Results 21 to 30 of about 1,152 (203)

Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations

Environmental Pollution, 2021
To better understand air quality issues in South Korea, it is essential to identify the main contributors of air pollution and to quantify the effects of transboundary transport. In this study, geostationary satellite measurements were used to assess the effects of aerosol transport on air quality in South Korea.
Seoyoung Lee, Minseok Kim, Seung-Yeon Kim, Dong-Won Lee, Hanlim Lee, Jhoon Kim, Sophia Le, Yang Liu   +7 more
openaire   +4 more sources

Remote quantification of Cochlodinium polykrikoides blooms occurring in the East Sea using geostationary ocean color imager (GOCI)

Harmful Algae, 2018
Accurate and timely quantification of widespread harmful algal bloom (HAB) distribution is crucial to respond to the natural disaster, minimize the damage, and assess the environmental impact of the event. Although various remote sensing-based quantification approaches have been proposed for HAB since the advent of the ocean color satellite sensor ...
Jae Hoon Noh, Wonkook Kim, Seung Hyun Son, Jae-Hyun Ahn, Young-Je Park   +4 more
openaire   +4 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
doaj   +1 more source

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, Myung-Sook Park, Jong-Kuk Choi, Jae-Hyun Ahn   +3 more
doaj   +1 more source

Hypothetical Product Generation of Geostationary Ocean Color Imager Bands Over the Yellow Sea and Bohai Sea Using Deep Learning Technique

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This study presents a deep learning model, using the conditional generative adversarial nets (CGAN) technique, that can produce daytime visible (VIS) band information, mimicking a narrow band sensor, by combining VIS and infrared (IR) broadband ...
Sumin Ryu, Sungwook Hong
doaj   +1 more source

Triboelectric Nanogenerators for Marine Applications: Recent Advances in Energy Harvesting, Monitoring, and Self‐Powered Equipment

Advanced Materials Technologies, Volume 8, Issue 21, November 10, 2023., 2023
This paper reviews how Triboelectric Nanogenerators (TENGs) can be used for marine applications. TENGs are devices that convert mechanical energy into electrical energy. This review discusses how TENGs can harvest energy, monitor, forecast, and connect with Internet of Things (IoT) in the marine environment.
Tanvir Mahady Dip, Md. Reasat Aktar Arin, Habibur Rahman Anik, Md Mazbah Uddin, Shariful Islam Tushar, Abdullah Sayam, Suraj Sharma   +6 more
wiley   +1 more source

Characterizing Tidal Currents and Guangdong Coastal Current Over the Northern South China Sea Shelf Using Himawari‐8 Geostationary Satellite Observations

Earth and Space Science, Volume 10, Issue 9, September 2023., 2023
Abstract Obtaining high spatiotemporal resolution surface currents with wide coverage is of great importance for understanding marine physical and biogeochemical processes, as well as practical applications. This study utilizes the sequential hourly images from the Himawari‐8 geostationary satellite to map the semidiurnal M2 surface tidal current ...
Zifeng Hu, Huadong Li, Dongxiao Wang
wiley   +1 more source

Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data

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, Seonju Lee, Jae-Hyun Ahn, Sun-Ju Lee, Jong-Kuk Choi, Joo-Hyung Ryu   +5 more
doaj   +1 more source

Surf, Turf, and Above the Earth: Unmet Needs for Coastal Air Quality Science in the Planetary Boundary Layer (PBL)

Earth's Future, Volume 11, Issue 6, June 2023., 2023
Abstract Coastal areas are some of the most densely populated and economically important regions in the world. As such, protecting the health of the human population and ecosystems at the coastal interface and understanding the impacts of environmental stressors such as air pollutants provides wide‐ranging benefits.
John T. Sullivan, Ryan M. Stauffer, Anne M. Thompson, Maria A. Tzortziou, Christopher P. Loughner, Carolyn E. Jordan, Joseph A. Santanello   +6 more
wiley   +1 more source

Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A

Journal of Geophysical Research: Atmospheres, Volume 127, Issue 9, 16 May 2022., 2022
Abstract The rapid urbanization in China and the long‐range transport dust (LRTD) from arid and semi‐arid areas has resulted in an increase of PM10 concentration. In this study, an interpretable deep learning model [deep forest (DF)] with FY‐4A top‐of‐the‐atmosphere reflectance (TOAR) data were used to obtain the hourly PM10 in China.
Bin Chen, Zhihao Song, Jianping Huang, Peng Zhang, Xiuqing Hu, Xingying Zhang, Xiaodan Guan, Jinming Ge, Xingzhao Zhou   +8 more
wiley   +1 more source