Ding Chao, male, born in 1989, PhD. Ding currently serves as Postdoctoral Fellow in Institute of Remote Sensing and Digital Earth of CAS (Enrolled in 2018). His major research area is the remote sensing time series processing and ecological applications.

Education

2015.09-2018.06, Doctor of Engineering in Surveying and Mapping, China University of Geosciences (Beijing). Supervisor: Prof. Liu Xiangnan.  

2012.09-2015.06, Master of Engineering in Geomatics Engineering, China University of Geosciences (Beijing). Supervisor: Prof. Liu Xiangnan.  

2008.09-2012.06, Bachelor of Engineering in Geographic Information System, China University of Geosciences (Beijing). 

Research Projects

[1] 2014-2017, Project participant. 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.

[2] 2017-2019, Project participant. 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.

Publications 

[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)