Remote Sensing for Monitoring Harmful Algal Blooms (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 31 December 2025
Special Issue Editors
Interests: water color remote sensing; harmful algal blooms monitoring; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: water color remote sensing; harmful algal blooms monitoring; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: coastal wetland remote sensing; water environment remote sensing; harmful algal blooms monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral remote sensing; water color remote sensing; image classification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The continuous development of the social economy and the intensification of human activities in recent years have resulted in the occurrence of eutrophication in many sea areas and inland waterbodies, with the frequent occurrence of harmful algal blooms. Remote sensing has many advantages in terms of observing harmful algal blooms. Satellite remote sensing can monitor the spatial distribution of large-scale harmful algal blooms, UAV remote sensing can realize the high-resolution monitoring of harmful algal blooms under clouds, and the public participation of monitoring harmful algal blooms can be realized through smartphone-based citizen science. In the process of monitoring harmful algal blooms based on remote sensing, there are still some scientific and technical problems that need to be further studied.
This Special Issue aims to present studies covering monitoring methods, temporal and spatial variation rules, environmental impact analysis, and methods for the prediction and early warning of harmful algal blooms based on multisource remote sensing technology. Remote sensing technology includes satellite remote sensing, UAV remote sensing, and smartphone-based citizen science, whereas satellite remote sensing includes optical remote sensing satellites, SAR, and thermal infrared. The methods for the remote sensing of harmful algal blooms include traditional threshold segmentation, decision tree, and deep learning methods. The analysis of temporal and spatial variation rules and factors influencing harmful algal blooms can be oriented to a certain waterbody or a wide range of water areas. In addition to remote sensing data, meteorological and other auxiliary data can be used in environmental impact analysis and the prediction and early warning of harmful algal blooms.
- Methods for monitoring harmful algal blooms based on satellite remote sensing;
- Methods for monitoring harmful algal blooms based on UAVs;
- Methods for monitoring harmful algal blooms based on citizen science;
- Methods for monitoring harmful algal blooms based on deep learning;
- Analysis of the temporal and spatial variations in harmful algal blooms;
- Analysis on factors influencing harmful algal blooms;
- Analysis of the environmental impact of harmful algal blooms;
- Early warning and prediction of harmful algal blooms.
Dr. Gongliang Yu
Prof. Dr. Junsheng Li
Dr. Chen Wang
Dr. Yao Liu
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- UAVs
- citizen science
- harmful algal blooms
- eutrophication
- water quality
- bio-optical properties
- natural and anthropogenic factors
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Related Special Issue
- Remote Sensing for Monitoring Harmful Algal Blooms in Remote Sensing (9 articles)
