2014 – Dec 2017
Seokhyeon came from Korea University to work on a ARC-DP satellite remote sensing flood prediction project.He was supervised by Fiona, Yi and Ashish with assistance from Robert Parinussa who was a postdoc on the project. His PhD was a groundbreaking contribution to the state of knowledge on satellite based flood forecasts, each paper presenting a new method that had not been thought out before.
The papers till date are:
- Kim, S., K. Balakrishnan, Y. Liu, F. Johnson, and A. Sharma (2017), Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products, IEEE Geoscience and Remote Sensing Letters, 14(9), 1604-1608, doi:10.1109/LGRS.2017.2725945.
- Kim, S., Y. Liu, F. M. Johnson, R. M. Parinussa, and A. Sharma (2015), A global comparison of alternate AMSR2 soil moisture products: Why do they differ?, Remote Sens Environ, 161, 43-62, doi:10.1016/j.rse.2015.02.002.
- Kim, S., R. M. Parinussa, Y. Y. Liu, F. M. Johnson, and A. Sharma (2015), A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation, Geophysical Research Letters, 42(16), 6662-6670, doi:10.1002/2015GL064981.
- Kim, S., R. M. Parinussa, Y. Y. Liu, F. M. Johnson, and A. Sharma (2016), Merging Alternate Remotely-Sensed Soil Moisture Retrievals Using a Non-Static Model Combination Approach, Remote Sensing, 8(6).
- Kim, S., K. Paik, F. M. Johnson, and A. Sharma (2018), Building a flood warning framework for ungauged locations using low resolution, open access remotely sensed surface soil moisture, precipitation, soil and topographic information IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, in press (accepted 23/01/2018).