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- Yüksek Lisans TeziAçık Erişim2023Uzaktan algılama teknikleri ile üretilen tematik haritalar yardımıyla zamansal değişimin belirlenmesinde Corine ve Lucas yöntemlerinden yararlanılması: Trabzon ve Paris örneği
Suzan Sadık
Bu çalışmasının amacı; uzaktan algılama teknikleri ile üretilen tematik haritaların zamansal değişim ve doğruluk değerlendirmesinin yapılabilmesi amacıyla, LUCAS ve CORINE veri tabanlarından faydalanılmasıdır. Çalışma alanı olarak Trabzon'un Ortahisar ilçesi ile Fransa'nın Paris şehri ve çevresi seçilmiştir. Uygulama aşamasında, Ortahisar için; 2007, 2014, 2018 ve 2022 tarihli LANDSAT görüntüleri, 2018 ve 2022 tarihli SENTINEL görüntüleri, Paris ve çevresi için; 2013, 2015 ve 2018 tarihli LANDSAT görüntüleri kullanılmıştır. Tüm uydu görüntülerine kontrolsüz ve kontrollü sınıflandırma işlemi, ardından doğruluk analizi işlemi uygulanarak kappa istatistik değeri ve genel doğruluk belirlenmiştir. Çalışma alanlarının AÖ/AK dağılımının tespiti için uydu görüntüleri LUCAS ve CORINE sınıflandırma sistemine göre sınıflandırılarak bilgi sınıfları elde edilmiştir. Ardından, bilgi sınıflarının yıllar içerisinde meydana gelen değişimini belirlemek amacıyla değişim analizi işlemi uygulanmıştır. Sonuçların tematik doğruluğunun belirlenebilmesi için, sınıflandırılmış görüntüler LUCAS veri tabanına ait öznitelik veriler ve CORINE veri tabanına ait raster veriler ile karşılaştırılmıştır. CORINE verileri ile karşılaştırma yapabilmek için, sınıflandırılmış görüntüler en küçük haritalama birimi 25 hektar'a genelleştirilmiştir. Paris ve çevresini kaplayan alan için LUCAS verileri ile kıyaslama yapabilmek amacıyla arazi çalışmaları sonucu üretilen mevcut noktasal veriler kullanılırken, Ortahisar için bu veriler mevcut olmadığından çalışma alanı içerisinde belirlenen noktaların AÖ/AK sınıfları yüksek mekansal çözünürlüklü PlanetScope görüntüsü kullanılarak tespit edilmiştir. Son aşamada GEE kullanılarak çalışma alanlarının her ikisi için NDBI ve NDVI indeksleri hesaplanmıştır.
- MakaleYalnız künye2020Light rail line design for East Black Sea region: A case study of Trabzon
Reis, Hatice Catal; Birinci, Abdulkadir
Growing cities need to improve transportation in response to the accessibility needs of ever-expanding urban and metropolitan populations. Metropolitan Municipalities have to find low-cost, nature friendly, bus/train/subway transfer, and socially responsible transportation solutions that can meet the accessibility needs of urban residents and assist future economic development in urban areas. In this study, the light rail network was designed for the province of Trabzon by using orthophoto and Landsat satellite images. While this light rail network is being constructed, many criteria such as regional population density, slope, minimum service interval, integration with other transportation networks, geological structure, and proximity to public institutions and organizations have been used together. These criteria are shown with a GIS-based design model. Analysis maps were created by using the conditions/criteria and synthesis maps used in the design model. The 102 km route features 205 stops, extending from Of along to Besikduzu. A combined bus and light rail network will significantly improve public transport access to major public institutions and organizations, sporting and entertainment facilities, universities, schools, health precincts, bazaars, shopping malls. It is foreseen that the light rail system will provide the most suitable, modern, fast, comfortable and safe transportation in the long term considering the number of passengers and many other criteria. This light rail system designed for the province of Trabzon is thought to be a pioneering work for the Black Sea region through the interpretation of the resulting map and route networks.
- MakaleAçık Erişim2020OPPORTUNITIES PROVIDED BY REMOTE SENSING DATA FOR WATERSHED MANAGEMENT: EXAMPLE OF KONYA CLOSED BASIN
Yagmur, Nur; Tanik, Aysegul; Tuzcu, Aylin; Musaoglu, Nebiye; Erten, Esra; Bilgilioglu, Baha
Remote sensing data provides great opportunities in various steps of watershed management like characterization of watersheds that bear dynamic structure with large land, monitoring the physical variations within the basin, and conducting various scenario analyses to detect the response of the basin. The high resolution capacity of today’s satellite images enables the production of land use/cover data of a basin in shorter period of time. In this study, it is aimed to demonstrate various aspects of remote sensing technology to be used in watershed management studies. For that purpose, MODIS, Landsat and Sentinel satellite data with different spatial resolutions were used to monitor the surface water bodies in Konya Closed Basin (KCB) of Turkey. In addition, high spatial Worldview-3 satellite data were used to extract detailed information about Akgol Wetland located in KCB. A methodology was developed on the utilization of remote sensing technology consisting of 3 main groups; field surveys, satellite images and ancillary data. In the study, 5 different spectral indices were applied to Sentinel 2 data to determine the areas of surface water bodies. Moreover, Support Vector Machine (SVM) method was applied to Worldview-3 satellite image to classify Akgol Wetland and its vicinity. The importance of establishing watershed information system together with a database reflecting the characteristics of watersheds was underlined. Various examples were given from KCB that is known as the largest closed basin of the country with a surface area of 5.426.480 ha. The basin owns 17 water bodies out of which 2 of them are RAMSAR sites. Within the scope of the study, information obtained from optical and synthetic aperture radar (SAR) satellite images in the basin were discussed. More accurate results were achieved by Sentinel 2 than MODIS and Landsat data. In addition, detailed information about the wetland were extracted by means of Worldview-3 data and water bodies were monitored in all weather conditions via Sentinel 1 SAR data.
- MakaleAçık Erişim2020Comparison of tree-based classification algorithms in mapping burned forest areas; [Primerjava drevesnih algoritmov razvrščanja pri zajemu območij pogorelih gozdov]
Matci, Dilek Kucuk; Comert, Resul; Avdan, Ugur
In this study, we compared the performance of tree-based classification algorithms – Random Forest (RF), Rotation Forest (RotF), J48, The Alternating Decision Tree (ADTree), Forest by Penalising Attributes (Forest PA), Logical Analysis of Data Algorithm (LADTree) and Functional Trees (FT) – for mapping burned forest areas within the Mediterranean region in Turkey. Object-based image analysis (OBIA) was performed to pan-sharpened the Landsat 8 images. Four different burned areas, namely Kumluca, Adrasan, Anamur, and Alanya, were used as study areas. Kumluca, Anamur, and Alanya regions were used as training areas, and Adrasan region was used as the test area. Obtained results were evaluated with confusion matrix and statistically significant analysis. According to the results, FT and RotF produced more accurate results than other algorithms. Also, the results obtained with these algorithms are statistically significant.