Results 31 to 40 of about 7,681,410 (136)
Identifying algal bloom types and analyzing their diurnal variations using GOCI-Ⅱ data
Frequent algal blooms pose a serious threat to the marine ecosystem of the East China Sea. The Geostationary Ocean Color Imager-Ⅱ (GOCI-Ⅱ), a second-generation geostationary satellite sensor, is crucial for monitoring marine environmental dynamics.
Renhu Li +4 more
doaj +1 more source
Abstract Retrievals of ocean color (OC) properties from space are important for understanding the ocean ecosystem, the carbon cycle, and monitoring events such as harmful algal blooms (HABs). The recently launched U.S. National Aeronautics and Space Administration (NASA) Earth Venture Instrument, the geostationary Tropospheric Emissions: Monitoring of ...
Z. Fasnacht +10 more
wiley +1 more source
Abstract The detection of submesoscale fronts is critical for understanding physical‐biological interactions and ecosystem variability. This study characterizes the diurnal variability of chlorophyll‐a (Chl‐a) fronts using hourly data from the geostationary satellite GK‐2B/GOCI‐II in the East/Japan Sea.
Hye‐Jin Woo +2 more
wiley +1 more source
Spatiotemporal Gap-Filling of GOCI-II Chlorophyll-a Using Attention-Based Partial Convolution Model
Ocean color remote sensing provides continuous observations of marine environments, with the Geostationary Ocean Color Imager-II (GOCI-II) offering high temporal resolution data for waters surrounding the Korean Peninsula.
Chae-Eun Kim +3 more
doaj +1 more source
Abstract Phytoplankton chlorophyll Sun‐induced fluorescence is observable in the upwelling light field of the ocean. This allows its observation by radiometers in situ or on satellite sensors. Since it is influenced by both biomass and physiology it can potentially provide information about both.
Yannick Huot +2 more
wiley +1 more source
Short‐Term Sea Fog Area Forecast: A New Data Set and Deep Learning Approach
Abstract Prompt and precise forecast of sea fog regions ensures maritime navigational safety. This paper establishes a prompt and precise forecast of sea fog regions that ensure maritime navigational safety. This paper establishes a multivariable sea fog forecast (MV‐SFF) data set and proposes a deep learning‐based forecast method named rich‐element ...
Keran Chen +3 more
wiley +1 more source
There is data for the journal of " Detection and tracking of Chattonella spp. and Skeletonema spp. blooms using Geostationary Ocean Color Imager (GOCI) in Ariake Sea, JapanDetection and tracing of Chattonella spp.
Chi Feng +4 more
core +1 more source
Real-time detection of harmful algal blooms using GOCI II and buoy-based dissolved oxygen variations
Harmful algal blooms (HABs) threaten aquatic ecosystems and water quality, necessitating timely monitoring. Traditional satellite observations, including high-frequency sensors like Geostationary Ocean Color Imager II (GOCI-II), are often hindered by ...
Jiarui Shi +6 more
doaj +1 more source
The recurring occurrence of green tides as an ecological disaster has been reported annually in the Yellow Sea. While remote sensing technology effectively tracks the scale, extent, and duration of green tide outbreaks, there is limited research on the ...
Menghao Ji +3 more
doaj +1 more source
Recent warming of the Kuroshio Current has promoted offshore sediment transport in the Yellow Sea
Abstract As cross‐shelf gradients of most properties are typically much steeper than those in the alongshore direction, transport across isobaths tends to be inhibited, particularly at oceanic fronts where cross‐shelf gradients are markedly pronounced.
Yong Shi +8 more
wiley +1 more source

