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Dr. Liangyun Liu

Aerospace Information Research Institute, Chinese Academy of Sciences

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Prof. Dr. Liangyun Liu graduated from Xi'an Institute of Optical Precision and Mechanical Research, Chinese Academy of Sciences, with a PhD degree in optics in 2000. He was a postdoctoral fellow at the Institute of Remote Sensing Application, Chinese Academy of Sciences (2001–2002), an associate researcher and a researcher at the Beijing Academy of Agricultural and Forestry Sciences (2003-2006), and from 2008 to present, he has been a researcher, a PhD director, and a director of the room at the Center for Earth Observation/Institute of Remote Sensing and Earth Science of the Chinese Academy of Sciences (CEOS/IRSES). He was awarded the Outstanding Scientific and Technological Achievement Award of CAS, the Second Prize of National Scientific and Technological Progress, and the First Prize of Beijing Science and Technology Award. His research interests include vegetation indices and remote sensing of vegetation.

Research Keywords & Expertise

multitemporal analysis
hyperspectral remote s...
multispectral
Chlorophyll Fluorescen...
Land Cover

Short Biography

Prof. Dr. Liangyun Liu graduated from Xi'an Institute of Optical Precision and Mechanical Research, Chinese Academy of Sciences, with a PhD degree in optics in 2000. He was a postdoctoral fellow at the Institute of Remote Sensing Application, Chinese Academy of Sciences (2001–2002), an associate researcher and a researcher at the Beijing Academy of Agricultural and Forestry Sciences (2003-2006), and from 2008 to present, he has been a researcher, a PhD director, and a director of the room at the Center for Earth Observation/Institute of Remote Sensing and Earth Science of the Chinese Academy of Sciences (CEOS/IRSES). He was awarded the Outstanding Scientific and Technological Achievement Award of CAS, the Second Prize of National Scientific and Technological Progress, and the First Prize of Beijing Science and Technology Award. His research interests include vegetation indices and remote sensing of vegetation.