Results 21 to 30 of about 793 (204)

Assessment of Normalized Water-Leaving Radiance Derived from GOCI Using AERONET-OC Data

Remote Sensing, 2021
The geostationary ocean color imager (GOCI), as the world’s first operational geostationary ocean color sensor, is aiming at monitoring short-term and small-scale changes of waters over the northwestern Pacific Ocean.
Mingjun He, Shuangyan He, Xiaodong Zhang, Feng Zhou, Peiliang Li   +4 more
doaj   +1 more source

Algorithm to estimate daily PAR at the ocean surface from GOCI data: description and evaluation

Frontiers in Marine Science, 2022
Photosynthetically available radiation (PAR) reaching the ocean surface controls phytoplankton growth, primary productivity, and evolution within marine ecosystems. Therefore, accurate daily PAR estimates are important for a broad range of marine biology
Deuk Jae Hwang, Deuk Jae Hwang, Robert Frouin, Jing Tan, Jae-Hyun Ahn, Jong-Kuk Choi, Jong-Kuk Choi, Jeong-Eon Moon, Joo-Hyung Ryu   +8 more
doaj   +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

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

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

Spread of Fukushima‐derived radiocesium over the coastal ocean in response to typhoon‐induced flooding in September 2011

Limnology and Oceanography, Volume 67, Issue 5, Page 1184-1193, May 2022., 2022
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, Seiya Nagao, Yujiro Kitade, Masato Niki, Takaaki Katsumata, Toru Miyama, Hiroshi Yoshinari   +6 more
wiley   +1 more source

Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects

Earth's Future, Volume 10, Issue 2, February 2022., 2022
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, Shuisen Chen, Rao Fu, Dan Li, Hao Jiang, Chongyang Wang, Yongshi Peng, Kai Jia, Brendan J. Hicks   +8 more
wiley   +1 more source

New approach to monitor transboundary particulate pollution over Northeast Asia [PDF]

Atmospheric Chemistry and Physics, 2014
A new approach to more accurately monitor and evaluate transboundary particulate matter (PM) pollution is introduced based on aerosol optical products from Korea's Geostationary Ocean Color Imager (GOCI).
M. E. Park, C. H. Song, R. S. Park, J. Lee, J. Kim, S. Lee, J.-H. Woo, G. R. Carmichael, T. F. Eck, B. N. Holben, S.-S. Lee, C. K. Song, Y. D. Hong   +12 more
doaj   +1 more source