2022-10 | Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning | Sung, Taejun; Sim, Seongmun; Jang, Eunna, et al | ARTICLE | 584 |
|
2022-10 | Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin | Kim, Byeongcheol; Lee, Kyungil; Park, Seonyoung, et al | ARTICLE | 439 |
|
2022-10 | Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS | Kim, Junwoo; Kim, Duk-jin; Sohn, Hong-Gyoo, et al | ARTICLE | 496 |
|
2022-10 | Generation of Daily High-resolution Sea Surface Temperature for the Seas around the Korean Peninsula Using Multi-satellite Data and Artificial Intelligence | Jung, Sihun; Choo, Minki; Im, Jungho, et al | ARTICLE | 484 |
|
2022-09 | Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach | Wang, Man; Im, Jungho; Zhao, Yinghui, et al | ARTICLE | 335 |
|
2022-09 | 스태킹 앙상블 모델을 이용한 시간별 지상 오존 공간내삽 정확도 향상 | 김예진; 강은진; 조동진, et al | ARTICLE | 185 |
|
2022-09 | 우리나라 연안 대형저서동물 시·공간 군집 특성 분석 | 김영준; 임정호; 조춘옥, et al | ARTICLE | 283 |
|
2022-08 | Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia | Park, Seohui; Im, Jungho; Kim, Jhoon, et al | ARTICLE | 306 |
|
2022-06 | Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning | Lee, Jaese; Park, Sumin; Im, Jungho, et al | ARTICLE | 413 |
|
2022-06 | Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest | Yoo, Cheolhee; Im, Jungho; Cho, Dongjin, et al | ARTICLE | 303 |
|
2022-05 | Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning | Jang, Eunna; Kim, Young Jun; Im, Jungho, et al | ARTICLE | 303 |
|
2022-04 | All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning | Cho, Dongjin; Bae, Dukwon; Yoo, Cheolhee, et al | ARTICLE | 423 |
|
2022-04 | Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South Korea | Yoon, Donghyuck; Kim, Kyoungmin; Cha, Dong-Hyun, et al | ARTICLE | 454 |
|
2022-03 | A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches | Cho, Dongjin; Yoo, Cheolhee; Son, Bokyung, et al | ARTICLE | 429 |
|
2022-02 | High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension | Jung, Sihun; Yoo, Cheolhee; Im, Jungho | ARTICLE | 388 |
|
2022-01 | Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD | Lee, Seunghee; Park, Seohui; Lee, Myong-In, et al | ARTICLE | 713 |
|
2022-01 | A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery | Baek, You-Hyun; Moon, Il-Ju; Im, Jungho, et al | ARTICLE | 361 |
|
2022-01 | Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia | Kang, Yoojin; Kim, Miae; Kang, Eunjin, et al | ARTICLE | 396 |
|
2021-12 | Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer | Shin, Yeji; Han, Daehyeon; Im, Jungho | ARTICLE | 814 |
|
2021-12 | Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea | Kang, Eunjin; Yoo, Cheolhee; Shin, Yeji, et al | ARTICLE | 940 |
|