Fatma Ben Brahim | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

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Research Excellence Award

Fatma Ben Brahim
Affiliation National Engineering School of Sfax
Country Tunisia
Scopus 55369796400
Documents 23
Citations 361
h-index 11
Subject Area Remote Sensing and Satellite Imagery Analysis
Event Global Tech Excellence Awards

Fatma Ben Brahim is a researcher affiliated with the National Engineering School of Sfax in Tunisia, recognized for scholarly contributions in remote sensing, satellite imagery analysis, and geospatial data interpretation. Her academic work reflects interdisciplinary engagement in image processing methodologies, environmental monitoring systems, and computational analysis of spatial information. The recognition associated with the Research Excellence Award highlights measurable scientific productivity, citation performance, and sustained contribution to technological research domains.[1]

Abstract

This article presents a structured academic overview of Fatma Ben Brahim and her research contributions in remote sensing and satellite imagery analysis. The profile examines publication metrics, citation indicators, and scientific engagement associated with geospatial technologies and environmental data interpretation. The analysis also evaluates the researcher’s suitability for recognition under the Global Tech Excellence Awards based on scholarly output, measurable impact, and interdisciplinary relevance within computational imaging and Earth observation sciences.[1][2]

Keywords

Remote sensing, satellite imagery analysis, geospatial data, Earth observation, environmental monitoring, image processing, spatial analytics, research impact assessment, computational imaging, scientific recognition.[2]

Introduction

The increasing significance of remote sensing technologies has transformed environmental monitoring, urban analysis, and geospatial intelligence applications worldwide. Researchers working within this domain contribute to advanced methodologies for interpreting large-scale spatial datasets generated by satellites and airborne systems. Fatma Ben Brahim’s academic profile demonstrates involvement in these scientific developments through publication activity and collaborative research outputs connected to satellite imagery analysis and computational interpretation systems.[2][3]

Academic recognition programs such as the Global Tech Excellence Awards seek to identify researchers whose work demonstrates scientific rigor, interdisciplinary influence, and measurable research visibility. Bibliometric indicators including citation counts, h-index performance, and publication consistency are commonly utilized in evaluating scholarly distinction across technical disciplines.[1]

Research Profile

Fatma Ben Brahim is affiliated with the National Engineering School of Sfax in Tunisia and has established a research portfolio associated with remote sensing and satellite image interpretation. According to available Scopus indexing data, the researcher has produced 23 indexed documents with a cumulative citation count exceeding 361 citations and an h-index of 11, reflecting moderate-to-strong scholarly influence within specialized technical domains.[1]

The research profile demonstrates engagement with interdisciplinary scientific methodologies involving geospatial technologies, computational imaging, environmental observation systems, and advanced image-processing techniques. Such areas are increasingly important within climate studies, land-use monitoring, infrastructure planning, and disaster assessment frameworks.[3]

Research Contributions

The research contributions associated with Fatma Ben Brahim emphasize analytical techniques for processing and interpreting satellite-derived datasets. Such contributions are relevant to both theoretical and applied aspects of geospatial analysis, particularly in domains requiring accurate extraction of environmental and spatial information from imagery sources.[2]

  • Development and application of remote sensing methodologies for environmental and spatial analysis.[3]
  • Research engagement in satellite imagery interpretation and geospatial information processing systems.[2]
  • Scientific collaboration contributing to multidisciplinary technological research initiatives.[1]
  • Publication activity supporting the advancement of computational imaging and Earth observation research.[4]

Publications

The researcher’s indexed publications span remote sensing, image analysis, and geospatial computational methodologies. The publication record indicates sustained participation in peer-reviewed scientific dissemination and contributes to the visibility of engineering and satellite-based analytical research from the Tunisian academic community.[1]

  1. Selected publications indexed within Scopus databases addressing remote sensing and geospatial data analytics.[1]
  2. Research outputs associated with satellite imagery processing and environmental observation systems.[3]
  3. DOI-indexed scholarly contributions relevant to computational analysis and geospatial interpretation methodologies.[4]

Research Impact

Bibliometric indicators suggest a meaningful academic presence within the domain of remote sensing and satellite imagery analysis. An h-index of 11 combined with over 361 citations demonstrates sustained referencing by the scientific community and reflects research relevance across interconnected technological disciplines.[1]

Research visibility within indexed databases contributes to broader scientific dissemination and institutional recognition. The researcher’s publication activity also supports knowledge transfer in areas related to environmental intelligence, geospatial analytics, and computational interpretation systems used in scientific and industrial applications.[2][3]

