Associate Research Professors
LIU Yang
Source： | Date：2016-10-10 | 【Print】 【Close】
Yang Liu, associate research professor of State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Education
From September 2006 to June 2011: Studied for Doctor’s degree in Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
From September 2002 to June 2006: Studied for bachelor’s degree in East China Normal University
Work Experience
Since December 2016: worked as an associate research professor at Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
From November 2013 to November 2016: worked as a assistant research professor at Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
From July 2011 to November 2013: Worked as a postdoctoral fellow at Beijing Normal University
Areas of Specialization
Research field: Quantitative Remote Sensing
Research interests: Remote Sensing Products and Analysis
Major Scientific Research Achievements
She focuses on retrieval algorithm, products and analysis of optical remote sensing for geoscience applications. She established an algorithm for retrieval of consistent leaf area index from multiple sensors, and generated a global highly consistent long-term leaf area index product (GLOBMAP LAI, 1981-). The leaf area index of overstory and understory vegetation were separated for global coniferous forests and deciduous broadleaf forests based on multi-angle remote sensing observations. She has established a dust detection algorithm based on satellite thermal infrared measurements, with elimination of effects of underlying background. Additionally, she also works in remote sensing application, such as dust climatology analysis and vegetation destruction and restoration evaluation.
Research Grants
1. National Natural Science Foundation Youth Fund project " Retrieval of Dust Optical Properties from Satellite Thermal Infrared Measurements" (No. 41301354), Principal Investigator, 2014-2016
2. National key research and development plan project "Development of Global Forest Disturbance Datasets and Evaluation Its Effects on Global Change the Past 100 Years" sub-project "Forest Disturbance Remote Sensing Detection Algorithm and Product ", Project Participants, 2019-2024
3. National key research and development plan project "Research on high-resolution global carbon assimilation system based on multi-source satellite remote sensing" sub-project "Remote sensing retrieval and product generation of key parameters of the global carbon cycle", Project Participants, 2016-2021
4. The Young Talent Training Fund Project of the State Key Laboratory of Resources and Environmental Information Systems, “Remote Sensing Retrieval of Global Forest Leaf Area Index with Consideration of Vegetation Structure”, Principal Investigator, 2015-2017
5. 973 Project “Evolution Mechanism and Optimization Calculation of Global Carbon Sources and Sinks of Terrestrial Ecosystems” Subproject “Global Leaf Area Index Retrieval and Products Generation”, Project Participants, 2010-2014
Representative publications
(1) Yang Liu, Ronggao Liu, Jan Pisek, and Jing M. Chen (2017), Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data, Biogeosciences, 14: 1093-1110.
(2) Yang Liu, and Ronggao Liu (2015), Climatology of dust storms in northern China and Mongolia: Results from MODIS observations during 2000–2010, Journal of Geographical Sciences, 25(11): 1298-1306.
(3) Yang Liu, Ronggao Liu, and Xiao Cheng (2013), Dust detection over desert surfaces with thermal infrared bands using dynamic reference brightness temperature differences, Journal of Geophysical Research-Atmospheres, 118, 8566-8584, doi:10.1002/jgrd.50647.
(4) Yang Liu, Ronggao Liu, and Jing M. Chen (2012), Retrospective retrieval of long-term consistent global Leaf Area Index (1981-2011) from combined AVHRR and MODIS data, Journal of Geophysical Research-Biogeosciences, 117, G04003, doi:10.1029/2012JG002084.
(5) Yang Liu, Ronggao Liu, Jing M. Chen, and Weimin Ju (2012), Expanding MISR LAI products to high temporal resolution with MODIS observations, IEEE Transaction on Geoscience and Remote Sensing, 50(10): 3915-3927.
(6) Yang Liu, and Ronggao Liu (2012), Evaluation of the spatial and temporal uncertainties distribution of daily-integrated shortwave downward radiation estimated from polar-orbiting satellite observation, Journal of Atmospheric and Oceanic Technology, 29: 1481-1491.
(7) Yang Liu, Ronggao Liu, and Quansheng Ge (2010), Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data, Natural Hazards, 54: 851-862.
Graduate enrollment and training
Admissions Major: Cartography and Geographic Information System
Admission direction: Quantitative remote sensing
Welcome students with relevant backgrounds in remote sensing, geography, GIS, ecology, etc. to apply!
Email：liuyang@igsnrr.ac.cn
