Zhang Biyao, male, born in 1989. Dr. Zhang currently serves as Postdoctoral Fellow in Institute of Remote Sensing and Digital Earth of CAS (enrolled in 2019). He is mainly engaged in the research of high precision inversion of surface elements.
Education
2008.09-2012.06, Bachelor of Science in Geographic Information System, Northeast Forestry University.
2014.09-2019.06, Doctor of Engineering (successive master-doctor program), surveying and mapping, China University of Geosciences (Beijing).
Research Projects
[1] 2019-2022, General Program of National Natural Science Foundation of China: Analysis of the Temporal and Spatial Evolution Characteristics of Forest Ecosystems in Typical Red Soil Erosion Areas by Landsat Time Series.
[2] 2017-2019, Youth Program of National Natural Science Foundation of China: Study on Remote Sensing Method for Heavy Metal Stress Identification of Crops Based on Spectral-Time Feature Analysis.
[3] 2014-2017, General Program of National Natural Science Foundation of China: Dynamic Monitoring of Heavy Metal Pollution Stress in Rice Based on Crop Growth Model and Remote Sensing Data Assimilation.
[4] 2017-2018, Excellent Supervisor Project of China University of Geosciences (Beijing): Inversion of Rice Phenology by High Spatial and Temporal Resolution Remote Sensing Images Based on ESTARFM Algorithm.
Research Achievements
[1] Biyao Zhang, Xiangnan Liu, Meiling Liu, Yuanyuan Meng. Detection of rice phenological variations under heavy metal stress by means of blended Landsat and MODIS image time series. Remote Sensing, 2019, 11(1): 13.
[2] Biyao Zhang, Xiangnan Liu, Meiling Liu, Dongmin Wang. Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice. Journal of Applied Remote Sensing, 2017, 11(2): 026036.
[3] Yuanyuan Meng, Xiangnan Liu, Ling Wu, Meiling Liu, Biyao Zhang, Shuang Zhao. Spatio-temporal variation indicators for landscape structure dynamics monitoring using dense normalized difference vegetation index time series. Ecological Indicators, 2019, 107: 105607.
[4] Ming Jin, Xiangnan Liu, Biyao Zhang. Evaluating heavy-metal stress levels in rice using a theoretical model of canopy-air temperature and leaf area index based on remote sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(7): 3232-3242.
[5] Meiling Liu, Xiangnan Liu, Biyao Zhang, Chao Ding. Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing. International Journal of Applied Earth Observation and Geoinformation, 2016, 51: 91-102.