Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area

Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area

The development of UAV technologies offers practical methods to create landcover maps for monitoring and management of areas affected by natural disasters such as landslides. The present study aims at comparing the capability of two different types of UAV to deliver precise information, in order to...

Full description

Bibliographic Details
Main Authors:	Flavio Furukawa, Lauretta Andrew Laneng, Hiroaki Ando, Nobuhiko Yoshimura, Masami Kaneko, Junko Morimoto
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Drones
Subjects:	landslides unmanned aerial vehicle (UAV) multispectral RGB vegetation monitoring
Online Access:	https://www.mdpi.com/2504-446X/5/3/97

Similar Items

Machine Learning-Based Processing of Multispectral and RGB UAV Imagery for the Multitemporal Monitoring of Vineyard Water Status
by: Patricia López-García, et al.
Published: (2022-09-01)

UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area
by: Oto Barbosa de Andrade, et al.
Published: (2024-02-01)

Thermal, Multispectral, and RGB Vision Systems Analysis for Victim Detection in SAR Robotics
by: Christyan Cruz Ulloa, et al.
Published: (2024-01-01)

Multispectral Image Generation from RGB Based on WSL Color Representation: Wavelength, Saturation, and Lightness
by: Vaclav Skala
Published: (2023-09-01)

A Comparison of UAV RGB and Multispectral Imaging in Phenotyping for Stay Green of Wheat Population
by: Xiaofeng Cao, et al.
Published: (2021-12-01)

Design of a Dual-Mode Multispectral Filter Array
by: Zhengnan Ye, et al.
Published: (2023-08-01)

Comparison of Conventional Change Detection Methodologies Using High-Resolution Imagery to Find Forest Damage Caused by Typhoons
by: Flavio Furukawa, et al.
Published: (2020-10-01)

Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery
by: Alejandro Román, et al.
Published: (2024-01-01)

Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images
by: Xavier Soria, et al.
Published: (2018-06-01)

Using UAV Collected RGB and Multispectral Images to Evaluate Winter Wheat Performance across a Site Characterized by Century-Old Biochar Patches in Belgium
by: Ramin Heidarian Dehkordi, et al.
Published: (2020-08-01)

Multispectral Deep Neural Network Fusion Method for Low-Light Object Detection
by: Keval Thaker, et al.
Published: (2023-12-01)

Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping
by: Jiangsan Zhao, et al.
Published: (2022-03-01)

MFMG-Net: Multispectral Feature Mutual Guidance Network for Visible–Infrared Object Detection
by: Fei Zhao, et al.
Published: (2024-03-01)

Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods
by: Osman Ilniyaz, et al.
Published: (2022-01-01)

Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal
by: Romeu Gerardo, et al.
Published: (2023-09-01)

Multispectral low altitude remote sensing of wild oyster reefs
by: Subhash Chand, et al.
Published: (2021-10-01)

Unmanned Aerial Vehicle (UAV)-Based Mapping of <i>Acacia saligna</i> Invasion in the Mediterranean Coast
by: Flavio Marzialetti, et al.
Published: (2021-08-01)

A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems
by: Lucy G. Poley, et al.
Published: (2020-03-01)

Tree species mapping at royal belum forest reserve using unmanned aerial vehicle platform multispectral images /
by: Amirul Syazwan Suhaimi, 1995-, et al.
Published: (2018)

Tree species mapping at royal belum forest reserve using unmanned aerial vehicle platform multispectral images /
by: Amirul Syazwan Suhaimi, 1995-
Published: (2018)

RGB-D and Thermal Sensor Fusion: A Systematic Literature Review
by: Martin Brenner, et al.
Published: (2023-01-01)

Rice Height Monitoring between Different Estimation Models Using UAV Photogrammetry and Multispectral Technology
by: Wenyi Lu, et al.
Published: (2021-12-01)

UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops
by: Francisco Javier Mesas-Carrascosa
Published: (2020-11-01)

Editorial: Phenomics
by: Marcos Egea-Cortines, et al.
Published: (2018-05-01)

BRDF Data for Coniferous Forests Acquired from Multispectral Camera Onboard a Unmanned Aerial Vehicle
by: Seungil Baek, et al.
Published: (2023-12-01)

Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding
by: Paul Herzig, et al.
Published: (2021-07-01)

RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System
by: Grayson R. Morgan, et al.
Published: (2021-08-01)

Correlation among Earthwork and Cropmark Anomalies within Archaeological Landscape Investigation by Using LiDAR and Multispectral Technologies from UAV
by: Diego Ronchi, et al.
Published: (2020-11-01)

Intrinsic RGB and multispectral images recovery by independent quadratic programming
by: Alexandre Krebs, et al.
Published: (2020-02-01)

Investigation and evaluation of algorithms for unmanned aerial vehicle multispectral image registration
by: Lingxuan Meng, et al.
Published: (2021-10-01)

Estimating aboveground biomass of grassland in central Asia mountainous areas using unmanned aerial vehicle vegetation indices and image textures – A case study of typical grassland in Tajikistan
by: Tianli Pan, et al.
Published: (2024-06-01)

UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
by: Ana I. de Castro, et al.
Published: (2021-05-01)

A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat
by: Zongpeng Li, et al.
Published: (2023-04-01)

An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass
by: Aliasghar Bazrafkan, et al.
Published: (2023-07-01)

Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review
by: Jianwei Sun, et al.
Published: (2024-01-01)

Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images
by: Haixia Qi, et al.
Published: (2020-11-01)

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery
by: Omid Ghorbanzadeh, et al.
Published: (2022-01-01)

Accuracy analysis of UAV photogrammetry using RGB and multispectral sensors
by: Nikola Santrač, et al.
Published: (2023-12-01)

Face Reflection Removal Network Using Multispectral Fusion of RGB and NIR Images
by: Hui Lan, et al.
Published: (2024-01-01)

Landslide science and practice.
by: World Landslide Forum (2nd : 2011 : Rome, Italy), et al.
Published: (c201)