Award Suitability

The academic profile of Fatma Ben Brahim aligns with several evaluation dimensions commonly associated with international scientific recognition programs. These dimensions include publication consistency, citation influence, interdisciplinary engagement, and measurable research impact within technologically significant domains.[1]

The Global Tech Excellence Awards emphasize innovation and technical research contributions across global academic communities. The documented research activity in remote sensing and satellite imagery analysis demonstrates thematic relevance to the objectives of the award program and supports consideration for recognition within engineering and computational sciences.[5]

Conclusion

Fatma Ben Brahim’s scholarly profile reflects sustained academic engagement in remote sensing and satellite imagery analysis, supported by indexed publications, citation visibility, and interdisciplinary research contributions. The combination of publication metrics, scientific relevance, and technical specialization provides a credible basis for recognition within international academic award frameworks such as the Global Tech Excellence Awards.[1][5]

References

  1. Elsevier. (n.d.). Scopus author details: Fatma Ben Brahim, Author ID 55369796400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55369796400
  2. Assessment of carbon dynamics using remote sensing, machine learning, and cellular automata in a semi-arid region.
    https://www.mdpi.com/2076-3417/16/10/4801
  3. Potential of saline deficit irrigation to conserve water without exacerbating soil salinization in tree orchards.
    https://link.springer.com/article/10.1007/s41101-025-00446-0
  4. Assessment and prediction of irrigation groundwater suitability using traditional and artificial intelligence models in semi-arid regions: Special focus on Northern Gabès aquifer system.
    https://link.springer.com/article/10.1007/s41748-025-00694-z
  5. Global Tech Excellence Awards. (n.d.). Official Award Website and Recognition Program Information.
    https://globaltechexcellence.com/

Dr. Abhijit Das | Remote Sensing and Satellite Imagery Analysis | India

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Ibraheem Yousif | Remote Sensing and Satellite Imagery Analysis | Excellence in Research

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Prof. Ibraheem Yousif | Remote Sensing and Satellite Imagery Analysis | Excellence in Research

Cairo University | Egypt

Dr. Ibraheem A. H. Yousif is a Professor of Soil Science at Cairo University, specializing in pedology, GIS, and remote sensing applications in agriculture. He has authored over 15 peer-reviewed publications, receiving more than 81 citations with an h-index of 7, reflecting a growing international research impact. His work focuses on desertification assessment, soil quality evaluation, and sustainable land management in arid regions. Dr. Yousif has collaborated with diverse international research teams and contributed to large-scale land development projects. His research supports climate resilience, food security, and evidence-based agricultural planning in environmentally vulnerable regions.

Citation Metrics (Scopus)

150

100

50

0

Citations
81

Documents
15

h-index
7

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile    View ORCID Profile
     View Google Scholar  Profile

Featured Publications


Land capability and suitability mapping in some areas of North-Western Coast, Egypt.

–Journal of Soil Sciences and Agricultural Engineering, Mansoura University, 9(3), 111–118. (2018). Cited By: 18

Integration of land cover changes and land capability of Wadi El-Natrun depression using vegetation indices.

– Egyptian Journal of Soil Science, 59(4), 385–402. (2019). Cited By: 10

Geostatistical approach for land suitability assessment of some desert soils.

– Egyptian Journal of Soil Science, 60(3), 195–209. (2020). Cited By: 35

Kesyton Ozegin Oyamenda | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

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Assoc. Prof. Dr. Kesyton Ozegin Oyamenda | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

Ambrose Alli University | Nigeria

Assoc. Prof. Dr. Kesyton Ozegin Oyamenda is an Associate Professor at Ambrose Alli University, Nigeria, specializing in exploration and environmental geophysics with emphasis on groundwater systems, geospatial analysis, and AI-driven modeling. He has produced 15 Scopus-indexed publications with 187 citations h-index: 8, alongside broader global visibility. His highly cited works focus on groundwater potential mapping, vulnerability assessment, and geophysical modeling using GIS, MCDA, and remote sensing. He collaborates extensively with multidisciplinary researchers and has supervised postgraduate theses. His research contributes to sustainable water resource management, infrastructure planning, and environmental protection, addressing critical societal challenges in Nigeria and comparable regions.

