Geography Department, Universidad Autónoma de Madrid, Spain.

Methodsx
|August 25, 2021
PubMed
Summary

A new method classifies Mediterranean hedgerows by soil moisture using GIS and remote sensing. This reveals three distinct hedgerow types (moist, semi-moist, dry) crucial for water resource management.

Keywords:
GISHedgerowsRemote sensingRural landscapesSentinel-2

More Related Videos

A Method for Quantifying Foliage-Dwelling Arthropods
08:20

A Method for Quantifying Foliage-Dwelling Arthropods

Published on: October 20, 2019

6.0K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.0K

Related Experiment Videos

Last Updated: Oct 23, 2025

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.7K
A Method for Quantifying Foliage-Dwelling Arthropods
08:20

A Method for Quantifying Foliage-Dwelling Arthropods

Published on: October 20, 2019

6.0K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

4.0K

Area of Science:

  • Environmental Science
  • Geography
  • Agricultural Science

Background:

  • Hedgerow networks are vital agricultural landscapes in the Mediterranean.
  • Water resource availability critically influences hedgerow distribution and type in this region.
  • Existing classification methods do not adequately account for soil moisture variations.

Purpose of the Study:

  • To develop a novel classification system for Mediterranean hedgerow networks.
  • To investigate the influence of surface soil moisture on hedgerow characteristics.
  • To analyze the historical evolution of hedgerows in relation to moisture and topography.

Main Methods:

  • Utilized Geographic Information Systems (GIS) and Remote Sensing techniques.
  • Employed Sentinel-2 satellite imagery to determine surface soil moisture levels.
  • Analyzed historical aerial photographs and satellite images for temporal analysis.

Main Results:

  • Successfully classified hedgerows into three distinct types: moist, semi-moist, and dry.
  • Identified clear correlations between soil moisture levels, hedgerow location, and characteristics.
  • Documented changes in hedgerow area from 1956 to the present, linked to moisture and slope.

Conclusions:

  • The developed methodology provides an effective tool for classifying Mediterranean hedgerows based on soil moisture.
  • Surface soil moisture is a key determinant of hedgerow network structure and evolution.
  • This classification aids in understanding and managing water-dependent agricultural systems in arid and semi-arid environments.