Jong‐Min Yeom - Publications, H-index & Citations

Jong‐Min Yeom

korea aerospace research institute (kari)

23H指数

113论文数

1.4K被引数

收录论文 29

发表时间

Deep learning-enhanced remote sensing-integrated crop modeling for rice yield prediction

ECOLOGICAL INFORMATICS

IF7.3

2024-12-01

OAAI

Jeong, Seungtaek; Ko, Jonghan; Ban, Jong-oh; Shin, Taehwan; Yeom, Jong-min

Enhanced Short-Term Prediction of Solar Radiation Using HRNet Model With Geostationary Satellite Data 使用对地静止卫星数据的HRNet模型对太阳辐射进行增强的短期预测

ieee geoscience and remote sensing magazine

IF4.4

2024-01-01

PREAI

Ahn, Hyojung; Yu, Jeongmin; Ko, Jonghan; Yeom, Jong-Min

Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager 使用对地静止卫星跟踪总初级生产力的昼夜变化，GK-2A先进的气象成像仪

REMOTE SENSING OF ENVIRONMENT

IF11.4

2023-01-01

OAAI

Jeong, Sungchan; Ryu, Youngryel; Dechant, Benjamin; Li, Xing; Kong, Juwon; Choi, Wonseok; Kang, Minseok; Yeom, Jongmin; Lim, Joongbin; Jang, Keunchang; Chun, Junghwa

Remote Sensing-Based Evaluation of Heat Stress Damage on Paddy Rice Using NDVI and PRI Measured at Leaf and Canopy Scales

AGRONOMY-BASEL

IF3.4

2022-08-20

OAAI

Ryu, Jae-Hyun; Oh, Dohyeok; Ko, Jonghan; Kim, Han-Yong; Yeom, Jong-Min; Cho, Jaeil

Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

SCIENTIFIC REPORTS

IF3.9

2022-05-30

OAAI

Jeong, Seungtaek; Ko, Jonghan; Shin, Taehwan; Yeom, Jong-min

Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models 从GOCI地球静止卫星数据估算每小时气溶胶光学厚度: 深度神经网络，机器学习和物理模型

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

IF8.6

2022-01-01

OAAI

Yeom, Jong-Min; Jeong, Seungtaek; Ha, Jong-Sung; Lee, Kwon-Ho; Lee, Chang-Suk; Park, Seonyoung

Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2022-01-01

OAAI

Jeong, Seungtaek; Ko, Jonghan; Yeom, Jong-Min

Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite

GISCIENCE & REMOTE SENSING

IF6.9

2021-01-11

OAAI

Yeom, Jong-Min; Jeong, Seungtaek; Deo, Ravinesh C.; Ko, Jonghan

Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea 结合对地静止卫星图像的短期太阳辐射预测的空间映射以及韩国的深度卷积LSTM网络

ENVIRONMENTAL RESEARCH LETTERS

IF5.6

2020-08-21

OAAI

Yeom, Jong-Min; Deo, Ravinesh C.; Adamowski, Jan F.; Park, Seonyoung; Lee, Chang-Suk

Geographical variations in gross primary production and evapotranspiration of paddy rice in the Korean Peninsula

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2020-04-01

PREAI

Jeong, Seungtaek; Ko, Jonghan; Kang, Minseok; Yeom, Jongmin; Ng, Chi Tim; Lee, Seung-Hoon; Lee, Yeon-Gil; Kim, Han-Yong

Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IF16.3

2020-03-01

OAAI

Yeom, Jong-Min; Deo, Ravinesh C.; Adamwoski, Jan F.; Chae, Taebyeong; Kim, Dong-Su; Han, Kyung-Soo; Kim, Do-Yong

Thin cloud detection over land using background surface reflectance based on the BRDF model applied to Geostationary Ocean Color Imager (GOCI) satellite data sets

REMOTE SENSING OF ENVIRONMENT

IF11.4

2020-03-01

OAAI

Yeom, Jong -Min; Roujean, Jean-Louis; Han, Kyung-Soo; Lee, Kyeong-Sang; Kim, Hye-Won

Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

SENSORS

IF3.5

2019-05-05

OAAI

Yeom, Jong-Min; Park, Seonyoung; Chae, Taebyeong; Kim, Jin-Young; Lee, Chang Suk

Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model

SCIENTIFIC REPORTS

IF3.9

2018-10-31

OAAI

Yeom, Jong-min; Jeong, Seungtaek; Jeong, Gwanyong; Ng, Chi Tim; Deo, Ravinesh C.; Ko, Jonghan

Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model

INTERNATIONAL JOURNAL OF REMOTE SENSING

IF2.6

2018-01-10

PREAI

Jeong, Seungtaek; Ko, Jonghan; Choi, Jinsil; Xue, Wei; Yeom, Jong-min

Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements

INTERNATIONAL JOURNAL OF REMOTE SENSING

IF2.6

2017-09-13

OAAI

Yeom, Jong-Min; Deo, Ravinesh; Chun, Junghwa; Hong, Jinkyu; Kim, Dong-Su; Han, Kyung-Soo; Cho, Jaeil

An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

IF3.4

2017-08-10

OAAI

Kim, Hye-Won; Yeom, Jong-Min; Shin, Daegeun; Choi, Sungwon; Han, Kyung-Soo; Roujean, Jean-Louis

Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system

GISCIENCE & REMOTE SENSING

IF6.9

2017-08-07

PREAI

Lee, Chang Suk; Han, Kyung-Soo; Yeom, Jong-Min; Lee, Kyeong-sang; Seo, Minji; Hong, Jinkyu; Hong, Je-Woo; Lee, Keunmin; Shin, Jinho; Shin, In-Chul; Chun, Junghwa; Roujean, Jean-Louis

Mapping heatwave vulnerability in Korea

NATURAL HAZARDS

IF3.7

2017-06-05

PREAI

Kim, Do-Woo; Deo, Ravinesh C.; Lee, Jong-Seol; Yeom, Jong-Min

Monitoring canopy growth and grain yield of paddy rice in South Korea by using the GRAMI model and high spatial resolution imagery

GISCIENCE & REMOTE SENSING

IF6.9

2017-02-22

PREAI

Kim, Mijeong; Ko, Jonghan; Jeong, Seungtaek; Yeom, Jong-min; Kim, Hyun-ok

研究方向