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

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

314
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
314
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

54
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
54
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

41
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...
41
Doppler Effect - II01:05

Doppler Effect - II

3.4K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
3.4K
Errors in Global Positioning System01:26

Errors in Global Positioning System

41
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
41
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

1.7K
Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
1.7K

You might also read

Related Articles

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

Sort by
Same author

An AI-ready remote sensing dataset for high-resolution forest disturbance mapping.

Scientific data·2026
Same author

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Sensors (Basel, Switzerland)·2025
Same author

Unveiling patterns in human dominated landscapes through mapping the mass of US built structures.

Nature communications·2023
Same author

Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities.

eLife·2022
Same author

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.

Remote sensing·2022
Same author

Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jun 17, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Flight Attitude Estimation with Radar for Remote Sensing Applications.

Christoph Weber1, Marius Eggert2, Thomas Udelhoven3

  • 1Engineering, Computer Science and Economics, TH Bingen University of Applied Sciences, 55411 Bingen am Rhein, Germany.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a new method for estimating drone flight attitude using radar data, overcoming limitations of traditional Inertial Measurement Units (IMUs). This radar-based approach enhances remote sensing accuracy and stability.

Keywords:
UAVdroneflight attitude estimationradar sensorremote sensing

More Related Videos

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

403

Related Experiment Videos

Last Updated: Jun 17, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

403

Area of Science:

  • Aerospace Engineering
  • Remote Sensing Technologies
  • Geospatial Data Acquisition

Background:

  • Unmanned Aerial Vehicles (UAVs) and radar technology have advanced significantly.
  • Accurate flight attitude estimation is crucial for remote sensing but challenged by Inertial Measurement Unit (IMU) limitations like drifting.
  • Integrating UAVs and radar offers new possibilities for enhanced remote sensing.

Purpose of the Study:

  • To introduce a novel methodology for attitude estimation using radar data for UAVs.
  • To address the limitations of conventional IMUs in providing stable and accurate flight attitude data.
  • To improve the precision of remote sensing flights through enhanced attitude determination.

Main Methods:

  • Development of a drone measurement system incorporating radar.
  • Detailed explanation of the radar data calculation process for attitude estimation.
  • Validation of the methodology through three distinct flight scenarios.

Main Results:

  • Demonstrated successful calculation of roll and pitch angles using radar data.
  • Quantified the effectiveness of the novel radar-based attitude estimation technique.
  • Identified and outlined the limitations of the proposed approach.

Conclusions:

  • Radar data can be effectively utilized for calculating UAV roll and pitch angles.
  • The developed methodology offers a promising solution to improve flight attitude estimation in radar-equipped remote sensing platforms.
  • Findings contribute to more stable and accurate remote sensing operations.