Cyanobacterial harmful algal blooms (cyanoHAB) cause human and ecological health problems in lakes worldwide. The timely distribution of satellite-derived cyanoHAB data is necessary for adaptive water quality management and for targeted deployment of water quality monitoring resources. Software platforms that permit timely, useful, and cost-effective delivery of information from satellites are required to help managers respond to cyanoHABs. The Cyanobacteria Assessment Network (CyAN) mobile device application (app) uses data from the European Space Agency Copernicus Sentinel-3 satellite Ocean and Land Colour Instrument (OLCI) in near real-time to make initial water quality assessments and quickly alert managers to potential problems and emerging threats related to cyanobacteria. App functionality and satellite data were validated with 25 state health advisories issued in 2017. The CyAN app provides water quality managers with a user-friendly platform that reduces the complexities associated with accessing satellite data to allow fast, efficient, initial assessments across lakes.

蓝藻有害藻华 (cyanoHAB) 在全世界湖泊中造成人类和生态健康问题。及时分发卫星来源的cyanoHAB数据对于适应性水质管理和有针对性地部署水质监测资源是必要的。需要能够及时、有用且经济有效地从卫星传输信息的软件平台来帮助管理人员应对氰基HAB。蓝藻评估网络 (CyAN) 移动设备应用程序 (app) 使用欧洲航天局哥白尼 Sentinel-3 卫星海洋和陆地颜色仪器 (OLCI) 近乎实时的数据来进行初步水质评估，并快速向管理人员发出潜在的警报与蓝藻相关的问题和新出现的威胁。应用程序功能和卫星数据经过 2017 年发布的 25 个州健康建议的验证。CyAN 应用程序为水质管理者提供了一个用户友好的平台，该平台降低了访问卫星数据的复杂性，从而可以快速、高效地对湖泊进行初步评估。