學術論文

  • Analyzing the sources and variations of nighttime lights in Hong Kong from VIIRS monthly data
    Author(s): Shengjie Liu, Chu Wing So, Chun Shing Jason Pun
    Publication: Remote Sensing (2025)
    DOI: 10.3390/rs17081447
    https://www.mdpi.com/2072-4292/17/8/1447
  • Using time-series satellite imagery to detect artificial light at night: the case of Luojia-1 and International Space Station
    Author(s): Shengjie Liu, Chu Wing So, Chun Shing Jason Pun
    Publication: 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    DOI: 10.1109/IGARSS53475.2024.10641503
    https://ieeexplore.ieee.org/abstract/document/10641503
  • Using multi-source data to capture the impacts of Earth Hour 2021: a case study of Hong Kong
    Author(s): Shengjie Liu, Chu Wing So, Xiang Feng Foo, Chun Shing Jason Pun
    Publication: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    DOI: 10.1109/IGARSS52108.2023.10283136
    https://ieeexplore.ieee.org/abstract/document/10283136
  • Using high-resolution nighttime remote sensing data to identify light sources in Hong Kong
    Author(s): Shengjie Liu, Chu Wing So, Hung Chak Ho, Qian Shi, Chun Shing Jason Pun
    Publication: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    DOI: 10.1109/IGARSS52108.2023.10283198
    https://ieeexplore.ieee.org/abstract/document/10283198
  • Multiple angle observations would benefit visible band remote sensing using night lights
    Author(s): Christopher C. M. Kyba, ..., Chun Shing Jason Pun, Chu Wing So, Shengjie Liu, et. al.
    Publication: Journal of Geophysical Research: Atmospheres (2022)
    DOI: 10.1029/2021JD036382
    https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JD036382
  • Analyzing long-term artificial light at night using VIIRS monthly product with land use data: preliminary result of Hong Kong
    Author(s): Shengjie Liu, Chu Wing So, Chun Shing Jason Pun
    Publication: 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    DOI: 10.1109/IGARSS47720.2021.9553915
    https://ieeexplore.ieee.org/document/9553915