Results 71 to 80 of about 793 (204)

Daily Sun‐induced chlorophyll fluorescence vs. irradiance curves reflect the photoadaptation of phytoplankton in surface waters

Limnology and Oceanography, Volume 70, Issue 4, Page 1001-1015, April 2025.
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, David Antoine, Vincenzo Vellucci   +2 more
wiley   +1 more source

Short‐Term Sea Fog Area Forecast: A New Data Set and Deep Learning Approach

Journal of Geophysical Research: Machine Learning and Computation, Volume 1, Issue 3, September 2024.
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, Yuan Zhou, Tian Ren, Xiaofeng Li   +3 more
wiley   +1 more source

Recent warming of the Kuroshio Current has promoted offshore sediment transport in the Yellow Sea

Limnology and Oceanography Letters, Volume 9, Issue 4, Page 452-460, August 2024.
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, Xiaomei Xu, Tao Liu, Guang Yang, Shengjing Liu, Jixuan Lyu, Shuo Zhang, Hui Sheng, Jianhua Gao   +8 more
wiley   +1 more source

Comparison of NDVIs from GOCI and MODIS Data towards Improved Assessment of Crop Temporal Dynamics in the Case of Paddy Rice

Remote Sensing, 2015
The monitoring of crop development can benefit from the increased frequency of observation provided by modern geostationary satellites. This paper describes a four-year testing period from 2010 to 2014, during which satellite images from the world's ...
Jong-Min Yeom, Hyun-Ok Kim
doaj   +1 more source

Spatial, seasonal and climatic drivers of suspended sediment atop Great Bahama Bank

Sedimentology, Volume 71, Issue 3, Page 769-792, April 2024.
ABSTRACT Suspension is the key mechanism by which fine‐grained sediment (≤125 μm) is winnowed and transported across shallow‐water carbonate platforms into adjacent deep waters. Unlike sliding and saltation, which deliver sedimentary structures via bedload, the sedimentological signature of suspended sediment is more cryptic.
Cecilia Lopez‐Gamundi, Brian B. Barnes, Anna C. Bakker, Paul (Mitch) Harris, Gregor P. Eberli, Sam J. Purkis   +5 more
wiley   +1 more source

Identifying algal bloom types and analyzing their diurnal variations using GOCI-Ⅱ data

International Journal of Applied Earth Observations and Geoinformation
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, Fang Shen, Yuan Zhang, Zhaoxin Li, Songyu Chen   +4 more
doaj   +1 more source

Enhancing Sea Surface Current Retrieval From Geostationary Ocean Color Imager Observations: Multispectral Optimization and Validation With HF Radar

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Understanding surface current variability is critical for marine environmental monitoring and oceanographic applications. This study assesses the performance of the Geostationary Ocean Color Imager (GOCI) in retrieving sea surface currents using the ...
Zifeng Hu, Xiaodong Chen, Junfang Lin, Katsuto Uehara, Linke Yuan, Jian Zhou   +5 more
doaj   +1 more source

A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data [PDF]

Remote Sensing, 2015
Due to the spatiotemporal variations of complex optical characteristics, accurately estimating chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing techniques remains challenging. In this study, a weighted algorithm was developed to estimate the Chl-a concentrations based on spectral classification and weighted matching using ...
Ying Bao, Qingjiu Tian, Min Chen 0008
openaire   +2 more sources

Sampling Uncertainties of Long-Term Remote-Sensing Suspended Sediments Monitoring over China’s Seas: Impacts of Cloud Coverage and Sediment Variations

Remote Sensing, 2020
Satellite-based ocean color sensors have provided an unprecedentedly large amount of information on ocean, coastal and inland waters at varied spatial and temporal scales.
Liqiao Tian, Xianghan Sun, Jian Li, Qianguo Xing, Qingjun Song, Ruqing Tong   +5 more
doaj   +1 more source

Monitoring Red Tide in South Sea of Korea (SSK) Using the Geostationary Ocean Color Imager (GOCI)

Korean Journal of Remote Sensing, 2012
To identify Cochlodinium polykrikoides red tide from non-red tide water (satellite high chlorophyll waters) in the South Sea of Korea (SSK), we improved a spectral classification method proposed by Son et al.(2011) for the world first Geostationary Ocean Color Imager (GOCI). C.
Young Baek Son, Yoon Hyang Kang, Joo Hyung Ryu   +2 more
openaire   +2 more sources