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Showing results 1 to 7 of 7

ASCAT2SMAP: Image-to-Image Translation to Obtain L-Band-Like Soil Moisture From C-Band Satellite Data File

Lee, Jaese , Jung, Sihun , Im, Jungho

Article Issue Date2024-07 View149
Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations File

Jang, Eunna , Han, Daehyeon , Im, Jungho , Sung, Taejun , Kim, Young Jun

Article Issue Date2024-08 View166
Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning File File

Sung, Taejun , Sim, Seongmun , Jang, Eunna , Im, Jungho

Article Issue Date2022-10 View166
Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning File File

Sung, Taejun , Kim, So-Hyun , Sim, Seongmun , Han, Daehyeon , Jang, Eunna , Im, Jungho

Article Issue Date2025-03 View97
Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning File

Jang, Eunna , Kim, Young Jun , Im, Jungho , Park, Young-Gyu , Sung, Taejun

Article Issue Date2022-05 View188
Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning File

Lee, Jaese , Park, Sumin , Im, Jungho , Yoo, Cheolhee , Seo, Eunkyo

Article Issue Date2022-06 View157
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches File

Jang, Eunna , Kim, Young Jun , Im, Jungho , Park, Young-Gyu

Article Issue Date2021-01 View109
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