Page 133 - Çevre Şehir ve İklim Dergisi - Özel Sayı
P. 133

ABSTRACT
             In our country, many institutions and organizations carry out and plan to carry out projects within the scope
             of their duties and responsibilities, which play an important role in the development of the country. Land
             cover data used in these projects are of great importance in the interpretation of the land, modeling studies,
             monitoring and evaluation analyses. With the National Land Cover Classification and Monitoring System
             (UASIS) project, it is aimed to establish a national software system that will produce land cover classes deter-
             mined in line with the needs of all stakeholders semi-automatically on a national scale with artificial intelli-
             gence and machine learning technologies and meet monitoring needs.
             Sentinel-2 satellite images and auxiliary data received from institutions are classified semi-automatically with
             artificial intelligence-based algorithms and land cover maps are created annually. With the UASIS project,
             land cover maps in 5 main classes and 79 subclasses are produced on a national scale.  While 32 classes of
             79 UASIS subclasses are created automatically, the remaining 47 classes are obtained from auxiliary data. In
             the UASIS project carried out in cooperation with the General Directorate of Combating Desertification and
             Erosion and the Scientific and Technological Research Council of Turkey Informatics and Information Secu-
             rity Advanced Technologies Research Center (TÜBİTAK BİLGEM), the 2021 National Land Cover Map is
             being produced and annual land cover map production will continue. In the pilot region studies conducted
             in Sakarya, Büyük Menderes and Eastern Black Sea Basins, the accuracy rate in automatically classified class-
             es are between 71% and 98%.
             Keywords: Land Use, Classification, Remote Sensing, Türkiye











                     Makale Atıf Bilgisi: Arslan, M. – Çakır, R. – Akyazı, İ. – Kumbasar, N. –
                                       Doğan, A. – Yavuz, E. (2024). “Ulusal Arazi Örtüsü
                                       Sınıflandırma ve İzleme Sistemi (UASİS)” Çevre, Şehir
                                       ve İklim Dergisi, Yıl: 3, Çölleşme, Erozyon ve İklim De-
                                       ğişikliği Özel Sayısı, s. (119-134)

                          Makale Türü:  Araştırma
                           Geliş Tarihi:  30.10.2024
                          Kabul Tarihi:  29.10.2024
                           Yayın Tarihi:  08.11.2024
                         Yayın Sezonu:  Kasım 2024







              132  Çevre, Şehir ve İklim Dergisi  Çevre, Şehir ve İklim Dergisi
                               Çölleşme, Erozyon ve İklim Değişikliği | Özel Sayı, | 2024
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