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Remote estimation of cyanobacterial blooms using the risky grade index (RGI) and coverage area index (CAI): a case study in the Three Gorges Reservoir, China
Zhou, Botian1; Shang, Mingsheng1; Wang, Guoyin1; Feng, Li2; Shan, Kun1; Liu, Xiangnan3; Wu, Ling3; Zhang, Xuerui1
2017-08-01
摘要Harmful cyanobacterial blooms are exemplified as a major environmental concern due to producing toxin, and have generated a serious threat to public health. Knowledge on the spatial-temporal distribution of cyanobacterial blooms is therefore crucial for public health organizations and environmental agencies. In this study, field data and charge coupled device (CCD) image were collected in Lakes Gaoyang and Hanfeng of the Three Gorges Reservoir (TGR), China. We conducted the risky grade index (RGI) and coverage area index to develop a feasible estimation framework of cyanobacterial blooms. First, the close relationships between CCD reflectance spectral indices and water quality parameters were constructed based on water optical classification. Then, a regional algorithm for the RGI classification was established by density peaks. Finally, our proposed algorithm was applied to investigate dynamics of cyanobacterial blooms in the two lakes from 6-year series of CCD images. Encouraging results demonstrated that satellite remote sensing in conjunction with field observation can aid in the estimation of cyanobacterial blooms in the TGR.
关键词Remote sensing Cyanobacterial blooms Water optical classification Density peaks Risky grade index Coverage area index Three Gorges Reservoir
DOI10.1007/s11356-017-9544-x
发表期刊ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
卷号24期号:23页码:19044-19056
通讯作者Zhang, XR (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China.
收录类别SCI
WOS记录号WOS:000407723100027
语种英语