Contents As a marine ecological disaster caused by the explosive proliferation of green macroalgae, green tides impair economic development and the ecological environment, affecting dozens of regions worldwide. The largest green tide in the world occurs in the Yellow Sea, with Ulva prolifera (U. prolifera) the dominant species. Satellite remote sensing technology, with its advantages of a large scale, a long time series, and traceability, plays a significant role in U. prolifera monitoring, providing important support for obtaining deeper scientific understanding and promoting disaster prevention and control. To systematically and comprehensively summarize research progress and identify weaknesses and priorities for future development, this article reviews over 350 articles on U. prolifera green tide remote sensing in the Yellow Sea, published before November 2023 from three aspects: remote sensing mechanisms (electromagnetic scattering and remote sensing image features), methods (detection, coverage area retrieval, species discrimination, biomass estimation, drift velocity determination, and so on), and applications (growth and decay, interannual variabilities, and so forth). Additionally, challenges, opportunities, and development priorities are analyzed (see “Article Contents”). The findings in this article promote the future development of U. prolifera remote sensing technology to assist with disaster prevention and ecosystem protection.
Abstract:
As a marine ecological disaster caused by the explosive proliferation of green macroalgae, green tide impairs economic development and ecological environment, affecting d...Show MoreMetadata
Abstract:
As a marine ecological disaster caused by the explosive proliferation of green macroalgae, green tide impairs economic development and ecological environment, affecting dozens of regions worldwide. The largest green tide in the world occurred in the Yellow Sea, with Ulva prolifera (U. prolifera) as the dominant species. Satellite remote sensing technology, with its advantages of large-scale, long-time series, and traceability, plays a significant role in U. prolifera monitoring, providing important support for obtaining deeper scientific understanding and promoting disaster prevention and control. To systematically and comprehensively summarize the research progress and identify weaknesses and priorities for future development, this study has reviewed over 350 articles on "U. prolifera green tide remote sensing in the Yellow Sea" published before November 2023 from three aspects: remote sensing mechanisms (electromagnetic scattering and remote sensing image features), methods (detection, coverage area retrieval, species discrimination, biomass estimation, drift velocity determination, etc.), and applications (growth and decay, interannual variabilities, etc.). Additionally, the challenges, opportunities, and development priorities are analyzed. The findings in this study will promote the future development of U. prolifera remote sensing technology to assist disaster prevention and ecosystem protection.
Published in: IEEE Geoscience and Remote Sensing Magazine ( Volume: 12, Issue: 4, December 2024)
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1.
L. Hu, C. Hu and M. He, "Remote estimation of biomass of Ulva prolifera macroalgae in the Yellow Sea", Remote Sens. Environ., vol. 192, pp. 217-227, Apr. 2017.
2.
L. Qi, C. Hu, M. Wang, S. Shang and C. Wilson, "Floating algae blooms in the East China Sea", Geophys. Res. Lett., vol. 44, no. 22, pp. 11,501-11,509, 2017.
3.
N. Ye et al., "Green tides’ are overwhelming the coastline of our blue planet: Taking the world’s largest example", Ecol. Res., vol. 26, no. 3, pp. 477-485, 2011.
4.
M. Hiraoka, M. Ohno, S. Kawaguchi and G. Yoshida, "Crossing test among floating Ulva thalli forming ‘green tide’ in Japan", Hydrobiologia, vol. 512, no. 1, pp. 239-245, 2004.
5.
J. Conover, L. A. Green and C. S. Thornber, "Biomass decay rates and tissue nutrient loss in bloom and non-bloom-forming macroalgal species", Estuarine Coastal Shelf Sci., vol. 178, pp. 58-64, Sep. 2016.
6.
B. E. Lapointe, P. J. Barile, M. M. Littler and D. S. Littler, "Macroalgal blooms on southeast Florida coral reefs: II. Cross-shelf discrimination of nitrogen sources indicates widespread assimilation of sewage nitrogen", Harmful Algae, vol. 4, no. 6, pp. 1106-1122, 2005.
7.
V. Smetacek and A. Zingone, "Green and golden seaweed tides on the rise", Nature, vol. 504, no. 7478, pp. 84-88, 2013.
8.
G. M. Hallegraeff et al., "Perceived global increase in algal blooms is attributable to intensified monitoring and emerging bloom impacts", Commun. Earth Environ., vol. 2, no. 1, 2021.
9.
