Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jongmin Yeom"'
Autor:
JongMin Yeom, Hongtak Lee
Publikováno v:
Geo Data, Vol 2, Iss 1, Pp 19-23 (2020)
The Korea Aerospace Research Institute (KARI) estimated solar renewable energy maps for the Korean Peninsula using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite). In the case of photovoltaic re
Externí odkaz:
https://doaj.org/article/2ae7525d4e9e42e5a531ef6cf5dc9148
Autor:
Hongtak Lee, JongMin Yeom
Publikováno v:
Geo Data, Vol 1, Iss 1, Pp 7-12 (2019)
Comparison with ground-truth data is essential for developing and applying remote sensing algorithm towards the Earth surface. Unfortunately, major sources of domestic ground-truth data are depending on field-campaign with limited period because of i
Externí odkaz:
https://doaj.org/article/04d98b057d6d4a35aa40bb2d33e56251
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6161 (2022)
Drought affects a region’s economy intensively and its severity is based on the level of infrastructure present in the affected region. Therefore, it is important not only to reflect on the conventional environmental properties of drought, but also
Externí odkaz:
https://doaj.org/article/378a1c7889c24245ad88487713af5f17
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2121 (2021)
This study proposes an improved approach for monitoring the spatial concentrations of hourly particulate matter less than 2.5 μm in diameter (PM2.5) via a deep neural network (DNN) using geostationary ocean color imager (GOCI) images and unified mod
Externí odkaz:
https://doaj.org/article/2a04ae2b00a04f0fb41e5a82857c499d
Publikováno v:
Remote Sensing, Vol 11, Iss 18, p 2131 (2019)
Remote sensing is a useful technique to determine spatial variations in crop growth while crop modelling can reproduce temporal changes in crop growth. In this study, we formulated a hybrid system of remote sensing and crop modelling based on a rando
Externí odkaz:
https://doaj.org/article/ec56c90b5f1c4ec08015d5bc5efc0bc5
Autor:
Sungchan Jeong, Youngryel Ryu, Benjamin Dechant, Xing Li, Juwon Kong, Wonseok Choi, Minseok Kang, Jongmin Yeom, Joongbin Lim, Keunchang Jang, Junghwa Chun
Publikováno v:
Remote Sensing of Environment. 284:113365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f076aa700eb94d7d14a3e85052f2c9
https://doi.org/10.1016/j.rse.2022.113365
https://doi.org/10.1016/j.rse.2022.113365