An improved UAV RGB image processing method for quantitative remote sensing of marine green macroalgae DOI Creative Commons
J. Li, Qianguo Xing, Liqiao Tian

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 19864 - 19883

Published: Jan. 1, 2024

Language: Английский

Review of the development of the green tide and the process of control in the southern Yellow Sea in 2022 DOI
Zhangyi Xia, Jinlin Liu, Shuang Zhao

et al.

Estuarine Coastal and Shelf Science, Journal Year: 2024, Volume and Issue: 302, P. 108772 - 108772

Published: April 19, 2024

Language: Английский

Citations

14

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

A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides DOI Creative Commons
Xiaomeng Geng, Huiru Li, Le Wang

et al.

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

Published: Jan. 28, 2025

In recent years, Ulva prolifera green tide, as a large-scale marine ecological phenomenon, has occurred frequently in coastal areas such the Yellow Sea and East China Sea, significantly affecting ecosystems fishery resources. With continuous advancement of remote sensing technologies, these technologies have become indispensable tools for monitoring tides. This review provides comprehensive overview advances band indices detecting tides, including spatiotemporal distribution analysis, area biomass estimation, drift trajectory modeling, investigations their driving mechanisms. Additionally, it identifies limitations unresolved challenges current approaches, constraints on data resolution, algorithmic biases, environmental variability. The potential integrating multi-source with parameters deep learning techniques is discussed, emphasizing roles improving accuracy reliability predicting aims to guide future research efforts technological innovations this field.

Language: Английский

Citations

1

Approaches, challenges and prospects for modeling macroalgal dynamics in the green tide: The case of Ulva prolifera DOI

Hu Chang,

Ping Zuo,

Yuru Yan

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 215, P. 117897 - 117897

Published: March 31, 2025

Language: Английский

Citations

0

A comprehensive study on ecological insights of Ulva lactuca seaweed bloom in a lagoon along the southeast coast of India DOI

P. Nila Rekha,

Nishan Raja Raja,

Jayakumar Rengarajan

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 248, P. 106964 - 106964

Published: Dec. 14, 2023

Language: Английский

Citations

8

Remote Sensing Identification and Spatiotemporal Change Analysis of Cladophora with Different Morphologies DOI Creative Commons
Wenting Xu,

Qian Shen,

Bo Zhang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 602 - 602

Published: Feb. 5, 2024

Cladophora qinghaiensis, an endemic species of in saltwater lakes, was scientifically named 2021 (hereafter referred to as Cladophora). exists different morphologies, including attached submerged (AC), grown floating (GFC), and death (DFC). Previous satellite remote sensing has mainly focused on identifying algae. In this study, Qinghai Lake served a case classification decision tree model (CDTM) proposed. The employed the chlorophyll spectral index (CSI) normalized difference vegetation (NDVI) differentiate AC, Floating (FC), water. Additionally, (FCI) introduced further distinguish GFC DFC within FC. method applicable Sentinel-2 images from 2016–2023. Visual interpretation methods were used for Landsat series summer months (July September) obtain AC results demonstrate that over past 30 years, areas inhabited by FC have increased gradually. three morphologies also exhibited seasonal variations, with growth observed annually May–June, reaching peaks August–September, gradually declining October. addition, combining factors such water surface area climatic factors, we analyzed driving forces influencing changes Cladophora. research, showed significant correlations area, correlation coefficients (r) approximately 0.9 0.7, respectively. These new findings provide valuable insights regarding spatiotemporal underlying causes global saline lakes.

Language: Английский

Citations

2

An improved UAV RGB image processing method for quantitative remote sensing of marine green macroalgae DOI Creative Commons
J. Li, Qianguo Xing, Liqiao Tian

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 19864 - 19883

Published: Jan. 1, 2024

Language: Английский

Citations

2