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

Mrs. Zahra Jafari | Remote Sensing | Women Researcher Award

Mrs. Zahra Jafari | Remote Sensing | Women Researcher Award

Zahra Jafari at Memorial University Of Newfoundland, Canada

👨‍🎓 Profiles

Google Scholar

Publications

A deep ensemble medical image segmentation with novel sampling method and loss function

  • Authors: SeyedEhsan Roshan, Jafar Tanha, Mahdi Zarrin, Alireza Fakhim Babaei, Haniyeh Nikkhah, Zahra Jafari
  • Journal: Computers in Biology and Medicine
  • Year: 2024

A Novel Method for the Estimation of Sea Surface Wind Speed from SAR Imagery

  • Authors: Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor
  • Journal: Journal of Marine Science and Engineering
  • Year: 2024

Breast cancer detection in mammography images: a CNN-based approach with feature selection

  • Authors: Zahra Jafari, Ebrahim Karami
  • Journal: Information
  • Year: 2023

Enhanced ship/iceberg classification in SAR images using feature extraction and the fusion of machine learning algorithms

  • Authors: Zahra Jafari, Ebrahim Karami, Rocky Taylor, Pradeep Bobby
  • Journal: Remote Sensing
  • Year: 2023

A Deep CNN Model Based Ensemble Approach for Semantic and Instance Segmentation of Indoor Environment

  • Authors: Sajad Rezaei, Jafar Tanha, Zahra Jafari, SeyedEhsan Roshan, Mohammad-Amin Memar Kochebagh
  • Journal: 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
  • Year: 2023

Prof. Iago Llantada | Satellite Imagery Analysis | Best Researcher Award

Prof. Iago Llantada | Satellite Imagery Analysis | Best Researcher Award

Professor at Secretaria de Educação do Estado de Santa Catarina, Brazil

Profile

Orcid

Education

Prof. Iago R. Llantada is a Professor of Geography currently associated with the State of Santa Catarina, Brazil. He earned his Bachelor’s degree in Oceanography in 2020 from UFPR and obtained a Licentiate degree in Geography in 2023 from Universidade Cruzeiro do Sul. Iago also holds a Master’s degree in Oceanography from UFSC, where he was a FAPESC Fellow, conducting research related to Coastal Management. Additionally, he is pursuing a Bachelor’s degree in Law at UNISUL, currently in his 9th semester, with an expected graduation in 2024.

🛠️ Skills and Expertise

Prof. Iago possesses a diverse skill set that includes geographical data analysis, utilizing GIS tools like ArcGIS, QGIS, and Google Earth Pro. He is diligent and disciplined in achieving work goals and is adept at analyzing legal, social, economic, and environmental information. His expertise extends to integrated information management, project execution, and data management using various digital tools.

Software Proficiency

Prof. Iago is proficient in several software applications, including ArcGIS, QGIS, Google Earth Pro, Google Earth Engine, MatLab, RStudio, and Ocean Data View. He also has experience with the Microsoft Office Suite and tools for video editing and graphic design.

🌍 Professional Experience

Currently, Prof. Iago is a Professor of Geography in Sombrio, Santa Catarina, where he teaches both in-person and remotely, fostering critical geographical skills among students. He monitors student performance and develops teaching plans aligned with educational requirements. Iago has also contributed as a researcher at the UFSC’s Coastal Management Laboratory, where he conducted environmental assessments using GIS tools during his Master’s studies. His early experience includes an internship in Oceanography at UFPR, focusing on environmental sustainability indicators, which led to a publication in the “Revista Costas” of the University of Cádiz, Spain.

🎖️ Military Experience

In 2012, Prof. Iago completed his mandatory military service as an Aspirant Officer at the Brazilian Army’s Center for the Preparation of Reserve Officers (CPOR) in Porto Alegre. During his service, he excelled in various military competencies, receiving commendations for his leadership and performance in the Cavalry and during the Operation Fibra.

📊 Research and Projects

Prof. Iago’s research contributions include work on environmental management in global surf reserves, which he presented at the XIV ENCOGERCO and co-authored a book chapter on coastal governance. His Master’s dissertation at UFSC focused on the challenges and opportunities in surf reserve management. He also conducted research during his Bachelor’s degree at UFPR, evaluating the certification potential of a surf reserve in Southern Brazil, resulting in a published article in “Revista Costas.”

Publications

Utilização de critérios socioambientais para avaliar o potencial de certificação de uma reserva de surfe no sul do Brasil

  • Authors: Iago R. Llantada
  • Journal: Revista Costas
  • Year: 2021

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