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Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach
Ma, Jieying1; Jin, Shuanggen1,2; Li, Jian1; He, Yang2; Shang, Wei2
2021-02-01
Source PublicationREMOTE SENSING
Volume13Issue:3Pages:23
AbstractHarmful 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 a challenge to achieve both high spatial and high temporal resolution simultaneously with a single earth observation system (EOS) sensor, which is much needed for aquatic environment monitoring of inland lakes. This study proposes a multi-source remote sensing-based approach for HAB monitoring in Chaohu Lake, China, which integrates Terra/Aqua MODIS, Landsat 8 OLI, and Sentinel-2A/B MSI to attain high temporal and spatial resolution observations. According to the absorption characteristics and fluorescence peaks of HABs on remote sensing reflectance, the normalized difference vegetation index (NDVI) algorithm for MODIS, the floating algae index (FAI) and NDVI combined algorithm for Landsat 8, and the NDVI and chlorophyll reflection peak intensity index (rho(chl)) algorithm for Sentinel-2A/B MSI are used to extract HAB. The accuracies of the normalized difference vegetation index (NDVI), floating algae index (FAI), and chlorophyll reflection peak intensity index (rho(chl)) are 96.1%, 95.6%, and 93.8% with the RMSE values of 4.52, 2.43, 2.58 km(2), respectively. The combination of NDVI and rho(chl) can effectively avoid misidentification of water and algae mixed pixels. Results revealed that the HAB in Chaohu Lake breaks out from May to November; peaks in June, July, and August; and more frequently occurs in the western region. Analysis of the HAB's potential driving forces, including environmental and meteorological factors of temperature, rainfall, sunshine hours, and wind, indicated that higher temperatures and light rain favored this HAB. Wind is the primary factor in boosting the HAB's growth, and the variation of a HAB's surface in two days can reach up to 24.61%. Multi-source remote sensing provides higher observation frequency and more detailed spatial information on a HAB, particularly the HAB's long-short term changes in their area.
KeywordHAB multi-source remote sensing MODIS Landsat sentinel Chaohu Lake
Funding OrganizationStrategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project
DOI10.3390/rs13030427
Language英语
Funding ProjectStrategic Priority Research Program Project of the Chinese Academy of Sciences[XDA23040100] ; Startup Foundation for Introducing Talent of NUIST[2018R037] ; Jiangsu Province Distinguished Professor Project[R2018T20]
Funding OrganizationStrategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Strategic Priority Research Program Project of the Chinese Academy of Sciences ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000615481500001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/79432
Collection中国科学院国家天文台
Corresponding AuthorLi, Jian
Affiliation1.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Surveying Engn, Nanjing 210044, Peoples R China
2.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
Recommended Citation
GB/T 7714
Ma, Jieying,Jin, Shuanggen,Li, Jian,et al. Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach[J]. REMOTE SENSING,2021,13(3):23.
APA Ma, Jieying,Jin, Shuanggen,Li, Jian,He, Yang,&Shang, Wei.(2021).Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach.REMOTE SENSING,13(3),23.
MLA Ma, Jieying,et al."Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach".REMOTE SENSING 13.3(2021):23.
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