Results 71 to 80 of about 1,152 (203)
A Study of Tasseled Cap Transformation Coefficient for the Geostationary Ocean Color Imager (GOCI)
Korean Journal of Remote Sensing, 2014 The objective of this study is to determine Tasseled Cap Transformation (TCT) coefficients for the Geostationary Ocean Color Imager (GOCI). TCT is traditional method of analyzing the characteristics of the land area from multi spectral sensor data.
Ji-Sun Shin, Wook Park, Joong-Sun Won
openaire +2 more sources
CMOS detectors for space applications: from R&D to operational program with large volume foundry [PDF]
, 2010 Nowadays, CMOS image sensors are widely considered for space applications. The use of CIS (CMOS Image sensor) processes has significantly enhanced their performances such as dark current, quantum efficiency and conversion gain.
Breart de Boisanger, Michel +6 more
core +1 more source
Earth and Space Science, Volume 12, Issue 11, November 2025.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
Geophysical Research Letters, Volume 52, Issue 19, 16 October 2025.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
Korean Journal of Remote Sensing, 2014 We proposed and verified the methods to maintain data qualities as well as to reduce data volume for the Geostationary Ocean Color Imager (GOCI), the world’s first ocean color sensor operated in geostationary orbit. For the GOCI level-2 data, 92.9% of data volume could be saved by only the data compression. For the GOCI level-1 data, however, just 20.7%
Hyun Yang +4 more
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Exploring Himawari-8 geostationary observations for the advanced coastal monitoring of the Great Barrier Reef [PDF]
, 2021 Larissa developed an algorithm to enable water-quality assessment within the Great Barrier Reef (GBR) using weather satellite observations collected every 10 minutes.
Patricio Valerio, Larissa
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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 +2 more
wiley +1 more source
Remote Sensing, 2018 The Moderate-Resolution Wide-Wavelength Imager (MWI), onboard the Tiangong-2 (TG-2) Space Lab, is an experimental satellite sensor designed for the next-generation Chinese ocean color satellites.
Qu Zhou +4 more
doaj +1 more source
Remote Sensing, 2022 In the application of ocean color remote sensing, remote sensing reflectance spectral (Rrs(λ)) is the most important and basic parameter for the development of bio-optical algorithms.
Xiaoyan Liu +3 more
doaj +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 +3 more
wiley +1 more source