Mobile device application for monitoring cyanobacteria harmful algal blooms using Sentinel-3 satellite Ocean and Land Colour Instruments
| Autor: | Sean W. Bailey, Michael Galvin, Robyn N. Conmy, Rajbir Parmar, Ross S. Lunetta, Kurt Wolfe, P. Jeremy Werdell, Amber R. Ignatius, Erin A. Urquhart, Darryl J. Keith, Richard P. Stumpf, Blake A. Schaeffer, John M. Johnston |
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| Rok vydání: | 2018 |
| Předmět: |
Environmental Engineering
010504 meteorology & atmospheric sciences Ecological health business.industry Ecological Modeling Environmental resource management 010501 environmental sciences 01 natural sciences Algal bloom Article Water quality management Software deployment Environmental science Satellite Satellite imagery Water quality business Mobile device Software 0105 earth and related environmental sciences |
| Zdroj: | Environmental Modelling & Software. 109:93-103 |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2018.08.015 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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