Results 31 to 40 of about 1,152 (203)
Abstract The Tohoku earthquake off the Pacific coast of Japan on 11 March 2011 and the resulting tsunami led to severe damage to the Fukushima Daiichi Nuclear Power Plant (FDNPP) in Japan. Therefore, a shipboard survey was conducted to elucidate spread processes of radioactive cesium over the coastal ocean in the Kuroshio–Oyashio transition zone (south
Kiyoshi Tanaka +6 more
wiley +1 more source
Abstract Accurate water extraction and quantitative estimation of water quality are two key and challenging issues for remote sensing of water environment. Recent advances in remote sensing big data, cloud computing, and machine learning have promoted these two fields into a new era.
Jinyue Chen +8 more
wiley +1 more source
This paper uses the GIS technology to collect location and geographic information of the South Atlantic ecological environment and then uses the remote sensing image technology to extract and analyse the collected information to provide a strong basis for maintaining a healthy marine ecological environment. Based on multitemporal remote sensing images,
Jingjing Xu, Peisheng Yan, Miaochao Chen
wiley +1 more source
Abstract Questions of whether diurnal changes in carbon fixation affect the global carbon budget cannot be answered using the present generation of polar orbiting ocean color sensors that can only retrieve one image daily. Here, we present novel satellite‐derived indices of chlorophyll‐based production based on the Geostationary Ocean Color Imager ...
Joseph E. Salisbury +6 more
wiley +1 more source
Abstract Geostationary meteorological satellites are recently receiving a great deal of attention from the aerosol remote sensing community due to their increasingly advanced performances including their ability to acquire multiple views of the Earth per day.
Xavier Ceamanos +2 more
wiley +1 more source
Validation of remote-sensing reflectance (Rrs) products is necessary for the quantitative application of ocean color satellite data. While validation of Rrs products has been performed in low to moderate turbidity waters, their performance in highly ...
Yuzhuang Xu +5 more
doaj +1 more source
Abstract Algal blooms dominated by the raphidophyte Chattonella spp. and diatom Skeletonema spp. are a regular summer‐time phenomenon in the Ariake Sea (Japan). Given its high‐temporal frequency, the Geostationary Ocean Color Imager (GOCI) affords us the extraordinary ability to investigate short‐temporal scale dynamic of these blooms.
Chi Feng +4 more
wiley +1 more source
Atmospheric Correction of GOCI Using Quasi-Synchronous VIIRS Data in Highly Turbid Coastal Waters
The Geostationary Ocean Color Imager (GOCI) sensor, with high temporal and spatial resolution (eight images per day at an interval of 1 hour, 500 m), is the world’s first geostationary ocean color satellite sensor. GOCI provides good data for ocean
Jie Wu +2 more
doaj +1 more source
Ocean Disaster Detection System(OD2S) using Geostationary Ocean Color Imager(GOCI)
We developed the ocean disaster detection system(OD2S) which copes with the occurrences of ocean disasters (e. g. the red and green tide, the oil spill, the typhoon, and the sea ice) by converging and integrating the ocean color remote sensing using the satellite and the information technology exploiting the mass data processing and the pattern ...
Hyun Yang +4 more
openaire +2 more sources
Abstract Variations in concentrations of PM2.5, particulate matters of diameters below 2.5 μm, vary following both meteorological conditions and emissions controls. Meteorological conditions particularly affect short‐term high PM2.5 episodes through accumulations, transports, and secondary formations. This study quantifies the meteorological impacts on
L.‐S. Chang +12 more
wiley +1 more source

