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January 23, 2026 - GTU Office of Press and Public Relations A deep learning–based project developed by the Department of Geomatics Engineering at Gebze Technical University (GTU) is set to pioneer the creation of a digital inventory by mapping industrial poplar plantation areas across Türkiye using satellite imagery.
National Monitoring Through Artificial Intelligence and Satellite TechnologiesA doctoral thesis–based scientific study prepared by Research Assistant Muhammed Yusuf Öztürk from the Department of Geomatics Engineering at Gebze Technical University (GTU) has been awarded support under the TÜBİTAK 1002-A Rapid Support Module. Conducted under the supervision of Assoc. Prof. İsmail Çölkesen, the project aims to deliver advanced technological solutions under the title “National-Scale Mapping of Industrial Poplar Plantations Using Transferable Batch Deep Learning Models with Sentinel-2 Imagery and Interface Development.”
Innovative Deep Learning Models and User InterfaceUnder the project, the spatial distribution of industrial poplar plantation areas established across Türkiye will be identified using Sentinel-2 satellite data. Thanks to the development of transferable and generalizable batch deep learning models, precise analysis of temporal changes in these areas will be made possible. One of the most notable outcomes of the study will be an innovative user interface designed for researchers and professionals. This platform will integrate data preprocessing, thematic map production, visualization, and accuracy assessment modules into a single structure.
Strategic Inventory and Economic Value AssessmentGiven that poplar plantations are largely subject to private ownership, the project outputs will provide a strategic foundation for relevant public institutions and organizations in monitoring these areas. Based on the data obtained, the study aims to establish up-to-date national-scale inventory information and to determine the economic value of these plantation areas. |
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