Results 41 to 50 of about 5,942,429 (123)
Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods [PDF]
Atmospheric Measurement TechniquesData fusion of aerosol optical depth (AOD) datasets from the second generation of the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2, GK-2) series was undertaken using both statistical and deep neural network (DNN)-based methods.
M. Kim +9 more
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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
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
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 +8 more
wiley +1 more source
, 2012 After the successful launch and operation of Geostationary Ocean Color Imager(GOCI-I), necessityof succession of GOCI mission, ocean environment monitoring with ocean color, is highly increasinginto international ocean color remote sensing users as well ...
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천리안 해양위성 2 호 (GOCI II) 대기보정 개선 현황
, 2023 천리안해양위성 2호(2nd Geostationary Ocean Color Imager: GOCI-II)는 세계최초 정지궤도 해색위성인 천리안해양위성(GOCI)의 후속위성이다. GOCI-II는 기존 GOCI 대비 공간해상도가 500m에서 250m로 향상되고 4개의 분광밴드가 추가되어 380, 412, 443, 490, 510, 555, 620, 660, 680, 709, 745, 865 nm의 12개 파장대로 한반도를 포함한 동북아 해양환경을 관측한다.
Choi, Jong Kuk +9 more
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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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Systematic Entomology, Volume 49, Issue 3, Page 447-494, July 2024.We redefine the circumscription of Ormyridae based on a phylogenomic dataset and morphological reassessment. Based on the phylogenetic results and comparative morphological assessment, subfamilies are established for the first time. The results support the description of two new genera Halleriaphagus van Noort and Burks, gen.
Simon van Noort +8 more
wiley +1 more source
, 2016 Korea-US joint field campaign for ocean color research (KORUS-OC) was conducted around Korean seas May 20th through June 6th, 2016 concurrent with NASA.
김상완 +4 more
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Real-time detection of harmful algal blooms using GOCI II and buoy-based dissolved oxygen variations
Environmental Research LettersHarmful 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
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