Soo-Jin Lee

发表

A Hybrid App for Wildfire Information over the Korean Peninsula using Satellite Data: Implementation and Applications*

Goo Kim, Hyung-Woo Kim, Soo-Jin Lee, 2014 .

Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring

Nari Kim, Nari Kim, Soo-Jin Lee, 2021, Remote. Sens..

On the relationships between satellite-based drought index and gross primary production in the North Korean croplands, 2000–2012

Jaeil Cho, Sungwook Hong, Hanlim Lee, 2016 .

A Deep Neural Network Approach to Prediction of Rice Yields in China

Yang-Won Lee, Nari Kim, Subin Cho, 2020 .

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

Kyungwon Park, Soo-Jin Lee, E. Sohn, 2023, Remote Sensing.

Detection of Forest Disaster Areas Using High-resolution Satellite Images with Fully Convolutional Network

Jong Hwan Lim, 이수진, Hyung Woo Kim, 2018 .

Deep Learning-based Retrieval of Daily 500-m Soil Moisture for South Korea

부경대학교 지구환경시스템과학부 공간정보시스템공학전공 석사과정, Soo-Jin Lee, Kwangjin Kim, 2017 .

Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images

Minha Choi, Jaeil Cho, Chuluong Choi, 2023, Remote. Sens..