Citation Metrics (Scopus)

300

200

100

0

Citations
187

Documents
15

h-index
8

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profille    View ORCID Profile
     View Google Scholar  Profile
     View ResearchGate Profile
  View Web of Science (WOS)  Profile

Featured Publications

Tian Gao | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

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Dr. Tian Gao | Remote Sensing and Satellite Imagery Analysis | Research Excellence Award

The Information Engineering University | China

Dr. Tian Gao is a distinguished researcher in the field of remote sensing, specializing in multimodal image matching, Arctic sea ice motion analysis, and image registration for optical and SAR imagery. He completed his graduate studies at PLA Information Engineering University, Zhengzhou, China, focusing on geospatial information and advanced computational methods for Earth observation.Gao has authored 11 peer-reviewed publications, including in top-tier journals such as IEEE Sensors Journal, ISPRS Journal of Photogrammetry and Remote Sensing, and the International Journal of Applied Earth Observation and Geoinformation. His notable contributions include the development of SFA-Net, a SAM-guided focused attention network for multimodal remote sensing image matching, and innovative approaches to sharpened side phase fusion and self-similar adjacent self-convolutional feature registration. Gao’s work also encompasses keypoint-free feature tracking for Arctic sea ice motion retrieval, DEM super-resolution using attention-based and relative depth-guided methods, and GNSS-denied UAV geolocalization. These efforts have advanced both methodological innovation and practical applications in environmental monitoring, geospatial intelligence and disaster response.His research demonstrates extensive collaboration with domestic and international scholars, reflecting interdisciplinary engagement across remote sensing, UAV imaging, and geospatial data analysis. Gao’s publications have collectively received 51 citations, highlighting the growing impact of his work in the scientific community.Beyond methodological contributions Gao’s work has significant societal and environmental relevance enabling improved monitoring of polar ice dynamics, enhancing emergency response through UAV-assisted image stitching and supporting sustainable geospatial intelligence applications. With expertise spanning optical and SAR imagery multimodal data fusion and image registration, Tian Gao continues to contribute to cutting-edge research that bridges academic innovation with real-world solutions in Earth observation and remote sensing.

Profiles: ORCID | Scopus

Featured Publications

1.Wang, Y., Lan, C., Gao, T., Yao, F., & Mu, Z. (2025). Multimodal image matching using sharpened side phase fusion method. IEEE Sensors Journal.

2.Gao, T., Lan, C., Lv, L., Shi, Q., Huang, W., Wang, Y., & Mu, Z. (2025). Robust registration of multimodal remote sensing images using self-similar adjacent self-convolutional feature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

3.Gao, T., Lan, C., Zhou, C., Zhang, Y., Huang, W., Wang, L., & Wang, Y. (2025). Arctic sea ice motion retrieval from multisource SAR images using a keypoint-free feature tracking algorithm. ISPRS Journal of Photogrammetry and Remote Sensing.  Cited By: 1

4.Huang, W., Sun, Q., Guo, W., Xu, Q., Wen, B., Gao, T., & Yu, A. (2025). Multi-modal DEM super-resolution using relative depth: A new benchmark and beyond. International Journal of Applied Earth Observation and Geoinformation.

5.Gao, T., Lan, C., Huang, W., & Wang, S. (2025). SFA-Net: A SAM-guided focused attention network for multimodal remote sensing image matching. ISPRS Journal of Photogrammetry and Remote Sensing.

Tian Gao’s research advances remote sensing and multimodal image analysis, enabling precise monitoring of Arctic sea ice, GNSS-denied UAV navigation, and environmental changes. His work bridges scientific innovation with practical applications, supporting disaster response, geospatial intelligence, and sustainable environmental management globally.

Alexandru Dandocsi | Remote Sensing | Best Researcher Award

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Dr. Alexandru Dandocsi | Remote Sensing | Best Researcher Award 

Recognised Research at National Institute of Research and Development for Optoelectronics – INOE2000, Romania

Dr. Alexandru Marius Dandocsi is a leading researcher in atmospheric science with expertise in passive remote sensing, Earth observation, and environmental data analysis. He has worked across top institutions including the National Institute of Research and Development for Optoelectronics, the European Space Agency, and the European Commission. His work spans scientific algorithm development, satellite validation, and the integration of remote sensing data into environmental policy frameworks. He has contributed to key European initiatives such as Horizon Europe and the European Green Deal, and is a core member of ACTRIS and other global research infrastructures. Dr. Dandocsi has participated in numerous international field campaigns, workshops, and scientific conferences, showcasing both his technical skills and leadership capabilities. With an impressive list of peer-reviewed publications and collaborative projects, he stands out as a multidisciplinary scientist whose work bridges science, technology, and policy. His career reflects a strong commitment to research excellence and global environmental advancement.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Alexandru Dandocsi completed his higher education in Romania, earning his PhD in Physics from the University Politehnica of Bucharest. His doctoral research focused on passive remote sensing methods for the retrieval of atmospheric gas concentrations, using instruments such as FTIR and MAX-DOAS. His thesis, written in Romanian, explored advanced methodologies to measure gas density in the atmosphere using optical remote sensing techniques. He graduated with the highest distinction, summa cum laude, which reflects his academic excellence and deep engagement with his field. His education laid a strong foundation in both theoretical and applied aspects of atmospheric physics and satellite remote sensing. Throughout his academic journey, he developed expertise in data analysis, radiative transfer modeling, and algorithm development. His educational background has been integral to his contributions to international research projects and policy-supporting scientific assessments. Dr. Dandocsi’s academic training continues to drive his innovative work in environmental monitoring and climate science.

