Prof. Yongil Kim | Remote Sensing | Best Paper Award

Prof. Yongil Kim | Remote Sensing | Best Paper Award

Professor at Seoul National University, South Korea

👨‍🎓 Profiles

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

👨‍🎓 Profiles

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

👨‍🎓 Profiles

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

Prof. Nourelislam Bachari | Remote Sensing | Academic Advancement Award

Prof. Nourelislam Bachari | Remote Sensing | Academic Advancement Award

Professor at University of Science and Technology of Houari Boumedien, Algeria

Profile

Orcid

Summary:

Prof. Bachir Nouri is a prominent figure in the field of marine science and remote sensing, serving as the Director of the Laboratory of Biological Oceanography and the Marine Environment (LOBEM) at the University of Science and Technology of Houari Boumedien (USTHB), Algiers, Algeria. With a distinguished career spanning over two decades, Dr. Nouri has made significant contributions to the study of marine environments and spatial oceanography.

Education

  • PhD in Radiation-Matter: Department of Physics, University of Science and Technology of Oran (USTO-MB), April 11, 1999.
  • Grade Professor: Appointed as University Professor on November 22, 2004.

🔬 Professional Experience

  • Remote Sensing Laboratory (L.A.A.R), U.S.T. Oran (2000-2010): Led research in remote sensing.
  • Spatial Oceanography Laboratory (L.O.B.E.M), U.S.T.H.B (2010-present): Focuses on spatial oceanography.
  • Laboratory Director, L.O.B.E.M (2022-present): Oversees research and operations at the laboratory.

🏆 Awards and Recognition

  • Russian Academy of Sciences (2018): Honored for outstanding scientific contributions.
  • Best Oral Communication and Best Poster Publication at a conference in Tunisia (2019).

💼 Project Management and Contributions

  • PNR Projects (2012): Development of a Solar Information System and Modeling of Multisource Data for studying small pelagics.
  • ONED CC 43 (2012-2014): System for managing and analyzing multisource data for monitoring soil-atmosphere interactions.
  • CNEPRU Projects: Various initiatives on fishery resources, climate variability, and the creation of geographic information systems for the Algerian coast.
  • Recent Projects: Development of a multi-application GIS for studying the marine environment and updated marine charts for the Algerian coast.

🛠️ Achievements

  • Marine Weather Station Development (Patent): 2023.
  • Algerian Coast Information System SIGLA: 2023.
  • Software Development for Satellite Image Processing (PCSATWIN)

 

Publications

Methodology for Monitoring Silting and the Coastline of Small Ports Using Sentinel-2 Images: The Case of Port Cap Djinet Algeria

  • Authors: Hocine Dahmani, Fouzia Houma Bachari, François Marin, Nourelislam Bachari
  • Journal: Remote Sensing
  • Year: 2024

Assist Prof Dr. Oktay Aksu | Remote Sensing | Best Researcher Award

Assist Prof Dr. Oktay Aksu | Remote Sensing | Best Researcher Award

Oktay Aksu at Istanbul Okan University, Turkey

Profiles

Scopus

Orcid

Academic Background

Assist Prof Dr. Oktay Aksu is a seasoned expert in Geodesy, Photogrammetry, and Remote Sensing, with extensive experience in both academia and industry. His career spans over four decades, including significant roles in international projects and academic institutions.

Education

Assist Prof Dr. Oktay Aksu holds a Bachelor’s degree in Mapping from MSB Harita Genel Komutanlığı Harita Yüksekokulu (1983), an MSc in Geodesy & Photogrammetry from Istanbul Technical University (1998), and a PhD in Geodesy & Photogrammetry from Istanbul Technical University (2002). His theses focused on aerial triangulation methods and spatial changes due to liquefaction and fault movements.

💼 Professional Experience

Assist Prof Dr. Aksu has served as an Assistant Professor at Okan University since 2014, following a role as a Lecturer there. His professional background includes roles as an Advisor and Project Manager for Pasco Corporation in Indonesia and Saudi Arabia, respectively. Additionally, he has held positions as a Lecturer at MSB Harita Yüksekokulu and as an Engineer Officer at the General Command of Mapping.

