Prof. Yongil Kim | Remote Sensing | Best Paper Award

Prof. Yongil Kim | Remote Sensing | Best Paper Award

Professor at Seoul National University, South Korea

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Scopus

Publications

Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

  • Authors: Minkyung Chung, Yongil I. Kim
    Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    Year: 2025

Analysis of Urban Vitality in Democratic People’s Republic of Korea Using Geospatial Data and Nighttime Light Satellite Imagery

  • Authors: Yeseok Lee, Donghyeon Lee, Jiyong Kim, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2024

Optimal Hyperparameter Analysis of Segment Anything Model for Building Extraction Using KOMPSAT-3/3A Images

  • Authors: Donghyeon Lee, Jiyong Kim, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2024

Integrated Framework for Unsupervised Building Segmentation with Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised Learning

  • Authors: Jiyong Kim, Yongil I. Kim
    Journal: Remote Sensing
    Year: 2024

High-Resolution Satellite Image Super-Resolution Using Image Degradation Model with MTF-Based Filters

  • Authors: Minkyung Chung, Minyoung Jung, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2023

Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Doctorate at Curtin University, Australia

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Google Scholar

Publications

A warming climate will make Australian soil a net emitter of atmospheric CO2

  • Authors: RA Viscarra Rossel, M Zhang, T Behrens, R Webster
  • Journal: npj Climate and Atmospheric Science
  • Year: 2024

Mid-infrared spectroscopy determines the provenance of coastal marine soils and their organic and inorganic carbon content

  • Authors: Lewis Walden, Oscar Serrano, Zefang Shen, Mingxi Zhang, Paul Lavery, Zhongkui Luo, Lei Gao, Raphael A Viscarra Rossel
  • Journal: Science of The Total Environment
  • Year: 2024

Estimating nutrient transport associated with water and wind erosion across New South Wales, Australia

  • Authors: Xihua Yang, John Leys, Mingxi Zhang, Jonathan M Gray
  • Journal: Geoderma
  • Year: 2023

Monitoring of sustainable land management using remotely sensed vegetation cover and variable tolerable soil erosion targets across New South Wales, Australia

  • Authors: Jonathan M Gray, John F Leys, Xihua Yang, Mingxi Zhang
  • Journal: Soil Use and Management
  • Year: 2023

Deep transfer learning of global spectra for local soil carbon monitoring

  • Authors: Zefang Shen, Leonardo Ramirez-Lopez, Thorsten Behrens, Lei Cui, Mingxi Zhang, Lewis Walden, Johanna Wetterlind, Zhou Shi, Kenneth A Sudduth, Philipp Baumann, Yongze Song, Kevin Catambay, Raphael A Viscarra Rossel
  • Journal: ISPRS Journal of Photogrammetry and Remote Sensing
  • Year: 2022

Dr. Ali Hosingholizade | Remote Sensing | Best Researcher Award

Publications

Assessment of Pine Tree Crown Delineation Algorithms on UAV Data: From K-Means Clustering to CNN Segmentation

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Virginia Elena Garcia Millan, Miłosz Mielcarek, Saied Pirasteh, Krzysztof Stereńczak
  • Journal: Forests
  • Year: 2025

Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Saied Pirasteh, Virginia Garcia Millan
  • Journal: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • Year: 2024

Height estimation of pine (Pinus eldarica) single trees using slope corrected shadow length on unmanned aerial vehicle (UAV) imagery in a plantation forest

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Hooman Latifi, Yaser Jouybari-Moghaddam
  • Journal: Annals of Forest Research
  • Year: 2023

Tree Crown Delineation on Uav Imagery Using Combination of Machine Learning Algorithms with Majority Voting

  • Authors: A Hosingholizade, Y Erfanifard, SK Alavipanah, H Latifi, Y Jouybari-Moghaddam
  • Journal: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • Year: 2025

Investigation of linear and logarithmic regression between measured and calculated parameters of Eldarica pine tree

