Unprecedent green macroalgae bloom: mechanism and implication to disaster prediction and prevention DOI Creative Commons
Mengmeng Cao, Xuyan Li, Tingwei Cui

et al.

International Journal of Digital Earth, Journal Year: 2023, Volume and Issue: 16(1), P. 3772 - 3793

Published: Sept. 18, 2023

Green macroalgae bloom (GMB), with the dominant species of Ulva prolifera, has regularly occurred since 2007 along China coast. Although disaster prevention and control achieved favorable results in 2020, satellite-observed GMB annual maximum coverage (AMC) rebounded sharply 2021 to an unprecedented level. The reasons for this rebound significant interannual variability over past 15 years are still open questions. Here, by using long-term time-series (2007–2022) optical Synthetic Aperture Radar satellite observations (1000+ scenes), meteorological data water quality statistics, mechanism analysis was performed exploring effects from natural factors human activities. Two key determinants AMC successfully identified numerous potential which distribution a area (the Subei Shoal) during critical period (from April May 20) nutrient availability. Furthermore, these two parameters, novel model prediction (R2 = 0.87, p < 0.01) is proposed independently validated, can reasonably explain (2014–2021) agree well latest observation 2022 (percentage difference 12%). Finally, suggestions future alleviation. This work may aid management measure optimization.

Language: Английский

Mapping and quantifying pelagic Sargassum in the Atlantic Ocean using multi-band medium-resolution satellite data and deep learning DOI Creative Commons
Chuanmin Hu, Shuai Zhang, Brian B. Barnes

et al.

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 289, P. 113515 - 113515

Published: Feb. 28, 2023

Language: Английский

Citations

34

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review DOI Creative Commons
Rosa Maria Cavalli

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

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

Language: Английский

Citations

11

A refined deep-learning-based algorithm for harmful-algal-bloom remote-sensing recognition using Noctiluca scintillans algal bloom as an example DOI

Rongjie Liu,

Binge Cui, Wenwen Dong

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 467, P. 133721 - 133721

Published: Feb. 5, 2024

Language: Английский

Citations

9

Exploration and implication of green macroalgal proliferation in the Nanhui-east-tidal-flat: an investigation of post-reclamation mudflat wetlands DOI Creative Commons
Jinlin Liu, Zhangyi Xia,

Yinqing Zeng

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 27, 2025

The Nanhui-east-tidal-flat (NETF), the largest marginal shoal in Yangtze River of China, is significantly impacted by human activities. Prior research has not detected presence green macroalgae NETF, nor it explored effects reclamation on distribution macroalgae. However, 2021, a small-scale aggregated attached algal mats emerged potentially signaling onset tide and necessitating vigilant monitoring. Morphological molecular biological identification analysis revealed that all collected were attributed to single dominant species, Ulva prolifera , characterized broad blades prominent air bladders, colonizing various substrates. U. exhibited continuous growth from March May peaking at wet weight 373.6229 g/m² dry 72.7904 1, within accessible sampling period. rapid proliferation “opportunistic” was facilitated high-level eutrophication favorable environmental conditions. Furthermore, six potential germplasm sources are summarized. dominance intertidal zone often indicates high deteriorating ecological With long-term repeated restoration projects, vegetation subjected vicious cycle destruction. Therefore, important recognize (macroalgae micropropagules) will persist over long term, mudflats with monotonous eutrophic habitats highly likely experience future large-scale blooms. Notably, floating observed sea area near NETF July 2023, such concerns unfounded. This study conducts foundational scientific algae, type relatively scarce other marine areas. Most studies tend initiate only after outbreak tides, lacking early background data environment, thus rendering this significant reference value. Concurrently, emphasizes field surveys remain an essential approach for conducting algae region, need select appropriate methods based occurrence development mats, as required situation. Importantly, reflects stability ecosystems prerequisite modern ocean management services, provides new perspectives highlights risk factors should be considered implementation construction projects.