Professional Experience

Dr. Dandocsi’s professional experience spans over a decade in high-impact roles within leading scientific institutions in Romania and across Europe. He began his career at the National Institute of Research and Development for Optoelectronics as a junior scientist, where he developed strong technical skills in operating and analyzing data from passive remote sensing instruments. He later served as a Research Fellow at the European Space Agency, where he contributed to satellite mission support, algorithm development, and coordination of scientific activities under ESA’s atmospheric research initiatives. His appointment as a Seconded National Expert at the European Commission further solidified his influence, allowing him to shape environmental policy and research agendas in alignment with EU space and sustainability objectives. Currently, he is a Recognised Researcher continuing his scientific contributions at the national and international level. Dr. Dandocsi’s career reflects a continuous upward trajectory marked by collaboration, innovation, and service to scientific advancement and environmental governance.

Research Interest

Dr. Alexandru Dandocsi’s research interests lie at the intersection of atmospheric science, environmental monitoring, and remote sensing technology. He is particularly focused on the development and validation of retrieval algorithms for passive remote sensing instruments, such as FTIR, MAX-DOAS, and solar/lunar photometers. He actively works on the integration of satellite-based data with ground-based observations to improve the accuracy of atmospheric gas measurements and aerosol characterization. His interests extend to studying the impact of human activities on air quality and climate, including assessments of greenhouse gas emissions and aerosol dynamics. He is also involved in developing tools for the calibration and validation of satellite missions such as Sentinel-5P and Aeolus, contributing to global networks like ACTRIS and EuroGEO. His interdisciplinary work bridges environmental science, physics, and data analysis, offering valuable insights for climate policy and scientific research. His work supports initiatives such as the European Green Deal and Horizon Europe.

Award and Honor

Dr. Alexandru Dandocsi has earned recognition within the scientific community for his contributions to Earth observation and atmospheric research. These competitive and prestigious positions are granted only to highly skilled scientists with proven research excellence and cross-disciplinary collaboration experience. His role in helping shape EU research and innovation policies related to the environment further highlights the trust placed in his scientific expertise. Additionally, his invitation to present at numerous international conferences and his involvement in ESA and Horizon Europe projects underline the respect he commands in the scientific field. His publications in high-impact journals and collaborations with international networks also speak to the recognition and value of his ongoing research contributions.

Research Skill

Dr. Dandocsi possesses a broad and advanced range of research skills developed through years of experience in satellite remote sensing and atmospheric science. He is proficient in programming languages such as Python and MATLAB, which he uses extensively for data analysis, algorithm development, and modeling. His technical expertise includes operating complex ground-based instruments such as FTIR, MAX-DOAS, and sun photometers, as well as analyzing data from satellite missions like TROPOMI and Aeolus. He has experience with designing and implementing scientific field campaigns, including technical preparations and instrument deployment. Dr. Dandocsi is also skilled in the development of calibration and validation procedures for remote sensing products, quality assurance assessment of scientific data, and interpretation of multi-source environmental observations. His ability to work with large datasets, combined with his understanding of atmospheric physics, makes him highly effective in applied research. He also demonstrates strong communication, problem-solving, and teamwork skills in cross-border collaborative projects.

Publications Top Notes

Title: Quantifying CH₄ emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry
Authors: A. Luther, R. Kleinschek, L. Scheidweiler, S. Defratyka, M. Stanisavljevic, …
Year: 2019
Citations: 70

Title: Multiyear typology of long-range transported aerosols over Europe
Authors: V. Nicolae, C. Talianu, S. Andrei, B. Antonescu, D. Ene, D. Nicolae, …
Year: 2019
Citations: 28

Title: Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network
Authors: A. Luther, J. Kostinek, R. Kleinschek, S. Defratyka, M. Stanisavljević, …
Year: 2022
Citations: 27

Title: Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania
Authors: L. Mărmureanu, J. Vasilescu, J. Slowik, A.S.H. Prévôt, C.A. Marin, B. Antonescu, …
Year: 2020
Citations: 20

