Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products

Weekly Green Tide Mapping in the Yellow Sea with Deep Learning: Integrating Optical and SAR Ocean Imagery

“…Based on daily and weekly green tide datasets derived from optical and SAR images, we analyzed to determine the annual maximum area coverage of algae observed by both satellites. The resulting maximum coverage time series aligns with findings from Cao et al (2023) and Hu et al (2023). As shown in Fig.…”

“…Following the methodology outlined by Hu et al (2023) for defining monthly green tide data, the specific process of integrating daily optical and SAR green tide products in this article is as follows:…”

“…Consequently, manual labeling and sharing representative sample labels have posed persistent challenges. Moreover, despite the plethora of green algae extraction algorithms proposed in previous studies, the time series of historical green tide coverage datasets, dating back to the inception of green tide records, have yet to be made publicly available and shared (Hu et al, 2019;Hu et al, 2023;Cao et al, 2023). These datasets serve as the foundation of green tide research and provide essential data for the mutual comparison and verification of various extraction algorithms.…”

Ecological Impact Patterns and Temporal Cycles of Green Tide Biomass in the Settlement Region: Based on Time-Series Remote Sensing and In Situ Data

“…Therefore, a buffer zone of 5 km from the shoreline towards the sea was masked when calculating the green tide biomass, whereby, anomalous values of green tide biomass due to accidentally recorded signals from land surfaces are also excluded. According to the statistical results of the latest study and this paper, the upper-bound AFAI threshold value of GOCI imaging was found to be 0.149 [55]. Therefore, the empirical formula for the green tide biomass was modified for our study.…”

Fusion technology for green tide information in the Yellow Sea detected from multi-source satellite images

“…Since 2007, the annual outbreaks of green algae in the Yellow Sea have become the world's largest-scale green tide [1][2][3], posing the most severe ecological disaster in the Yellow Sea [4] and causing varying degrees of impact on water sports, tourism, aquaculture, and port shipping in some areas along the coast of the Yellow Sea [1][2][3][4]. Satellite remote sensing, with its advantages of wide-range and instantaneous monitoring, can obtain accurate locations of green tides and serves as a major reference for making real-time emergency plans for green algae disasters [5][6][7][8][9][10]. It is also the primary source for the initial field of green tide drift prediction [11][12][13][14].…”