Professor | Pukyong National University | South Korea
Prof. Dr. Yangwon Lee is a distinguished scholar whose work in Satellite Remote Sensing has contributed significantly to the advancement of environmental monitoring and geospatial intelligence. His research integrates Satellite Remote Sensing with artificial intelligence to address critical challenges related to hydrology, agriculture, forestry, meteorology, marine environments, and disaster assessment. Prof. Dr. Yangwon Lee has produced influential studies utilizing Satellite Remote Sensing for flood estimation, soil moisture retrieval, reservoir storage prediction, wildfire detection, marine oil spill monitoring, and atmospheric data gap filling. His extensive publication record demonstrates strong expertise in Satellite Remote Sensing applications that blend machine learning, deep learning, and transformer-based models to extract high quality insights from diverse satellite platforms. Through collaborations across multidisciplinary domains, he has advanced practical uses of Satellite Remote Sensing in real time monitoring, ecological conservation, and sustainable resource management. Prof. Dr. Yangwon Lee has consistently demonstrated leadership in developing automated systems that enhance the accuracy, efficiency, and reliability of Satellite Remote Sensing analytics. His work has strengthened scientific understanding of climate related processes and improved decision making frameworks for environmental agencies through the integration of Satellite Remote Sensing data with meteorological variables and digital elevation models. By expanding methodological innovations in Satellite Remote Sensing, he has contributed to the creation of scalable models that support national and international research communities. The societal relevance of his work is reflected in its direct application to disaster preparedness, agricultural productivity, coastal protection, and environmental restoration efforts where Satellite Remote Sensing plays a central role in timely data driven assessments. Prof. Dr. Yangwon Lee continues to influence the global scientific landscape through impactful publications, sustained research productivity, and progressive approaches to complex environmental challenges empowered by Satellite Remote Sensing. Presented with professional clarity Scopus profile of 1058 Citations, 169 Documents, 15 h index.
Profiles: ORCID | Scopus
Featured Publications
1. Machine Learning-Based Near-Real-Time Monitoring of Wildfire Spread Extent Using GK2A and VIIRS. (2025). Korean Journal of Remote Sensing.
2. Semiautomated sedimentary type classification of seamounts in the Western Pacific using deep-sea camera images. (2025). Geosciences Journal.
3. An optimized LNA utilizing MGA for high performance 24 GHz radar applications. (2025). Analog Integrated Circuits and Signal Processing.
4. Estimation of flood inundation area using Soil Moisture Active Passive fractional water data with an LSTM model. (2025). Sensors.
5. An adaptive 24 GHz PSO-based optimized VCO in next-generation wireless sensor networks. (2025). Applied Sciences.