Deqin FAN
Associate Professor
Email：kinly129@163.com
Research Interests
(1) Remote sensing data processing
(2) Vegetation and ecological remote sensing
(3) Sustainable development
Education/Work Background
2003.09-2007.07, Geographical Information System, Northeast Forestry University, Bachelor;
2008.09-2011.07, Photogrammetry and Remote Sensing, China University of Mining & Technology, Beijing, Master；
2011.09-2014.07, Cartography and Geographic Information System, Beijing Normal University, PhD；
2014.12-2017.06, Surveying and Mapping, China University of Mining & Technology, Beijing, Postdoc；
2017.06-2022.06, Surveying and Mapping, China University of Mining & Technology, Beijing, Lecturer;
2021.09-2022.06, Surveying and Mapping, Peking University, Visitor Scholar；
2022.07-Now, College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Associate Professor.
Teaching Courses
Digital Topographic Survey
Remote sensing of Energy, Resource and Environment
Key Research Funding
[1]. Deqin Fan. Change in the green-up dates for typical steppe in Inner Mongolia and its climate-driven mechanism, National Natural Science Foundation of China Youth Fund (No. 41601456), 2017-2019, PI.
[2]. Research on Spatial Monitoring Methods of SDGs for 2030 Agenda, National Natural Science Foundation of China (No. 41930650), 2020-2024, Participant.
Honors
2022.05, I won the prize of youth teaching quality award in China University of Mining & Technology, Beijing.
Selected Publications
1.Deqin Fan, Xuesheng Zhao, Wenquan Zhu et al. Species differences in the green-up date of typical vegetation in Inner Mongolia and climate-driven mechanism based on process-based phenology models, Science of the Total Environment, 2022, 834:155260.
2.Fan, Deqin; Zhao, Xuesheng; Zhu, Wenquan; Sun, Wenbin; Qiu, Yue ; An improved phenology model for monitoring green-up date variation in Leymus chinensis steppe in Inner Mongolia during 1962-2017, Agricultural and Forest Meteorology, 2020, 291(108091).
3.Qiu Yue; Zhao, Xuesheng; Fan, Deqin; Li, Songnian and Yijing Zhao. Disaggregating population data for assessing progress of SDGs: methods and applications, 2022, 15(1): 2–29.
4.Fan Deqin, Zhao Xuesheng, Zheng Zhoutao, Phenology of Leymus Chinensis steppe in Inner Mongolia and its response to climate changes, Geography and Geo-information Science, 2016, 32(6):81-86.
5.Zhoutao Zheng, Wenquan Zhu, Guangsheng Chen, Nan Jiang, Deqin Fan, Donghai Zhang. Continuous but diverse advancement of spring-summer phenology in response to climate warming across the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology, 2016, 223:194-202.
6.Fan D Q, Zhu W Q, Pan Y Z, Jiang N and Zheng Z T. Identifying an optimal method for estimating green-up date of Kobresia pygmaea alpine meadow in Qinghai-Tibetan Plateau, Journal of Remote Sensing, 2014, 18(5):1117 -1127.
7.Fan D Q, Zhao X S, Zhu W Q, et al. Review of influencing factors of accuracy of plant phenology monitoring based on remote sensing data, Progress in Geography, 2016, 35(3): 304-319.
8.Fan D Q, Zhu W Q, Pan Y Z and Jiang N. Noise detection for NDVI time series based on Dixon’s test and application in data reconstruction. Journal of Remote Sensing, 2013, 17(5):1158-1174.
9.Zhao Xuesheng, Fan Deqin,Wang Jiaojiao, et al. Seamless expression of the global multi-resolution DEMs based on degenerate quadtree grids, Acta Geodaetica et Cartographica Sinica, 2012, 41(6):918-925.
10.Fan Deqin, Zhao Xuesheng, Zhu Wenquan, Sun Wenbin. Monitoring on phenology changes of grassland vegetation and research on the climate-driven mechanism, Beijing Institute of Technology Press, 2021.