Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data-Reference-Cited by-同舟云学术

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Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data

Published:2018-04-02 Issue:13 Volume:39 Page:4402-4415
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Harun-Al-Rashid Ahmed¹²^ORCID,Yang Chan-Su¹²³^ORCID

Affiliation:

1. Marine Safety Research Center, Korea Institute of Ocean Science & Technology, Busan, Republic of Korea

2. Department of Integrated Ocean Sciences, University of Science & Technology, Daejeon, Republic of Korea

3. Ocean Science and Technology School, Korea Maritime and Ocean University, Busan, Republic of Korea

Funder

the Ministry of Oceans and Fisheries

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1457228

Reference23 articles.

1. Drifting trajectories of green algae in the western Yellow Sea during the spring and summer of 2012

2. Tide and tidal current charts for the marginal seas adjacent to China

3. Origin and Offshore Extent of Floating Algae in Olympic Sailing Area

4. Two-layer tidal modeling of the Yellow and East China Seas with application to seasonal variability of the M2tide

5. On physical factors that controlled the massive green tide occurrence along the southern coast of the Shandong Peninsula in 2008: A numerical study using a particle-tracking experiment

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1. Harnessing green tide Ulva biomass for carbon dioxide sequestration;Reviews in Environmental Science and Bio/Technology;2024-09-02

2. Application of Hyperspectral Image with AI Models for Monitoring of Coastal Ocean and Land Surface;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Remote Sensing of Ulva Prolifera Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects;IEEE Geoscience and Remote Sensing Magazine;2024

4. Detection of Macroalgal Bloom from Sentinel−1 Imagery;Remote Sensing;2023-09-28

5. A simple method for estimating macroalgae area under clouds on MODIS imagery;Frontiers in Marine Science;2022-08-18

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