Green algae monitoring via ground-based GNSS-R observations

Outbreaks of harmful algal blooms (HABs) exhibit high frequency, large range and damage aggravation characteristics, but existing monitoring methods, such as artificial and optical near-infrared remote sensing, cannot accommodate these characteristics. We propose a new method for monitoring green al...

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Bibliographic Details
Published in:GPS solutions 2023, Vol.27 (1), p.36, Article 36
Main Authors: Ban, Wei, Zheng, Nanshan, Zhang, Kefei, Yu, Kegen, Chen, Shuo, Lu, Qi
Format: Article
Language:English
Subjects:
Algae
Algal blooms
Aquatic plants
Atmospheric Sciences
Automotive Engineering
Brightness temperature
Earth and Environmental Science
Earth Sciences
Electrical Engineering
Eutrophication
Geophysics/Geodesy
Global navigation satellite system
Ground-based observation
Monitoring
Monitoring methods
Original Article
Outbreaks
Remote sensing
Satellite observation
Seawater
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Surface roughness
Time lag
Wave reflection
Waveforms
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Summary:Outbreaks of harmful algal blooms (HABs) exhibit high frequency, large range and damage aggravation characteristics, but existing monitoring methods, such as artificial and optical near-infrared remote sensing, cannot accommodate these characteristics. We propose a new method for monitoring green algae using Global Navigation Satellite System Reflectometry (GNSS-R) observations. The basic principle states that changes in the seawater dielectric constant and sea surface roughness due to the emergence of green algae lead to an increase in brightness temperature, which can be inverted based on the reflection time delay waveform. Shipboard reflection waveform data collected during an Enteromorpha prolifera outbreak in the Qingdao sea area were used for model development and validation of the detection and estimation performance. The results indicated that the root mean square error of GNSS-R-based inversion of the green algae density was 6.74%, indicating the potential of GNSS-R technology for rapid preliminary monitoring of green algae. Moreover, the advantages of a low cost, short return time and no climatic limitations support GNSS-R technology as a new and efficient means of green algae monitoring.
ISSN:1080-5370
1521-1886
DOI:10.1007/s10291-022-01373-6