Title: Wintertime variations of gaseous atmospheric constituents in Bucharest peri-Urban area
Authors: C.A. Marin, L. Mărmureanu, C. Radu, A. Dandocsi, C. Stan, F. Ţoancă, …
Year: 2019
Citations: 15

Title: High potential for CH₄ emission mitigation from oil infrastructure in one of EU’s major production regions
Authors: F. Stavropoulou, K. Vinković, B. Kers, M. de Vries, S. van Heuven, P. Korbeń, …
Year: 2023
Citations: 14

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities
Authors: P. Litvinov, C. Chen, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 8

Title: The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
Authors: P. Kiriakidis, A. Gkikas, G. Papangelis, T. Christoudias, J. Kushta, …
Year: 2023
Citations: 8

Title: Independent retrieval of aerosol type from lidar
Authors: D. Nicolae, J. Vasilescu, C. Talianu, A. Dandocsi
Year: 2016
Citations: 7

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison
Authors: C. Chen, P. Litvinov, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 6

Conclusion

Dr. Alexandru Marius Dandocsi is a highly deserving candidate for the Best Researcher Award due to his outstanding contributions to atmospheric science and Earth observation. His work on passive remote sensing, satellite validation, and environmental monitoring has significantly advanced scientific understanding and supported critical environmental policies at the European level. Through active participation in international research initiatives and impactful publications, he has demonstrated both academic excellence and societal relevance. With his proven expertise, collaborative mindset, and growing leadership experience, Dr. Dandocsi holds strong potential to drive future innovations and play a key role in shaping global environmental research and policy.

Mr. Zitong Wen | Remote Sensing | Best Researcher Award

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Mr. Zitong Wen | Remote Sensing | Best Researcher Award

University of Bristol, United Kingdom

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Publications

How can we improve data integration to enhance urban air temperature estimations?

  • Author: Zitong Wen, Lu Zhuo, Meiling Gao, Dawei Han
  • Journal: International Journal of Applied Earth Observation and Geoinformation
  • Year: 2025

Potential methods to improve urban air temperature estimations

  • Author: Zitong Wen, Lu Zhuo, Dawei Han
  • Journal: AGU Fall Meeting Abstracts
  • Year: 2024

Data fusion for estimating high-resolution urban heatwave air temperature

  • Author: Zitong Wen, Lu Zhuo, Qin Wang, Jiao Wang, Ying Liu, Sichan Du, Ahmed Abdelhalim, Dawei Han
  • Journal: Remote Sensing
  • Year: 2023

Estimating air temperature with high spatio-temporal resolution in urban areas during heatwaves using genetic programming algorithm combined with multi-source datasets

  • Author: Zitong Wen, Lu Zhuo, Qin Wang, Dawei Han
  • Journal: EGU General Assembly Conference Abstracts
  • Year: 2023

Rapid Flood inundation mapping using SAR data with Google Earth Engine cloud platform

  • Author: Qin Wang, Lu Zhuo, Chen Li, Miguel Rico-Ramirez, Zitong Wen, Dawei Han
  • Journal: EGU General Assembly Conference Abstracts
  • Year: 2023

Mr. Harsh Narendra Vazirani | Remote Sensing | Best Researcher Award

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Mr. Harsh Narendra Vazirani | Remote Sensing | Best Researcher Award

Harsh Narendra Vazirani at University of Sydney, Australia

👨‍🎓 Profiles

Scopus

Google Scholar

Publications

Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale

  • Authors: Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak
  • Journal: Sensors
  • Year: 2024

New Model for Optimized Searching for Image Retrieval in Digital Libraries

  • Authors: PK Tripathy, Harsh Vazirani
  • Year: 2016

An Improvement Study Report of Face Detection Techniques using Adaboost and SVM

  • Authors: Rajeev Kumar Singh, Anubhav Sharma, Alka Gulati, Harsh Vazirani
  • Journal: International Journal of Computer Science and Information Security
  • Year: 2011

Offline handwriting recognition using genetic algorithm

  • Authors: Rahul Kala, Harsh Vazirani, Anupam Shukla, Ritu Tiwari
  • Journal: arXiv preprint arXiv:1004.3257
  • Year: 2010

Evolutionary Radial Basis Function Network for Classificatory Problems.

  • Authors: Rahul Kala, Harsh Vazirani, Nishant Khanwalkar, Mahua Bhattacharya
  • Journal: Int. J. Comput. Sci. Appl.
  • Year: 2010

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

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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

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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