Seokhyeon Kim

Seokhyeon Kim

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

Evaluation of satellite data

Goal

This project aims to evaluate various satellite data for further improvement and/or applications.

Papers

  • Kim S., Dong J., Sharma A. (2021). A triple collocation-based comparison of three L-band soil moisture datasets, SMAP, SMOS-IC, and SMOS, over varied climates and land covers, Frontiers in Water, 3, 64.
  • Kim, S., Anabalon, A., & Sharma, A. (2021). An Assessment of Concurrency in Evapotranspiration Trends Across Multiple Global Datasets. ,Journal of Hydrometeorology, 22(1), 231-244.
  • Zhang, R., Kim, S., Sharma, A., & Lakshmi, V. (2021). Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability. Remote Sensing of Environment, 252, 112126.
  • Kim, S., Eghdamirad, S., Sharma, A., & Kim, J. H. (2020). Quantification of uncertainty in projections of extreme daily precipitation. Earth and Space Science, 7(8), e2019EA001052.
  • Kim, S., Zhang, R., Pham, H., & Sharma, A. (2019). A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation. Remote Sensing in Earth Systems Sciences, 2(4), 225-246.
  • Zhang, R., Kim, S., & Sharma, A. (2019). A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes. Remote Sensing of Environment, 223, 82-94.
  • Kim, S., Liu, Y. Y., Johnson, F. M., Parinussa, R. M., & Sharma, A. (2015). A global comparison of alternate AMSR2 soil moisture products: Why do they differ?. Remote Sensing of Environment, 161, 43-62.