Prof. Dr. Yangwon Lee | Satellite Remote Sensing | Research Excellence Award

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Prof. Dr. Yangwon Lee | Satellite Remote Sensing | Research Excellence Award

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.

Qiqige Bademu | Ecology and Conservation | Research Excellence Award

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Mrs. Qiqige Bademu | Ecology and Conservation | Research Excellence Award

Researcher | China Geological Survey Comprehensive Survey Command Center for Natural Resources | China

Mrs. Qiqige Bademu has established a notable scientific presence through her sustained contributions to Ecology and Conservation, demonstrating a strong commitment to advancing ecological understanding and ecosystem restoration. Her work in Ecology and Conservation reflects a comprehensive engagement with grassland environments, where she investigates vegetation dynamics, soil properties, and microbial communities under varying ecological pressures. With a research foundation grounded in grassland systems, she has produced valuable insights into how grazing intensity shapes the interactions among vegetation, soil, and microorganisms, reinforcing the broader significance of Ecology and Conservation in safeguarding fragile ecosystems. Her scientific contributions to Ecology and Conservation extend to exploring arbuscular mycorrhizal fungi and their ecological functions, providing deeper clarity on how microbial communities influence productivity and stability across diverse grassland types. Mrs. Qiqige Bademu has strengthened the field of Ecology and Conservation through regional surveys, controlled field experiments, and collaborative work that enhances understanding of degraded landscapes. Her research in Ecology and Conservation includes examining microbial diversity, ecological restoration strategies, and natural resource assessments across multiple grassland regions. She has contributed to peer-reviewed SCI publications addressing microbial diversity, vegetation–soil interactions, and rhizosphere ecology, reinforcing her credibility within Ecology and Conservation. Her collaborative engagements further extend the impact of her work, supporting the development of sustainable land-management strategies and evidence-based ecological planning. Across her research pathway in Ecology and Conservation, she consistently integrates multidisciplinary approaches that strengthen environmental resilience and inform future conservation frameworks. Mrs. Qiqige Bademu continues to contribute meaningfully to Ecology and Conservation through applied ecological research, natural resource investigation, and impactful scientific outputs that support long-term environmental sustainability. Her portfolio reflects a professional dedication to improving ecological restoration practices and advancing microbial–plant–soil interaction studies within the global discourse on Ecology and Conservation. Scopus profile of 20 Citations, 6 Documents, 3 h-index.

Profile: Scopus

Featured Publication

1. Effects of heavy grazing on soil microbial diversity and its drivers in different types of grasslands. (2025). Chinese Science Bulletin.