Zhang Dianjun
School
School of Marine Science and Technology
Professional Title
Lecturer
Administrative Appointments
None
Contact Information
13426059835
022-67407225
zhangdianjun123@163.com
No. 92 Weijin Road, Nankai District, Tianjin, 300072
Brief Introduction
Dianjun Zhang received the B.S. and M.S. degrees
in geographical information system from Ludong
and Beijing Forestry University, China, in 2008 and
2011, respectively. He received the Ph.D.
degree at the Institute of Geographic Sciences and
Natural Resources Research, Chinese Academy of
Sciences, Beijing, China in 2015.
His research interests include thermal infrared
remote sensing and retrieval of surface soil moisture
from satellite data.
Education Background
- Ph.D. degree| Chinese Academy of Sciences| GIS| 2015
- M.S. degrees| Beijing Forestry University| GIS| 2011
- Bachelor| Lu Dong University| GIS| 2008
Research Interests
- Marine remote sensing; Surface energy estimation
Positions & Employments
-
2015.10-2017.5
The Center for Remote Sensing | Tianjin University | None | Associate researcher
Academic Achievements
- Papers
- [1] Dianjun Zhang, Zhao-Liang Li,*, Ronglin Tang, Bo-Hui Tana, Hua Wu. A remote sensing technique to determine the soil moisture saturation index, IEEE International Geoscience and Remote Sensing Symposium (2014). (EI)
- [2] Dianjun Zhang, Guoqing Zhou*. Uncertainties analysis for normalized soil moisture model based on the combination of optical and thermal infrared data. IEEE International Geoscience and Remote Sensing Symposium (2016). (EI)
-
- [3] Dianjun Zhang, Guoqing Zhou*. Effects of vegetation types on soil moisture estimation from the normalized land surface temperature versus vegetation index space. International Conference on Intelligent Earth Observing and Applications (IEOA 2015), 1230-1234. (EI)
- [4] Guoqing Zhou*, Rongting Zhang, Dianjun Zhang. Manifold Learning Co-Location Decision Tree for Remotely Sensed Imagery Classification. Remote Sensing, 2016, 8(10): 855. (SCI)
- [5] Dianjun Zhang, Guoqing Zhou*. Estimation of soil moisture from optical and thermal remote sensing: a review. Sensors, 2016, 16(8): 1308. (SCI).
- [6] Zhang Dianjun, Tang Ronglin, Tang Bo-Hui, Wu Hua, Li Zhao-Liang and Shao Kun. Validation of a practical normalized soil moisture model with in situ measurements in humid and semiarid regions. International Journal of Remote Sensing, 2015, 3(2): 1042-1053.(SCI).
- [7] Zhang Dianjun, Tang Ronglin, Tang Bo-Hui, Wu Hua, Li Zhao-Liang. A Simple Method for Soil Moisture Determination from LST–VI Feature Space using Non-linear Interpolation based on Thermal Infrared Remotely Sensed Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014,8(2): 638 - 648. (SCI)
- [8] Zhang Dianjun, Tang Ronglin, Zhao Wei, et al. Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature, Remote Sensing, 2014, 6(4): 3170-3187.(SCI)