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

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

318
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
318
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

648
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
648
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

267
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
267
Circular Orbits and Critical Velocity for Satellites01:16

Circular Orbits and Critical Velocity for Satellites

5.4K
The Moon orbits around the Earth. In turn, the Earth (and other planets) orbit the Sun. The space directly above our atmosphere is filled with artificial satellites in orbit. One can examine the circular orbit, the simplest kind of orbit, to understand the relationship between the speed and the period of planets and satellites with respect to their positions and the bodies that they orbit.
Nicolaus Copernicus (1473-1543) first suggested that the Earth and all other planets orbit the Sun in...
5.4K
Manipulation and Analysis01:21

Manipulation and Analysis

242
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
242

You might also read

Related Articles

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

Sort by
Same author

Preclinical immunogenicity of the LP.8.1-adapted BNT162b2 COVID-19 vaccine.

NPJ vaccines·2026
Same author

Dosimetric evaluation and clinical feasibility of Halcyon-E O-ring linear accelerator for single fraction coplanar stereotactic radiosurgery.

Journal of medical imaging and radiation sciences·2026
Same author

Recent Advances in Electrochemical Detection of Antibiotics on Graphene-Based Sensors and Biosensors, Impact and Sustainable Development Challenges: A Systematic Review and Meta-Analysis.

Biosensors·2026
Same author

Climatic and Host-Related Drivers of Gastrointestinal Parasite Dynamics in Domestic Ruminants of North Bengal, India.

Animals : an open access journal from MDPI·2026
Same author

Immunologic and biophysical features of the BNT162b2 JN.1 and KP.2 adapted COVID-19 vaccines.

Nature communications·2025
Same author

Liver iron susceptometry is different in patients with transfusion dependent thalassemia and sickle cell disease compared with hemochromatosis.

Biochemistry and biophysics reports·2025

Related Experiment Video

Updated: Dec 27, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.3K

Multi Criteria Decision Making for the Multi-Satellite Image Acquisition Scheduling Problem.

Alex Elkjær Vasegaard1, Mathieu Picard2, Florent Hennart2

  • 1Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark.

Sensors (Basel, Switzerland)
|February 29, 2020
PubMed
Summary

This study introduces a real-time scoring approach for multi-satellite image acquisition scheduling, integrating factors like cloud cover and customer priority. Multi-criteria decision-making models (MCDM) like ELECTRE-III and TOPSIS improve scheduling over naive methods.

Keywords:
ELECTRE-IIITOPSISbinary linear programmingearth observing satelliteimage collectionmultiple-criteria decision makingsatellite image acquisition scheduling problem

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

5.3K

Related Experiment Videos

Last Updated: Dec 27, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.3K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

5.3K

Area of Science:

  • Operations Research
  • Remote Sensing
  • Computer Science

Background:

  • Traditional satellite image acquisition scheduling often uses simplified objective functions.
  • Existing models frequently overlook crucial operational factors such as cloud cover uncertainty and customer priority.
  • This gap leads to suboptimal planning in dynamic environments.

Purpose of the Study:

  • To develop and evaluate a real-time scoring approach for multi-satellite image acquisition scheduling.
  • To integrate diverse operational criteria, including cloud cover, customer priority, and image quality, into the scheduling objective.
  • To compare the effectiveness of multi-criteria decision-making (MCDM) models against traditional methods.

Main Methods:

  • Utilized multi-criteria decision-making (MCDM) models: ELECTRE-III (outranking) and TOPSIS (distance to ideal point).
  • Formulated a binary linear programming model for scheduling optimization.
  • Integrated a real-time scoring mechanism for imaging attempts within a multi-satellite planning framework.

Main Results:

  • MCDM approaches, particularly ELECTRE-III, demonstrated customized scheduling behavior.
  • The proposed scoring approach effectively incorporates previously neglected operational criteria.
  • Numerical experiments validated the models and highlighted the significance of integrated factors.

Conclusions:

  • MCDM methods offer enhanced flexibility and customization in satellite image acquisition scheduling.
  • Integrating real-time factors like cloud cover and customer priority significantly improves scheduling effectiveness.
  • The study underscores the limitations of generic objective functions in complex operational scenarios.