D. Liu, J. K. Keesing, Q. Xing and P. Shi, "World’s largest macroalgal bloom caused by expansion of seaweed aquaculture in China", Mar. Pollut. Bull., vol. 58, no. 6, pp. 888-895, 2009.
10.
J. Zhao et al., "The Yellow Sea green tide: A risk of macroalgae invasion", Harmful Algae, vol. 77, pp. 11-17, Jul. 2018.
11.
M. Cao et al., "Unprecedent green macroalgae bloom: Mechanism and implication to disaster prediction and prevention", Int. J. Digit. Earth, vol. 16, no. 1, pp. 3773-3794, 2023.
12.
Q. Xing and C. Hu, "Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique", Remote Sens. Environ., vol. 178, pp. 113-126, Jun. 2016.
13.
Q. Xing et al., "Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign", Mar. Pollut. Bull., vol. 133, pp. 150-156, Aug. 2018.
14.
L. Qi, C. Hu, Q. Xing and S. Shang, "Long-term trend of Ulva prolifera blooms in the western Yellow Sea", Harmful Algae, vol. 58, pp. 35-44, Sep. 2016.
15.
C. Hu et al., "On the recurrent Ulva prolifera blooms in the Yellow Sea and East China Sea", J. Geophys. Res. Oceans, vol. 115, no. C5, 2010.
16.
X. Guo, A. Zhu and R. Chen, "China’s algal bloom suffocates marine life", Science, vol. 373, no. 6556, pp. 751, 2021.
17.
S. Sun et al., "Emerging challenges: Massive green algae blooms in the Yellow Sea", Nature Precedings, Sep. 2008.
18.
Z. Wang et al., "Current situation of prevention and mitigation of the Yellow Sea green tide and proposing control measurements in the early stage", Haiyang Xuebao, vol. 42, no. 8, pp. 1-11, 2020.
19.
C. Hu et al., "Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products", Int. J. Appl. Earth Observ. Geoinf., vol. 116, Feb. 2023.
20.
Y. Guo, L. Gao and X. Li, "A deep learning model for green algae detection on SAR images", IEEE Trans. Geosci. Remote Sens., vol. 60, Oct. 2022.
21.
D. Liu, J. K. Keesing, P. He, Z. Wang, Y. Shi and Y. Wang, "The world’s largest macroalgal bloom in the Yellow Sea China: Formation and implications", Estuarine Coastal Shelf Sci., vol. 129, pp. 2-10, Sep. 2013.
22.
D. Yang, K. V. Yuen, X. Gu, C. Sun and L. Gao, "Influences of environmental factors on the dissipation of green tides in the Yellow Sea China", Mar. Pollut. Bull., vol. 189, Apr. 2023.
23.
Q. Xing et al., "Monitoring ‘Green Tide’ in the Yellow sea and the East China sea using multi-temporal and multi-source remote sensing images", Spectrosc. Spectral Anal., vol. 31, no. 6, pp. 1644-1647, 2011.
24.
L. Qi and C. Hu, "To what extent can Ulva and Sargassum be detected and separated in satellite imagery?", Harmful Algae, vol. 103, Mar. 2021.
25.
T. Cui et al., "Assessing and refining the satellite-derived massive green macro-algal coverage in the Yellow Sea with high resolution images", ISPRS J. Photogrammetry Remote Sens., vol. 144, pp. 315-324, Oct. 2018.
26.
H. Zheng, Z. Liu, B. Chen and H. Xu, "Quantitative Ulva prolifera bloom monitoring based on multi-source satellite ocean color remote sensing data", Appl. Ecol. Environ. Res., vol. 18, no. 4, pp. 4897-4913, 2020.
27.
X. Pan et al., "Macroalgae monitoring from satellite optical images using Context-sensitive level set (CSLS) model", Ecol. Indicators, vol. 149, May 2023.
28.
L. Qi, M. Wang and C. Hu, "Uncertainties in MODIS-derived Ulva Prolifera amounts in the Yellow Sea: A systematic evaluation using sentinel-2/MSI observations", IEEE Geosci. Remote Sens. Lett., vol. 20, May 2023.
29.
A. Harun-Al-Rashid and C.-S. Yang, "Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data", Int. J. Remote Sens., vol. 39, no. 13, pp. 4402-4415, 2018.
30.
W. Shi and M. Wang, "Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008", J. Geophys. Res. Oceans, vol. 114, no. C12, 2009.
