Results 1 to 10 of about 7,681,410 (136)
Remote Sensing, 2021 A record-breaking agglomeration of Sargassum was packed along the northern Jeju coast in Korea in 2021, and laborers suffered from removing them from the beach.
Jisun Shin +5 more
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Evaluating Geostationary Satellite-Based Approaches for NDVI Gap Filling in Polar-Orbiting Satellite Observations [PDF]
SensorsThe Normalized Difference Vegetation Index (NDVI) derived from polar-orbiting satellites is widely used for vegetation monitoring; however, its temporal continuity is often limited by cloud contamination and fixed revisit cycles.
Han-Sol Ryu +3 more
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Remote Sensing, 2021 The first geostationary ocean color data from the Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) have been accumulating for more than ten years from 2010.
Myung-Sook Park +5 more
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Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions [PDF]
Sensors, 2020 Lian Feng, Dan Zhao
exaly +2 more sources
GEO-KOMPSAT-2A/2B AMI/GOCI-II/GEMS Data & Products [PDF]
Geo Data, 2022 Two geostationary satellites developed by the Korea Aerospace Research Institute and currently in operation are the GEO-KOMPSAT-2A (GK-2A) and the GEO-KOMPSAT-2B (GK-2B).
Sungsik Huh, Kyoung-Wook Jin
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Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data
Remote Sensing, 2023 In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction.
Kyeong-Sang Lee +3 more
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Remote Sensing, 2022 Land surface reflectance (LSR) is well known as an essential variable to understand land surface properties. The Geostationary Ocean Color Imager (GOCI) be able to observe not only the ocean but also the land with the high temporal and spatial resolution
Kyeong-Sang Lee +6 more
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Retrievals of Chlorophyll-a from GOCI and GOCI-II Data in Optically Complex Lakes
Remote Sensing, 2023 The chlorophyll-a (Chla) concentration is a key parameter to evaluate the eutrophication conditions of water, which is very important for monitoring algal blooms.
Yuyu Guo +7 more
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Remote Sensing, 2023 As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for monitoring water quality and managing the marine ecosystem. However, current mainstream Chl-a inversion algorithms have limited accuracy and poor spatial and temporal
Jiru Wang +4 more
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Remote Sensing, 2020 Atmospheric correction is a fundamental process to remove the atmospheric effect from the top-of-atmosphere level. The atmospheric correction algorithm developed by the Korea Institute of Ocean Science and Technology employs a near-infrared (NIR) water ...
Jae-Hyun Ahn, Young-Je Park
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