Zhang Tinglong

First Name

Tinglong

Last Name

Zhang

Professional Title/Position

Lecturer

Highest Degree

Doctor

Affiliation

Department

Geographical Science

E-mail

dargon810614@126.com

Research area

Remote sensing of ecological environment: mainly engaged in model simulation and data assimilation of water and carbon fluxes of terrestrial vegetation; remote sensing inversion of vegetation parameters and surface evapotranspiration; and spatial-temporal heterogeneity and scale transformation of remote sensing observation surface parameters

Educational Qualifications（教育背景）

 Sep. 1999- Jul. 2003, Bachelor degree in Geographical Science, Beijing Normal University, P.R. China.

 Sep. 2003- Jul. 2006, Master degree in Physical Geography, Beijing Normal University, P.R. China.

 Sep. 2008- Jul. 2011, Doctor degree in Cartography and Geographical Information System , Beijing Normal University, P.R. China.

Professional Experience（工作经历）

 Jul. 2011-Now, Northwest A&F University(Geographical Science)

Academic Publications（科研成果）

[1] Liu Q , Zhang T* , Du M , et al. A better carbon-water flux simulation in multiple vegetation types by data assimilation, Forest Ecosystems, 2022, 9(1):15.

[2] Ju, M. C.# , Zhang, T. L#. , Li, X. K. , Li, B. Y. , & Bu, C. F*. Large scale environmental drivers of bio-crust distribution and development across a sandy desert in china. Catena, 2021, 200, 105137.

[3] LIU Qiuyu, ZHANG Tinglong*, LI Yizhe, LI Ying, BU Chongfeng*, ZHANG Qingfeng. Comparative analysis of fractional vegetation cover estimation based on multi-sensor data in a semi-arid sandy area, Chinese Geographical Science, 2019,29(1):166–180.

[4] Zhang Tinglong, Sun Rui*, Peng Changhui*, Zhou Guoyi, Wang Chunlin, Zhu Qiuan, Yang Yanzheng. Integrating a model with remote sensing observations by a data assimilation approach to improve the model simulation accuracy of carbon flux and evapotranspiration at two flux sites, SCIENCE CHINA Earth Sciences, 2016, 59(2): 337-348.

[5] Tinglong Zhang; Changhui Peng*. Charpter22: Carbon Cycle Modeling for Terrestrial Ecosystems. In: Remote Sensing of Natural Resources CRC Press, 2013.6.

Award & Academic Service（获奖及学术服务）

Reviewer of forest ecosystems Journal