A review on drone-based harmful algae blooms monitoring

  title={A review on drone-based harmful algae blooms monitoring},
  author={Di Wu and Ruopu Li and Fei-peng Zhang and Jia Liu},
  journal={Environmental Monitoring and Assessment},
  • Di Wu, Ruopu Li, Jia Liu
  • Published 9 March 2019
  • Environmental Science
  • Environmental Monitoring and Assessment
Rapid development and applications of unmanned aerial vehicles (UAVs) provide promising solutions to and new opportunities for environmental monitoring. Owing to their flexibility in flight scheduling, high spatial resolution, and costs-effectiveness, UAVs have become a popular tool for monitoring dynamic environmental processes, such as emergence and outbreak of harmful algae blooms (HABs). The HABs outbreak, often linked with anthropogenic eutrophication, has become a serious environmental… 
Considerations in Harmful Algal Bloom Research and Monitoring: Perspectives From a Consensus-Building Workshop and Technology Testing
The main research and management priorities that can be addressed through ocean observation-based approaches and technological solutions for harmful algal blooms are summarized, and the state of the technology to detect HAB events is updated based on recent activities of the Alliance for Coastal Technology (ACT).
Novel Methodologies for Providing In Situ Data to HAB Early Warning Systems in the European Atlantic Area: The PRIMROSE Experience
Harmful algal blooms (HABs) cause harm to human health or hinder sustainable use of the marine environment in Blue Economy sectors. HABs are temporally and spatially variable and hence their
UAV-Derived Data Application for Environmental Monitoring of the Coastal Area of Lake Sevan, Armenia with a Changing Water Level
UAV surveys are proposed to consider UAV surveys as a necessary intermediary between ground data and satellite imagery with different spatial resolutions for the complex environmental monitoring of the coastal area and water body of Lake Sevan as a whole.
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review
This paper provides a comprehensive review of 122 works on the applications of UASs in surface water and groundwater research with a purpose-oriented approach and unifies in a single document all the possibilities, potential approaches and results obtained by different authors through the implementation of U ASs.
Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook
Intensifying pressure on global aquatic resources and services due to population growth and climate change is inspiring new surveying technologies to provide science-based information in support of
Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives
The hydrologic sciences and water resources management have long depended on a combination of in situ measurements and remotely sensed data for research and regulatory purposes. In situ measurements
Classification of Green Tide at Coastal Area Using Lightweight UAV and only RGB Images
ABSTRACT Kim, K.; Kim, B.-J.; Kim, E., and Ryu, J.-H., 2020. Classification of green tide at coastal area using lightweight UAV and only RGB images. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T.
Cyanobacteria bloom prevention and control and salvage disposal integrated management system
Cyanobacteria are large single-cell prokaryotes that can undergo oxygen-producing photosynthesis. However, if the cyanobacteria are contaminated by nitrogen, phosphorus and other elements,
Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
This article classifies publications on networked UAVs for surveillance and monitoring using the targets of interest and analyzes several typical problems on this topic, including the control, navigation, and deployment optimization of Uavs.
Monitoring Cyanobacteria Bloom in Dianchi Lake Based on Ground-Based Multispectral Remote-Sensing Imaging: Preliminary Results
Ground-based multispectral remote-sensing data can operationalize the dynamic monitoring of cyanobacterial blooms and provide timely and accurate data for salvage treatment and early warnings, according to results.


Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework
A potential synthesized framework can be established by combining multiple accessible satellite remote sensing approaches including visual interpretation, spectra analysis, parameters retrieval and spatial-temporal pattern analysis to provide a comprehensive understanding of the complicated mechanism of HABs impacted by multiple oceanographic factors.
Development of Algal Bloom Removal System Using Unmanned Aerial Vehicle and Surface Vehicle
The ARROS has been designed with a catamaran-type unmanned surface vehicle (USV) and an algae-removal device attached below and the system detects algal blooms with an image-based detection algorithm, which is known as a local binary pattern.
Monitoring Cyanobacteria Blooms in Freshwater Lakes using Remote Sensing Methods
Anthropogenic lake eutrophication can allow toxic cyanobacteria (blue-green algae) to grow uncontrollably, resulting in harmful algal blooms with potentially serious economic and health-related
Approaches to monitoring, control and management of harmful algal blooms (HABs).
  • D. Anderson
  • Environmental Science
    Ocean & coastal management
  • 2009
Algal Bloom Monitoring using UAVs Imagery
The purpose of this study is to enhance control capability of river water quality and environment by developing algal bloom monitoring technology using Unmanned Aerial Vehicle. The study acquired
Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV
Harmful Algal Bloom Characterization at Ultra-High Spatial and Temporal Resolution Using Small Unmanned Aircraft Systems
Small, unmanned aircraft systems can gather color-infrared reflectance data at appropriate spatial and temporal resolutions, and these methods provide valuable information that is complimentary to risk assessment data derived from traditional risk assessment methods, and could help to improve risk management at the local level.
Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle
Results indicate that optical remote sensing with UAV holds promise for completing spatially precise, and multi-temporal measurements of algae or submerged aquatic vegetation in shallow rivers with low turbidity and good optical transmission.
Deploying four optical UAV-based sensors over grassland: challenges and limitations
The UAV STS spectrometer and the multispectral camera MCA6 were found to deliver spectral data that can match the spectral measurements of an ASD at ground level when compared over all waypoints and Variability was highest in the near-infrared bands for both sensors.