Results 31 to 40 of about 5,181 (243)

Sea Fog Identification from GOCI Images Using CNN Transfer Learning Models [PDF]

Electronics, 2020
This study proposes an approaching method of identifying sea fog by using Geostationary Ocean Color Imager (GOCI) data through applying a Convolution Neural Network Transfer Learning (CNN-TL) model. In this study, VGG19 and ResNet50, pre-trained CNN models, are used for their high identification performance.
Ho-Kun Jeon, Seungryong Kim, Jonathan Edwin, Chan-Su Yang   +3 more
openaire   +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

Improved Vegetation Profiles with GOCI Imagery Using Optimized BRDF Composite [PDF]

Journal of Sensors, 2016
The purpose of this study was to optimize a composite method for the Geostationary Ocean Color Imager (GOCI), which is the first geostationary ocean color sensor in the world. Before interpreting the sensitivity of each composite with ground measurements, we evaluated the accuracy of bidirectional reflectance distribution function (BRDF) performance by
Kim, Sang-il, Ahn, Do-Seob, Han, Kyung-Soo, Yeom, Jong-Min   +3 more
openaire   +2 more sources

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

Retrieval of Chlorophyll a Concentration Using GOCI Data in Sediment-Laden Turbid Waters of Hangzhou Bay and Adjacent Coastal Waters

Journal of Marine Science and Engineering, 2023
The Geostationary Ocean Color Imager (GOCI) provided images at hourly intervals up to 8 times per day with a spatial resolution of 500 m from 2011 to 2021.
Yixin Yang, Shuangyan He, Yanzhen Gu, Chengyue Zhu, Longhua Wang, Xiao Ma, Peiliang Li   +6 more
doaj   +1 more source

An in‐depth study of the effects of methods on the dataset selection of public development projects

IET Software, Volume 16, Issue 2, Page 146-166, April 2022., 2022
Abstract Public development projects (PDPs) and documented public development projects (DPDPs) are two types of projects that can provide valuable information on how developers and users participate in OSS projects. However, it is hard for researchers to effectively select PDPs and DPDPs due to the lack of specific project selection methods for these ...
Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xu Yang   +4 more
wiley   +1 more source

AUTOMATED MOSAICKING OF GEOSTATIONARY OCEAN COLOR IMAGER BY COMBINATION OF SPATIAL AND FREQUENCY MATCHING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
In general, image mosaicking is a useful and important processing for handling images with narrow field of view. It is being used widely for images from commercial cameras as well as from aerial and satellite cameras. For mosaicking images with geometric
H. G. Kim, J. H. Son, T. Kim
doaj   +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