Seokhyeon Kim

Seokhyeon Kim

Assistant Professor at CVEN@Kyung Hee University, Republic of Korea, expert in hydrology, water resources and satellite remote sensing

Application of satellite data

Goal

This project aims to apply and analyze satellite (not limited to) data.

Papers

  • Kim, S., Ajami, H., & Sharma, A. (2020). Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia. Remote Sensing, 12(18), Frontiers in Water, 3, 3051.
  • Moradi, S., Agostino, A., Gandomkar, Z., Kim, S., Hamilton, L., Sharma, A., Henderson, R. and Leslie, G., 2020. Quantifying natural organic matter concentration in water from climatological parameters using different machine learning algorithms. h2oj, 3(1), 328-342.
  • Magan, B., Kim, S., Wasko, C., Barbero, R., Moron, V., Nathan, R., & Sharma, A. (2020). Impact of atmospheric circulation on the rainfall-temperature relationship in Australia. Environmental Research Letters, 15(9), 094098.
  • Khan, U., Ajami, H., Tuteja, N. K., Sharma, A., & Kim, S. (2018). Catchment scale simulations of soil moisture dynamics using an equivalent cross-section based hydrological modelling approach. Journal of Hydrology, 564, 944-966.
  • Kim, S., Paik, K., Johnson, F. M., & Sharma, A. (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, 11(2), 375-387.