Jiale Jiang

Postdoctoral Fellows

Post-Doctoral Fellow, Environmental Sciences and Engineering

Current

Biography

Dr. Jiang received her PhD degree in the field of surveying and mapping from the China University of Geosciences in Beijing, China. During her PhD, she spent a year at the University College London, UK. She then spent 2 years, as a Postdoctoral Fellow at the Nanjing Agricultural University, focusing on spatiotemporal image fusion and crop growth monitoring. She joined KAUST in September 2019.

Research Interest

Dr. Jiang’s main research interests aim to monitor crop growth at local to regional scale. By taking advantage of multi-sensor remote sensing observations (satellites and UAVs), her studies focus on the development of new spatio-temporal image fusion models and integrated methods to estimate crop growth status at high spatio-temporal resolutions.

Selected Publications

For a full listing of publications, please refer to my Google Scholar page.

  • Jiang, J., Zhang, Q., Yao, X., Tian, Y., Zhu, Y., Cao, W., & Cheng, T. (2020). HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4607-4626; https://doi.org/10.1109/JSTARS.2020.3016135.
  • Jiang, J., Cai, W., Zheng, H., Cheng, T., Tian, Y., Zhu, Y., Ehsani, R., Hu, Y., Niu, Q., Gui, L., & Yao, X. (2019). Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat. Remote Sensing, 11 (22), 2667; https://doi.org/10.3390/rs11222667.
  • Jiang, J., Zheng, H., Ji, X., Cheng, T., Tian, Y., Zhu, Y., Cao, W., Ehsani, R., & Yao, X. (2019). Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring. Sensors, 19(3), 747; https://doi.org/10.3390/s19030747.
  • Jiang, J., Ji, X., Yao, X., Tian, Y., Zhu, Y., Cao, W., & Cheng, T. (2018). Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index. Remote Sensing, 10, 221; https://doi.org/10.3390/rs10020221.
  • Jiang, J., Liu, X., Liu, C., Wu, L., Xia, X., Liu, M., & Du, Z. (2015). Analyzing the Spatial Scaling Bias of Rice Leaf Area Index from Hyperspectral Data Using Wavelet–Fractal Technique. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 3068-3080; https://doi.org/10.1109/JSTARS.2014.2346251.

Education

  • Ph.D., Surveying and Mapping, China University of Geosciences, Beijing, China, 2017
  • B.Sc., Geographic Information System, China University of Geosciences, Beijing, China, 2012

Professional Profile

  • 2019-Present: Postdoctoral fellow, KAUST, Thuwal, Saudi Arabia
  • 2017-2019: Postdoctoral fellow, Nanjing Agricultural University, Nanjing, China

Awards

  • 2016: UCL-CSC Research Students Visit Award, University College London, UK
  • 2014: National Scholarship for doctoral students, China
  • 2014: Postgraduate Science and Technology Innovation Award, China University of Geosciences, China
  • 2012: Outstanding Graduates, China University of Geosciences, China
  • 2012: Outstanding Diploma Theses, China University of Geosciences, China
  • 2010: National Scholarship for undergraduates, China

Research Interests Keywords

Agricultural monitoring High-resolution remote sensing Data fusion Scale transformation