Environmental drivers of phytoplankton crops and taxonomic composition in northeastern Antarctic Peninsula adjacent sea area

Feng, Y. Z.; Li, Dong; Zhao, Jun; Han, Zhiwei; Pan, Jianming; Fan, Gaojing; Zhang, Haisheng; Hu, Jian; Hai-feng, Zhang; Wu, Jiaqi; Zhu, Qiuhong

doi:10.1007/s13131-021-1865-4

Cited by 4 publications

(3 citation statements)

References 89 publications

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“…All papers monitored these parameters over time (e.g., [93]), about half of the papers (67%) compared different methods or products in order to minimize errors (e.g., [94]), and 56% retrieved depths of Secchi disk and euphotic layer from several remote data (e.g., Yin et al [95] retrieved Zeu from Landsat and Sentinel-3 data). Moreover, two papers merged remote sensing techniques with models or GIS techniques [76,96].…”

Section: Depths Of Secchi Disk and Euphotic Layermentioning

confidence: 99%

“…SeaWiFS (1.1-4.5 km) Yes - [96] -Zeu (1) Primary production MERIS (300 m) Yes -[157] - (1) This parameter was mapped and monitored together with other parameters. 490) (1) Giant kelp MODIS (0.5-1 km) Yes --[228] Kd (490) (1) Harmful algal blooms MODIS (0.5-1 km) No -- [76] Kd (490) (1) Particulate organic carbon -Yes [98] --Kd (490) (1) Phytoplankton -Yes --[312] Kd (490) (1) Harmful algal bloom MODIS (0.5-1 km) No --[76] Kd (490) (1) Seagrass Sentinel-2 (10-20-60 m) No -[234] -Kd (490) (1) Water quality estimation GOCI No -[339] Kd (490) (1) Water quality estimation Sentinel-2 (10-20-60 m) No -- [94,192] Kd (490) (1) Zsd Landsat (15-30 m) No -- [95] Table A10.…”

Section: Parameter Phenomena Remote Data or Dataset Available Product...mentioning

confidence: 99%

“…PAR (1) Green tide MODIS (1 km) Yes - [199] -PAR (1) Mangrove ecosystems MODIS (1 km) Yes -[133] -PAR (1) Mangrove ecosystems Sentinel-2 (10-20-60 m) Yes - [133] -PAR (1) Phytoplankton crops and taxonomic composition SeaWiFS (1.1-4.5 km) Yes - [96] -PAR (1) Primary production MODIS (0.5-1 km) Yes -[157] -PAR (1) Primary production MODIS (0.5-1 km) Yes [139] [289] - Phycocyanin (1) Phycocyanin HICO™ (~90 m) (2) No --[134] Phycocyanin (1) Phycocyanin PRISMA (30 m) (2) No --…”

Section: Parameter Phenomena Remote Data or Dataset Available Product...mentioning

confidence: 99%

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Cavalli

2024

Remote Sensing

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Since 1971, remote sensing techniques have been used to map and monitor phenomena and parameters of the coastal zone. However, updated reviews have only considered one phenomenon, parameter, remote data source, platform, or geographic region. No review has offered an updated overview of coastal phenomena and parameters that can be accurately mapped and monitored with remote data. This systematic review was performed to achieve this purpose. A total of 15,141 papers published from January 2021 to June 2023 were identified. The 1475 most cited papers were screened, and 502 eligible papers were included. The Web of Science and Scopus databases were searched using all possible combinations between two groups of keywords: all geographical names in coastal areas and all remote data and platforms. The systematic review demonstrated that, to date, many coastal phenomena (103) and parameters (39) can be mapped and monitored using remote data (e.g., coastline and land use and land cover changes, climate change, and coastal urban sprawl). Moreover, the authors validated 91% of the retrieved parameters, retrieved from remote data 39 parameters that were mapped or monitored 1158 times (88% of the parameters were combined together with other parameters), monitored 75% of the parameters over time, and retrieved 69% of the parameters from several remote data and compared the results with each other and with available products. They obtained 48% of the parameters using different methods, and their results were compared with each other and with available products. They combined 17% of the parameters that were retrieved with GIS and model techniques. In conclusion, the authors addressed the requirements needed to more effectively analyze coastal phenomena and parameters employing integrated approaches: they retrieved the parameters from different remote data, merged different data and parameters, compared different methods, and combined different techniques.

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Section: Depths Of Secchi Disk and Euphotic Layermentioning

confidence: 99%

Section: Parameter Phenomena Remote Data or Dataset Available Product...mentioning

confidence: 99%

Section: Parameter Phenomena Remote Data or Dataset Available Product...mentioning

confidence: 99%

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Cavalli

2024

Remote Sensing

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Spatial distribution of planktonic ciliates in waters around the northeastern Antarctic Peninsula and the South Orkney Plateau

Chen

Yang

et al. 2023

Polar Biol

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Factors controlling the phytoplankton crops, taxonomic composition, and particulate organic carbon stocks in the Cosmonaut Sea, East Antarctica

Li,

Zhao,

et al. 2024

J. Ocean. Limnol.

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Environmental drivers of phytoplankton crops and taxonomic composition in northeastern Antarctic Peninsula adjacent sea area

Cited by 4 publications

References 89 publications

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Spatial distribution of planktonic ciliates in waters around the northeastern Antarctic Peninsula and the South Orkney Plateau

Factors controlling the phytoplankton crops, taxonomic composition, and particulate organic carbon stocks in the Cosmonaut Sea, East Antarctica

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