丁超，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（2018年入站），主要从事遥感时间序列处理与生态应用。

教育经历

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

2012.09-2015.06   中国地质大学（北京） 测绘工程  硕士  导师刘湘南；

2008.09-2012.06  中国地质大学（北京） 地理信息系统  学士；

参加科研项目

[1] 国家自然科学基金面上项目，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, 2014-2017；

[2] 国家自然科学基金青年科学基金项目，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, 2017-2019

研究成果

主要论著

[1] Chao Ding, Xiangnan Liu, Fang Huang, Yao Li, Xinyu Zou. Onset of drying and dormancy in relation to water dynamics of semi-arid grasslands from MODIS NDWI. Agricultural and Forest Meteorology, 2017, 234, 22-30. (SCI, IF: 4.039)

[2] Chao Ding, Xiangnan Liu, Fang Huang. Temporal interpolation of satellite-derived leaf area index time series by introducing spatial-temporal constraints for heterogeneous grasslands. Remote Sensing, 2017, 9(9), 968. (SCI, IF: 3.406)

[3] Chao Ding, Xuqing Li, Xiangnan Liu, Liting Zhao. Quartzose-Mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data. Ore Geology Reviews. 2015, 66: 283-292. (SCI, IF: 3.993)

[4] Chao Ding, Xiangnan Liu, Wencan Liu, Meiling Liu, Yao Li. Mafic-ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function. Ore Geology Reviews. 2014, 60: 161-173. (SCI, IF: 3.993)

[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 Observations & Geoinformation, 2016, 51, 91-102. (SCI, IF=4.003)

[6] Feng Liu, Xiangnan Liu, Chao Ding, Ling Wu. The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model. Field Crops Research, 2015, 183, 225-234. (SCI, IF: 3.127)

[7] Feng Liu, Xiangnan Liu, Liting Zhao, Chao Ding, Jiale Jiang, Ling Wu. The dynamic assessment model for monitoring cadmium stress levels in rice based on the assimilation of remote sensing and the WOFOST model. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2015, 8(3), 1330-1338. (SCI, IF: 2.777)

[8] Meiling Liu, Xiangnan Liu, Jin Li, Chao Ding, Jiale Jiang. Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal radarsat-2 and optical imagery using random forest algorithm. International Journal of Applied Earth Observations & Geoinformation, 2014, 33(1), 192-202. (SCI)