Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach

نویسندگان

چکیده

Harmful algal blooms (hereafter HABs) pose significant threats to aquatic health and environmental safety. Although satellite remote sensing can monitor HABs at a large-scale, it is always challenge achieve both high spatial temporal resolution simultaneously with single earth observation system (EOS) sensor, which much needed for environment monitoring of inland lakes. This study proposes multi-source sensing-based approach HAB in Chaohu Lake, China, integrates Terra/Aqua MODIS, Landsat 8 OLI, Sentinel-2A/B MSI attain observations. According the absorption characteristics fluorescence peaks on reflectance, normalized difference vegetation index (NDVI) algorithm floating algae (FAI) NDVI combined 8, chlorophyll reflection peak intensity (?chl) are used extract HAB. The accuracies (NDVI), (FAI), 96.1%, 95.6%, 93.8% RMSE values 4.52, 2.43, 2.58 km2, respectively. combination ?chl effectively avoid misidentification water mixed pixels. Results revealed that Lake breaks out from May November; June, July, August; more frequently occurs western region. Analysis HAB’s potential driving forces, including meteorological factors temperature, rainfall, sunshine hours, wind, indicated higher temperatures light rain favored this Wind primary factor boosting growth, variation surface two days reach up 24.61%. Multi-source provides frequency detailed information HAB, particularly long-short term changes their area.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13030427