布鲁姆
环境科学
水华
遥感
卫星
蓝藻
微囊藻毒素
生态学
浮游植物
生物
地理
遗传学
工程类
营养物
航空航天工程
细菌
作者
Sachidananda Mishra,Richard P. Stumpf,Blake A. Schaeffer,P. Jeremy Werdell,Keith A. Loftin,Andrew Meredith
标识
DOI:10.1016/j.scitotenv.2021.145462
摘要
Widespread occurrence of cyanobacterial harmful algal blooms (CyanoHABs) and the associated health effects from potential cyanotoxin exposure has led to a need for systematic and frequent screening and monitoring of lakes that are used as recreational and drinking water sources. Remote sensing-based methods are often used for synoptic and frequent monitoring of CyanoHABs. In this study, one such algorithm - a sub-component of the Cyanobacteria Index called the CI
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