Real-Time Retrieval of Daily Soil Moisture Using IMERG and GK2A Satellite Images with NWP and Topographic Data: A Machine Learning Approach for South Korea

Autor: Soo-Jin Lee, Eunha Sohn, Mija Kim, Ki-Hong Park, Kyungwon Park, Yangwon Lee

Publikováno v: Remote Sensing, Vol 15, Iss 17, p 4168 (2023)

Soil moisture (SM) is an indicator of the moisture status of the land surface, which is useful for monitoring extreme weather events. Representative global SM datasets include the National Aeronautics and Space Administration (NASA) Soil Moisture Act

Externí odkaz: https://doaj.org/article/321ed7a19c4747e68c8651672e38dfa2

Developing Tailored Agro-met Predictions for Target Cropping Systems in Vanuatu: tailOred System of Climate services for AgRiculutre (OSCAR)

Autor: Jong Ahn Chun, Sugyeong Park, Imgook Jung, Seongkyu Lee, Kyungwon Park

Vanuatu as one of Small Island Developing States (SIDS) in the Pacific region is one of the most vulnerable countries to climate impacts including climate-related natural disasters. In order to build the adaptive capacity of vulnerable communities an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04c477448dbfeaac36d389ac56de2528
https://doi.org/10.5194/egusphere-egu23-3743

A Typo Correction System Using Artificial Neural Networks for a Text-based Ornamental Fish Search Engine.

Autor: Hyunhak Song, Sungyoon Cho, Wongi Jeon, Kyungwon Park, Jaedong Shim, Kiwon Kwon

Publikováno v: KSII Transactions on Internet & Information Systems; Aug2023, Vol. 17 Issue 8, p2278-2291, 14p

Effects of three-dimensional image based insole for healthy volunteers: a pilot clinical trial

Autor: Bi O Jeong, Su Jin Jeong, Kyungwon Park, Bo-Hyung Kim, Sung-Vin Yim, Sehyun Kim

Publikováno v: Translational and Clinical Pharmacology. 31:49

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba9c4366433d19eecd97448bf3c497af
https://doi.org/10.12793/tcp.2023.31.e5

Beyond Strict Regulations to Achieve Environmental and Economic Health—An Optimal PM2.5 Mitigation Policy for Korea

Autor: Yongsuk Hong, Eun-Jin Kang, Kyungwon Park, Yoon Lee, Changsub Shim, Taeyeon Yoon

Publikováno v: International Journal of Environmental Research and Public Health
Volume 17
Issue 16
International Journal of Environmental Research and Public Health, Vol 17, Iss 5725, p 5725 (2020)

Growing concern about particulate matter (PM2.5) pressures Korea to reduce the health risks associated with its high dependency on fossil fuels. The Korean economy relies heavily on large thermal power plants&mdash
a major source of PM2.5 emissi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de47e8ebeaee3a0a8035c0329dd1a25