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25

Minha Choi, William P. Kustas, Ram L. Ray2012

Evapotranspiration models of different complexity for multiple land cover types. Hydrological Processes

24

Minha Choi, Yoomi Hur2012

A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment

23

Yong Cheol Kim, Minha Choi, Yong Sik Cho2012

Tsunami hazard area predicted by probability distribution tendency. Journal of Coastal Research

22

Yong Jung, Minha Choi2012

Survey-Based Approach for Hydrological Vulnerability Indicators Due to Climate Change: Case Study of Small-Scale Rivers. Journal of the American Water Resources Association

21

Lynn Seo, Tae Woong Kim, Minha Choi, Hyun Han Kwon2012

Constructing rainfall depth-frequency curves considering a linear trend in rainfall observations. Stochastic Environmental Research and Risk Assessment

20

Hyunwoo Kim, Devendera M. Amatya, Stephen W. Broome, Dean L. Hesterberg, Minha Choi2012

Sensitivity analysis of the DRAINWAT model applied to an agricultural watershed in the lower coastal plain, North Carolina, USA. Water and Environment Journal

19

Minha Choi2012

Evaluation of multiple surface soil moisture for Korean regional flux monitoring network sites: Advanced Microwave Scanning Radiometer E, land surface model, and ground measurements. Hydrological Processes

18

Hyun Woo Kim, Kyotaek Hwang, Qiaozhen Mu, Seung Oh Lee, Minha Choi2012

Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia. KSCE Journal of Civil Engineering

17

Minha Choi, Tae Woong Kim, Minkyu Park, Seong Joon Kim2011

Evapotranspiration estimation using the Landsat-5 Thematic Mapper image over the Gyungan watershed in Korea. International Journal of Remote Sensing

16

Minha Choi, Tae Woong Kim, William P. Kustas2011

Reliable estimation of evapotranspiration on agricultural fields predicted by the Priestley-Taylor model using soil moisture data from ground and remote sensing observations compared with the Common Land Model. International Journal of Remote Sensing