Results 41 to 50 of about 868 (182)

Deriving All‐Hour Aerosol Optical Depth Over China From Automated Visibility Observations

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract All‐hour aerosol monitoring remains challenging due to limited spatiotemporal coverage of current observational systems. Here we developed a machine‐learning based framework that derives 24‐hr aerosol optical depth (AOD) from automated visibility measurements.
Zhou Yang, Hengheng Zhao, Zhaoliang Zeng, Ke Gui, Xutao Zhang, Nanxuan Shang, Yu Zheng, Lei Li, Huizheng Che   +8 more
wiley   +1 more source

Development of a Multi-Spatial Resolution Approach to the Surveillance of Active Fire Lines Using Himawari-8

Remote Sensing, 2016
Satellite remote sensing is regularly used for wildfire detection, fire severity mapping and burnt area mapping. Applications in the surveillance of wildfire using geostationary-based sensors have been limited by low spatial resolutions.
Chathura H. Wickramasinghe, Simon Jones, Karin Reinke, Luke Wallace   +3 more
doaj   +1 more source

Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract Tropical cyclones (TCs) are destructive natural hazards, and their vertical tilt, defined as the displacement between the sea surface center and cloud top center, plays a key role in storm structure and intensity changes. This study constructed a global satellite‐based tilt data set from 1,024 paired synthetic aperture radar (SAR) and infrared
Shanshan Mu, Haoyu Wang, Chong Wang, William Perrie, Xiaofeng Li   +4 more
wiley   +1 more source

CNN‐Based Retrieval of 3D Cloud Structures Solely From Geostationary Satellite Imagery

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract The cloud vertical structure (CVS) is important, yet operational CVS products depend on active observation or reanalysis fields, limiting high‐frequency monitoring. In this study, we propose a lightweight and satellite‐only model that reconstructs volumetric cloud masks from geostationary multispectral imagery.
Chi Yang, Fu Wang, Qifeng Lu, Ruixia Liu, Xiaofei Yang, Jiaxin Cheng, Yong Cao, Zhuoya Ni   +7 more
wiley   +1 more source

Generating himawari-8 time series data for meteorological application

Indonesian Journal of Electrical Engineering and Computer Science, 2023
Optical remote sensing images have been widely used for temporal monitoring. The data is acquired by sensors on satellites with better spatial resolution compared to in-situ measurements by meteorological stations. The problem with utilizing optical images is the cloud, which blocks the ground and near-ground information collected by satellites.
Ahmad Luthfi Hadiyanto, Ketut Wikantika, Ary Setijadi Prihatmanto, Nurjanna Joko Trilaksono, Dedi Irawadi   +4 more
openaire   +1 more source

Characterizing the Signals and Backgrounds in a Low Earth Orbiting Cherenkov Detector, and Background Mitigation Strategies

Journal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract Cherenkov detectors have been used in space for decades to measure Galactic Cosmic Rays (GCRs), Solar Energetic Particles (SEPs) and trapped particles. We present proof‐of‐concept GRAS/Geant4 simulations to both show that a cubic fused silica Cherenkov detector with SiPM in LEO has a good sensitivity to SEP and GCR protons as a function of cut‐
C. S. W. Davis, F. Lei, K. Ryden, C. Dyer, G. Santin, P. Jiggens, M. Heil   +6 more
wiley   +1 more source

Retrieval and validation of diurnal properties of aerosol and surface from geostationary satellite Himawari-8 using multi-pixel approach [PDF]

Atmospheric Measurement Techniques
The Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite is an imager with 16 spectral bands covering from the visible to infrared.
C. Li, O. Dubovik, J. Li, D. Fuertes, A. Lopatin, P. Litvinov, T. Lapyonok, L. Bindreiter, C. Matar, Y. Chu, W. Tan   +10 more
doaj   +1 more source

New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data

Environment International, 2020
Particulate matter with a mass concentration of particles with a diameter less than 2.5 μm (PM2.5) is a key air quality parameter. A real-time knowledge of PM2.5 is highly valuable for lowering the risk of detrimental impacts on human health.
Xing Yan, Zhou Zang, Nana Luo, Yize Jiang, Zhanqing Li   +4 more
doaj   +1 more source

Improved Understanding of Typhoon-Induced Immediate Chlorophyll-A Response Using Advanced Himawari Imager (AHI) Onboard Himawari-8

Remote Sensing, 2022
The biological response triggered by a tropical cyclone (TC) passage has attracted much attention due to its possible impacts on regional oceanic, ecological environment, and regional climate balance. However, the detailed progress of TC-induced chlorophyll-a (Chl-a) responses (TICRs) remains unclear due to the inherent limitation of observations in ...
Jia-Yi Lin, Hua Ho, Zhe-Wen Zheng
openaire   +2 more sources

Simultaneous Observations of Electron Phase Space Density Variations in the Geostationary Orbit by GK2A, GOES‐16, and GOES‐17

Journal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract This study presents simultaneous measurements of electron phase space density (PSD) gradients in geostationary orbit using data from GK2A, GOES‐16, and GOES‐17. By leveraging a three‐satellite configuration, we provide statistical results of PSD gradient estimation in invariant coordinates.
N.‐Y. Lee, J. Seon, G. W. Na, C.‐H. Lee, W.‐H. Seol, K.‐C. Kim   +5 more
wiley   +1 more source