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: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

178
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...
178
Levels of Use of a GIS01:29

Levels of Use of a GIS

176
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
176
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

233
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...
233
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

175
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,...
175
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

171
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
171
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

132
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
132

You might also read

Related Articles

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

Sort by
Same author

An Efficient and Precise Remote Sensing Optical Image Matching Technique Using Binary-Based Feature Points.

Sensors (Basel, Switzerland)·2021
Same author

Implementation of Non-Linear Non-Parametric Persistent Scatterer Interferometry and Its Robustness for Displacement Monitoring.

Sensors (Basel, Switzerland)·2021
Same author

Extraction of Land Information, Future Landscape Changes and Seismic Hazard Assessment: A Case Study of Tabriz, Iran.

Sensors (Basel, Switzerland)·2020
Same author

Ground Displacement in East Azerbaijan Province, Iran, Revealed by L-band and C-band InSAR Analyses.

Sensors (Basel, Switzerland)·2020
Same author

FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning.

Sensors (Basel, Switzerland)·2020
Same author

Spatiotemporal deformation patterns of the Lake Urmia Causeway as characterized by multisensor InSAR analysis.

Scientific reports·2018

Related Experiment Video

Updated: Nov 10, 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

4.1K

Development of Nationwide Road Quality Map: Remote Sensing Meets Field Sensing.

Sadra Karimzadeh1,2,3, Masashi Matsuoka3

  • 1Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary

This study introduces a cost-effective method for road quality assessment using Sentinel-2 satellite imagery and discriminant analysis. It enables the creation of road quality proxy maps (RQPMs) to monitor road networks efficiently.

Keywords:
Sentinel-2international roughness indexremote sensingroad quality

More Related Videos

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

12.0K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.4K

Related Experiment Videos

Last Updated: Nov 10, 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

4.1K
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

12.0K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.4K

Area of Science:

  • Geospatial analysis
  • Remote sensing
  • Transportation engineering

Background:

  • In situ road quality measurements are expensive and time-consuming.
  • Accurate road condition data is crucial for network management and hazard mitigation.
  • Satellite imagery offers a potential alternative for large-scale road assessment.

Purpose of the Study:

  • To develop a cost-effective method for creating road quality proxy maps (RQPMs).
  • To utilize multispectral satellite data and statistical analysis for road condition assessment.
  • To calibrate and validate the developed equations using in situ measurements.

Main Methods:

  • Measured in situ International Roughness Index (IRI) for over 1300 km of roads.
  • Employed discriminant analysis and multispectral Sentinel-2 imagery.
  • Developed and applied Optimum Index Factor (OIF) and norm R equations.
  • Utilized Geographic Information System (GIS) for data integration and calibration.

Main Results:

  • New equations were developed to create road quality proxy maps (RQPMs).
  • The norm R equation achieved an overall accuracy of 65.0% and a kappa coefficient of 0.59.
  • The method provides a valuable tool for network-scale road quality monitoring.

Conclusions:

  • Satellite-based RQPMs offer a cost-effective alternative to in situ road quality monitoring.
  • The developed equations are applicable to primary and secondary road networks.
  • This approach aids in hazard mitigation and reduces the costs associated with road quality assessment.