Language: Английский

Citations

1

Continuous Sargassum monitoring across the Caribbean Sea and Central Atlantic using multi-sensor satellite observations DOI Creative Commons

Yue Sun,

Mengqiu Wang, M. Liu

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 309, P. 114223 - 114223

Published: May 27, 2024

Recurrent transnational Sargassum blooms across the Caribbean Sea and Atlantic Ocean have received growing attention. Different multispectral sensors, including Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imager Radiometer Suite (VIIRS), Land Color Instrument (OLCI), been used to map their distributions. However, synergistic use of multi-sensor observations for high temporal resolution monitoring is lacking. Here, by combining MODIS (on Aqua Terra), VIIRS JPSS1 SNPP), OLCI Sentinel-3A -3B) observations, 3-day mean distributions were mapped Central Atlantic. The biomass densities derived using sensor-specific Alternative Floating Algae Index (AFAI)-biomass model, consistency between six sensors was examined as reference sensor. Comparison from different shows that they strong linear correlations (R2 ≥ 0.95), demonstrating continuity six-sensor observations. On average, combined datasets provide ∼1.6 times more valid compared MODIS-only dataset in 2021, enabling generation 0.5° products over ∼90% study region. Such detected ∼10-20% bloom peak month (June 2021) monthly counterpart. Increasing spatial 0.1°, can continuously monitor dynamics with eddies tropical cyclones, which cannot be well captured single sensors. This highlights multiple polar-orbiting satellite achieve gap-free floating macroalgae Atlantic, thus facilitating analyses response environmental conditions prediction future events.

Language: Английский

Citations

6

A new approach to quantify chlorophyll-a over inland water targets based on multi-source remote sensing data DOI
J. P. Wang,

Xiaoling Chen

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167631 - 167631

Published: Oct. 6, 2023

Language: Английский

Citations

15

Interannual variations of Sargassum blooms in the Yellow Sea and East China Sea during 2017–2021 DOI
Zongling Wang, Chao Yuan, Xuelei Zhang

et al.

Harmful Algae, Journal Year: 2023, Volume and Issue: 126, P. 102451 - 102451

Published: May 6, 2023

Language: Английский

Citations

14

Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations DOI Creative Commons
Lin Qi, Menghua Wang, Chuanmin Hu

et al.

IEEE Geoscience and Remote Sensing Letters, Journal Year: 2023, Volume and Issue: 20, P. 1 - 5

Published: Jan. 1, 2023

Uncertainties are an integral part of remote sensing data products in order to quantify changes, yet due patchiness and spatial heterogeneity, it is difficult use field measurements estimate uncertainties the satellite-derived Ulva prolifera (U. prolifera, also called green tides) amounts Yellow Sea. This perhaps why such estimates missing nearly all literature on U. mapping. Here, by comparing available collected Moderate Resolution Imaging Spectroradiometer (MODIS) Terra/Aqua satellites MultiSpectral Instrument (MSI) Sentinel-2A/ 2B for period 2015–2022, we evaluate MODIS-derived amounts. The relative found decrease with increasing individual images, ranging from 58.8% areal coverage (after pixel unmixing) < 50 km2 8.7% $>$ 200 km2. Such monthly composite because increased number observations, reducing 3% total amount during peak months. uncertainty estimates, terms, expected serve as a reference when interpreting temporal changes long-term derived satellite data.

Language: Английский

Citations

13

Identification and assessment of the drift velocity of green tides using the maximum cross-correlation method in the Yellow Sea DOI
Menghao Ji,

Chengyi Zhao,

Xin Dou

et al.

Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 194, P. 115420 - 115420

Published: Aug. 24, 2023

Language: Английский

Citations

13

Evolutionary trends and analysis of the driving factors of Ulva prolifera green tides: A study based on the random forest algorithm and multisource remote sensing images DOI
Wenlong Hou, Jinyue Chen, Maoxia He

et al.

Marine Environmental Research, Journal Year: 2024, Volume and Issue: 198, P. 106495 - 106495

Published: April 15, 2024

Language: Английский

Citations

5