期刊论文详细信息
Sensors
Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework
Li Shen1  Huiping Xu1 
[1] State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China; E-Mail:
关键词: harmful algal blooms (HABs);    satellite remote sensing;    multiple-spectral sensors;    hyperspectral sensor;    spectra analysis;    oceanographic parameters;    a synthesized framework;    multiple oceanographic explanations;   
DOI  :  10.3390/s120607778
来源: mdpi
PDF
【 摘 要 】

Harmful 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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland

【 预 览 】
附件列表
Files Size Format View
RO202003190043608ZK.pdf 375KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:24次