  • Authors: Ali Hosingholizade
  • Journal: Intercontinental Geoinformation Days
  • Year: 2023

Mr. Xiao Yang | Remote Sensing | Best Researcher Award

Mr. Xiao Yang | Remote Sensing | Best Researcher Award

Xiao Yang at Universiti Sains Malaysia, China

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Orcid

Publications

Gaussian-based R-CNN with large selective kernel for rotated object detection in remote sensing images

  • Authors: Xiao Yang, Ahmad Sufril Azlan Mohamed
  • Journal: Neurocomputing
  • Year: 2025

Jyoti-Sharma-Remote Sensing-Best Researcher Award 

Dr. Jyoti-Sharma-Remote Sensing-Best Researcher Award 

India Meteorological Department-India 

Author Profile

Early Academic Pursuits

Dr. Jyoti Sharma's academic journey commenced with a Bachelor of Science degree in Physics, Mathematics, and Chemistry from M. J. P. Rohilkhand University, Bareilly, followed by a Master's in Physics from the same institution. Her academic pursuits culminated in a Ph.D. in Remote Sensing from the Department of Physics, Indian Institute of Technology, BHU, Varanasi. During her doctoral research, Sharma delved into the retrieval of soil moisture and biophysical parameters using microwave spaceborne observations, showcasing her early interest in remote sensing applications for environmental studies.

Professional Endeavors

Dr. Jyoti Sharma's professional trajectory underscores her commitment to advancing remote sensing techniques for environmental monitoring. She commenced her post-doctoral journey as a Research Associate at the Hydrology Process Group, National Centre for Earth Science Studies, Thiruvananthapuram, Kerala. Following this, she assumed the role of Project Scientist at the India Meteorological Department, New Delhi. These roles provided her with diverse opportunities to apply her expertise in satellite data processing, radar data processing, and image analysis techniques.

Contributions and Research Focus

Dr. Jyoti Sharma's research contributions span various domains within remote sensing and geoscience. Her work encompasses the refinement of algorithms for soil moisture retrieval, improvement of spatial representation of soil moisture data, and the estimation of biophysical parameters using radar and satellite data. Notably, her research has been published in prestigious journals such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing, showcasing the significance of her contributions to the scientific community.

Accolades and Recognition

Sharma's dedication to her research endeavors has garnered recognition from the academic community. She was awarded the Best Poster Award at the International Soil Moisture School (ISMS) by the IEEE-GRSS society in 2023. Additionally, her qualification as a CSIR-NET JRF in Physical Science further underscores her academic prowess and recognition within her field.

Impact and Influence

Dr. Jyoti Sharma's research outputs and participation in academic conferences have contributed significantly to the advancement of remote sensing techniques for environmental monitoring. Her investigations into soil moisture retrieval algorithms and biophysical parameter estimation have implications for agriculture, hydrology, and climate studies. Moreover, her collaborations with national and international research institutions underscore her role in fostering interdisciplinary research partnerships for addressing complex environmental challenges.

Jyoti Sharma's exemplary dedication to advancing remote sensing techniques has earned her the prestigious Remote Sensing Award.

Legacy and Future Contributions

As Dr. Jyoti Sharma continues to evolve professionally, her legacy lies in her contributions to the refinement of remote sensing methodologies for environmental monitoring and assessment. Her interdisciplinary approach and expertise in satellite data processing equip her to address emerging challenges in climate change, land use dynamics, and water resource management. Looking ahead, Sharma's future contributions are poised to further enrich our understanding of Earth's systems and support evidence-based decision-making for sustainable development.

In summary, Jyoti Sharma's academic journey, professional endeavors, research focus, accolades, and future contributions collectively underscore her significant impact on the field of remote sensing and geoscience. Her commitment to excellence and interdisciplinary collaboration positions her as a leading figure in the domain of environmental monitoring and assessment.

Citations

  • Citations     109
  • h-index           6
  • i10-index        3

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