🔬 Research Interests

Assist Prof Dr. Aksu’s research interests include Photogrammetry, Remote Sensing, and Geographic Information Systems. His work emphasizes innovations in aerial triangulation and spatial analysis methods, and he has a significant track record in managing and contributing to large-scale mapping projects both domestically and internationally.

Publications

SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
  • Authors: Muzaffer Can Iban, Oktay Aksu
  • Journal: Remote Sensing
  • Year: 2024
İstanbul’da Kentsel Dönüşüm Proje Alanları İçin Rezerv Alan Tespiti
  • Authors: Ayşe Buse Ciliz, Oktay Aksu
  • Journal: Türkiye Arazi Yönetimi Dergisi
  • Year: 2023
Valuation Mapping of Rural Areas in Central Turkey: A Model Proposal Case Study
  • Authors: Oktay Aksu, Agne Karlikanovaite Balikci, Mustafa Kurt
  • Journal: Preprint
  • Year: 2023
A Model for Big Spatial Rural Data Infrastructure in Turkey: Sensor-Driven and Integrative Approach
  • Authors: Muzaffer Can Iban, Oktay Aksu
  • Journal: Land Use Policy
  • Year: 2020
Considerations on the Land Management System Approach in Turkey by the Experiences of a Case Study
  • Authors: Oktay Aksu, Muzaffer Can Iban
  • Journal: Survey Review
  • Year: 2019

Mr. Shuai Li | Remote Sensing | Best Researcher Award

Mr. Shuai Li, Remote Sensing, Best Researcher Award

Shuai Li at Chinese Academy of Forestry, China

Professional Profile

🌟 Summary:

Mr. Shuai Li is a Senior Engineer at the Experimental Center of Desert Forestry, Chinese Academy of Forestry, where he specializes in monitoring desert ecosystem dynamics, biodiversity change, and ecosystem health assessment. He is currently pursuing a PhD at the Chinese Academy of Forestry.

🎓 Education:

PhD in progress, Chinese Academy of Forestry

💼 Professional Experience:

Senior Engineer, Experimental Center of Desert Forestry, Chinese Academy of Forestry

🔬 Research Interests:

  • Desert Ecosystems
  • Biodiversity
  • Landscape Ecology

Professional Memberships:

Member of the Special Committee for Shrubs Afforestation in Arid Areas, Chinese Society of Sand Industry and Desertification Control

📖 Publications Top Noted:

Paper Title: Mapping Dryland Ecosystems Using Google Earth Engine and Random Forest: A Case Study of an Ecologically Critical Area in Northern China
  • Authors: Shuai Li, Pu Guo, Fei Sun, Jinlei Zhu, Xiaoming Cao, Xue Dong, Qi Lu
  • Journal: Land
  • Year: 2024
Paper Title: Variation in soil bacterial community characteristics inside and outside the West Ordos National Nature Reserve, northern China
  • Authors: Pu Guo, Shuai Li, Jinlei Zhu, Qi Lu
  • Journal: Frontiers in Microbiology
  • Year: 2024
Paper Title: Productivity and Species Diversity of Plant Communities Are Higher inside than outside the West Ordos National Nature Reserve, Northern China
  • Authors: Pu Guo, Qi Lu, Shuai Li
  • Journal: Plants
  • Year: 2024
Paper Title: Sr-Nd isotopic compositions of aeolian sand in the northern Ulan Buh Desert and Yamalik Desert: Implications for provenance and transport processes
  • Authors: Weiyuan Kong, Shangzhe Zhou, Guipeng Cui, Pan Gao, Shuai Li, Qi Lu
  • Journal: CATENA
  • Year: 2024
Paper Title: Tracing provenance of eolian sands in the northern Ulan Buh Desert, China: Evidence from the REE geochemical characteristics
  • Authors: Weiyuan Kong, Shangzhe Zhou, Guipeng Cui, Pan Gao, Shuai Li, Qi Lu
  • Journal: Heliyon
  • Year: 2024