Yonglou Liang

ORCID: 0000-0002-8927-8812
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About
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Research Areas
  • Air Traffic Management and Optimization
  • Aerospace and Aviation Technology
  • Solar Radiation and Photovoltaics
  • Atmospheric aerosols and clouds
  • Impact of Light on Environment and Health
  • Meteorological Phenomena and Simulations

Accurate cloud detection is critical for quantitative applications of satellite-based advanced imager observations, yet nighttime presents challenges due to the lack visible and near-infrared spectral information. Nighttime using infrared (IR)-only information needs be improved. Based on a collocated dataset from Fengyun-3D Medium Resolution Spectral Imager (FY-3D MERSI) Level 1 data CALIPSO CALIOP lidar 2 product, this study proposes novel framework leveraging Light Gradient-Boosting...

10.3390/rs17061083 article EN cc-by Remote Sensing 2025-03-19

Besides collecting and broadcasting aviation surveillance parameters, Automatic Dependent Surveillance-Broadcast (ADS-B) is also a novel technique to sense share meteorological information such as wind field with high update rate accuracy. Many ADS-B devices on aircraft can construct real-time dynamic sensor network. Although the message format reserves items especially for information, few aircrafts broadcast these at present. The current solution use trajectory captured by vector...

10.1109/access.2020.3014249 article EN cc-by IEEE Access 2020-01-01
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