- freely available
Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework
AbstractHarmful algal blooms (HABs) are severe ecological disasters threatening aquatic systems throughout the World, which necessitate scientific efforts in detecting and monitoring them. Compared with traditional in situ point observations, satellite remote sensing is considered as a promising technique for studying HABs due to its advantages of large-scale, real-time, and long-term monitoring. The present review summarizes the suitability of current satellite data sources and different algorithms for detecting HABs. It also discusses the spatial scale issue of HABs. Based on the major problems identified from previous literature, including the unsystematic understanding of HABs, the insufficient incorporation of satellite remote sensing, and a lack of multiple oceanographic explanations of the mechanisms causing HABs, this review also attempts to provide a comprehensive understanding of the complicated mechanism of HABs impacted by multiple oceanographic factors. 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. This framework aims to lead to a systematic and comprehensive monitoring of HABs based on satellite remote sensing from multiple oceanographic perspectives.
Share & Cite This Article
Export to BibTeX | EndNote
MDPI and ACS Style
Shen, L.; Xu, H.; Guo, X. Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework. Sensors 2012, 12, 7778-7803.View more citation formats
Shen L, Xu H, Guo X. Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework. Sensors. 2012; 12(6):7778-7803.Chicago/Turabian Style
Shen, Li; Xu, Huiping; Guo, Xulin. 2012. "Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework." Sensors 12, no. 6: 7778-7803.