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

Fineness Modulus01:19

Fineness Modulus

235
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
235
Molar Mass01:54

Molar Mass

68.8K
The identity of a substance is defined not only by the types of atoms or ions it contains but by the quantity of each type of atom or ion. For example, water, H2O, and hydrogen peroxide, H2O2, are alike in that their respective molecules are composed of hydrogen and oxygen atoms. However, because a hydrogen peroxide molecule contains two oxygen atoms, as opposed to the water molecule, which has only one, the two substances exhibit very different properties.
68.8K
Ammeter01:11

Ammeter

2.0K
An ammeter is a current measuring instrument. In the circuit, it is represented by the symbol A. The ammeter is placed in series with the device or component to measure the current. A series connection is used because objects in series have the same current passing through them. If a circuit has multiple resistors and the current needs to be measured in each resistor, the number of ammeters required depends on whether the circuit is in series or parallel.
When an ammeter is used to measure the...
2.0K
Measurement: Standard Units03:38

Measurement: Standard Units

60.6K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
60.6K
MOSFET Amplifiers01:17

MOSFET Amplifiers

138
The MOSFET, when operating in its active region, functions as a voltage-controlled current source. In this region, the gate-to-source voltage controls the drain current. This principle underlies the operation of the transconductance MOSFET amplifier. The output current is directed through a load resistor to convert this amplifier into a voltage amplifier. The output voltage is then obtained by subtracting the voltage drop across the load resistance from the supply voltage. This process results...
138
Motional Emf01:22

Motional Emf

3.1K
Magnetic flux depends on three factors: the strength of the magnetic field, the area through which the field lines pass, and the field's orientation with respect to the surface area. If any of these quantities vary, a corresponding variation in magnetic flux occurs. If the area through which the magnetic field lines are passing changes, then the magnetic flux also changes. This change in the area can be of two types: the flux through the rectangular loop increases as it moves into the...
3.1K

You might also read

Related Articles

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

Sort by
Same author

Outdoor social distancing behaviors changed during a pandemic: A longitudinal analysis using street view imagery.

PloS one·2024
Same author

Open-source data pipeline for street-view images: A case study on community mobility during COVID-19 pandemic.

PloS one·2024
Same author

Disaster reconnaissance framework for sustainable post-disaster materials management.

Waste management (New York, N.Y.)·2023
Same author

Human Vulnerability to Landslides.

GeoHealth·2020
Same author

The Use of Social Media in Anatomical and Health Professional Education: A Systematic Review.

Advances in experimental medicine and biology·2020
Same author

Multimodal method for landslide risk analysis.

MethodsX·2019
Same journal

From pixels to length: Body length estimation of aquatic macroinvertebrates from digital images for ecological applications.

MethodsX·2026
Same journal

Sorbent-coated metal discs for time-integrated VOC sampling: A reproducible workflow coupled to SPME-GC/MS.

MethodsX·2026
Same journal

Step-by-step <i>En face</i> O red oil method for aortic plaque staining and quantification in ApoE knockout mouse.

MethodsX·2026
Same journal

Optimized protocols for culturing and sectioning mouse intestinal organoids: enhancing efficiency and structural integrity.

MethodsX·2026
Same journal

MCLF: Montage consistent CNN-Liquid fusion for long-term scalp EEG seizure detection.

MethodsX·2026
Same journal

Facile synthesis of model polystyrene nanoparticles for nanoplastics research.

MethodsX·2026
See all related articles

Related Experiment Video

Updated: May 20, 2025

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K

MM3: Multimodal framework for regional-scale quantitative landslide risk analysis.

William Pollock1,2, Joseph Wartman2

  • 1Shannon & Wilson, Inc., 400N 34th St., Suite 100, Seattle, WA 98103, United States.

Methodsx
|March 27, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a new, adaptable framework for regional landslide risk analysis, enabling better land-use planning and hazard mitigation globally. It uses remote sensing and a modular approach for efficient, location-agnostic risk estimation.

Keywords:
CoseismicDebris flowHazardLand useMM3: Multimodal framework for regional-scale quantitative landslide risk analysisMass-wastingPrecipitation-inducedProbabilistic analysisRisk assessmentRockfallVulnerability

More Related Videos

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
07:42

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Published on: July 20, 2022

2.6K
Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

3.6K

Related Experiment Videos

Last Updated: May 20, 2025

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

9.6K
Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
07:42

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Published on: July 20, 2022

2.6K
Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

3.6K

Area of Science:

  • Geosciences
  • Natural Hazard Assessment
  • Risk Management

Background:

  • Quantified landslide risk is crucial for land-use decisions, hazard mitigation, and public education.
  • Existing probabilistic landslide risk analysis (PLRA) methods lack regional transferability and comprehensive scope.
  • A need exists for a standardized, scalable method for regional PLRA.

Purpose of the Study:

  • To develop a location-agnostic, computationally efficient, and modular framework for regional probabilistic landslide risk analysis (PLRA).
  • To expand an existing deterministic method into a transferable, end-to-end risk estimation tool.
  • To enable global application of PLRA using near-global, remote-sensing data.

Main Methods:

  • Development of a linked framework of code-based modules for landslide risk analysis.
  • Adaptation of a deterministic multimodal method for probabilistic implementation.
  • Utilization of a Monte Carlo approach for probabilistic estimation and near-global remote-sensing inputs.

Main Results:

  • A modular, location-agnostic computational framework for regional PLRA has been established.
  • The framework enables risk estimation using readily available, near-global remote-sensing data.
  • The modular design facilitates future model upgrades and incorporates diverse landslide scenarios.

Conclusions:

  • The developed framework offers a transferable and efficient solution for regional landslide risk assessment.
  • Near-global data inputs enhance the applicability of the method worldwide.
  • This approach supports informed land-use planning and natural hazard management.