张弼尧，男，1989年，博士。中国科学院遥感与数字地球研究所，在站博士后（2019年入站），主要从事遥感时间序列处理与病虫害监测。

教育经历

2008.09-2012.06 (本)东北林业大学地理信息系统；

2014.09-2015.06 (硕)中国地质大学（北京）测绘科学与技术（导师刘湘南教授）；

2015.09-2018.06 (博)中国地质大学（北京）测绘科学与技术（导师刘湘南教授）；

参加科研项目

1.国家自然科学基金项目：基于作物生长模型和遥感数据同化的大尺度水稻重金属污染胁迫动态监测；

2.国家自然科学基金项目： 基于谱-时特征分析的农作物重金属胁迫遥感识别方法研究；

3.中国地质大学（北京）优秀导师基金项目：基于ESTARFM算法融合高时空分辨率遥感影像监测水稻物候。

研究成果

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, ShuangZhao. Spatio-temporal variation indicators for landscape structure dynamics monitoring using dense normalized difference vegetation index time series. Ecological Indicators. 107, 105607 (2019).

4.Ling Wu, Zhaoliang Li, Xiangnan Liu, Lihong Zhu, Yibo Tang, Biyao Zhang, Boliang Xu, Meiling Liu, Yuanyuan Meng, Boyuan Liu. Multi-Type Forest Change Detection Using BFAST and Monthly Landsat Time Series for Monitoring Spatiotemporal Dynamics of Forests in Subtropical Wetland. Remote Sensing. (2020).

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.

6.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.