Results 21 to 30 of about 803,175 (272)

Linear Contrails Detection, Tracking and Matching with Aircraft Using Geostationary Satellite and Air Traffic Data

Aerospace, 2023
Climate impact models of the non-CO2 emissions of aviation are still subject to significant uncertainties. Condensation trails, or contrails, are one of these non-CO2 effects. In order to validate the contrail simulation models, a dataset of observations
Rémi Chevallier, M. Shapiro, Zebediah Engberg, M. Soler, D. Delahaye   +4 more
semanticscholar   +1 more source

A new benchmark for surface radiation products over the East Asia-Pacific region retrieved from the Himawari-8/AHI next-generation geostationary satellite

Bulletin of The American Meteorological Society - (BAMS), 2021
Surface downward radiation (SDR), including shortwave downward radiation (SWDR) and longwave downward radiation (LWDR), is of great importance to energy and climate studies.
H. Letu, T. Nakajima, Tianxing Wang, Huazhe Shang, Run Ma, Kun Yang, A. Baran, J. Riedi, H. Ishimoto, M. Yoshida, C. Shi, P. Khatri, Yihan Du, Liangfu Chen, Jiancheng Shi   +14 more
semanticscholar   +1 more source

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency

GIScience & Remote Sensing, 2022
Although remote sensing of active fires is well-researched, their early detection has received less attention. Additionally, simple threshold approaches based on contextual statistical analysis suffer from generalization problems.
Yoojin Kang, E. Jang, J. Im, C. Kwon
semanticscholar   +1 more source

Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements

Remote Sensing, 2022
Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus, providing aerosol parameters with high temporal resolution, which contributes to the air quality monitoring.
Xingfeng Chen, Limin Zhao, Fengjie Zheng, Jiaguo Li, Lei Li, Haonan Ding, Kainan Zhang, Shumin Liu, Donghui Li, G. Leeuw   +9 more
semanticscholar   +1 more source

A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery

Remote Sensing, 2022
A novel tropical cyclone (TC) size estimation model (TC-SEM) in the western North Pacific was developed based on a convolutional neural network (CNN) using geostationary satellite infrared (IR) images.
You-Hyun Baek, I. Moon, J. Im, Juhyun Lee   +3 more
semanticscholar   +1 more source

Deep Learning-Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations

Remote Sensing, 2021
Ground-based weather radar data plays an essential role in monitoring severe convective weather. The detection of such weather systems in time is critical for saving people’s lives and property.
Fenglin Sun, Bo Li, Min Min, Danyu Qin
semanticscholar   +1 more source

Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation

Remote Sensing, 2021
Third-generation geostationary meteorological satellites (GEOs), such as Himawari-8/9 Advanced Himawari Imager (AHI), Geostationary Operational Environmental Satellites (GOES)-R Series Advanced Baseline Imager (ABI), and Meteosat Third Generation (MTG ...
A. Higuchi
semanticscholar   +1 more source

The Diurnal Dynamics of Gross Primary Productivity Using Observations From the Advanced Baseline Imager on the Geostationary Operational Environmental Satellite‐R Series at an Oak Savanna Ecosystem

Journal of Geophysical Research: Biogeosciences, 2022
Gross primary productivity (GPP) is the largest flux in the global carbon cycle and satellite‐based GPP estimates have long been used to study the trends and interannual variability of GPP.
A. M. Khan, P. Stoy, J. Joiner, D. Baldocchi, J. Verfaillie, M. Chen, J. Otkin   +6 more
semanticscholar   +1 more source

Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data. [PDF]

Sci Rep, 2018
Analysis of cloud cover and its diurnal variation over the Tibetan Plateau (TP) is highly reliant on satellite data; however, the accuracy of cloud detection from both polar-orbiting and geostationary satellites over this area remains unclear.
Shang H, Letu H, Nakajima TY, Wang Z, Ma R, Wang T, Lei Y, Ji D, Li S, Shi J.   +9 more
europepmc   +2 more sources

Volcanic Ash Retrieval Using a New Geostationary Satellite [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
The paper presents currently developing method of volcanic ash detection and retrieval for the Geostationary Korea Multi-Purpose Satellite (GK-2A).
K. H. Lee, K. T. Lee
doaj   +1 more source