The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:This paper describes the methodology and results of classifications of Landsat TM data of the Istanbul for the years 1987 and 2007.
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Temel Bulgular & Veri:When the obtained classification results are evaluated as a result of, the 1987 Landsat image overall accuracy of 79 % and a kappa value of 0.76, the 2007 Landsat image overall accuracy of 83.50% and kappa value of 0.81.
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Sonuç & Katkı:The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
🔬Tür:Araştırma Makalesi
📍Kapsam:2007 Verileri
⚙️Değişkenler:: Remote sensing · Land cover/Land use · GIS
Abstract
This paper describes the methodology and results of classifications of Landsat TM data of the Istanbul for the years 1987 and 2007. Nine different land cover/use categories have been used, named built-up area, cropland, barren ground, grassland, scrub/brush, water, ever green, deciduous, cloud and others uses. When the obtained classification results are evaluated as a result of, the 1987 Landsat image overall accuracy of 79 % and a kappa value of 0.76, the 2007 Landsat image overall accuracy of 83.50% and kappa value of 0.81. Thus, Istanbul's change analysis was revealed that the 20-year period. The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
BÜYÜKSALİH, İ. (2016). Landsat Images Classification and Change Analysis of Land Cover/Use in Istanbul. International Journal of Environment and Geoinformatics, Cilt: 3 - Sayı: 2, 56–65. https://ajindex.com/articles/672650
Alpar, B., Gazioglu, C., Altinok, Y., Yücel, ZY., and Dengiz, Ş. (2004). Tsunami hazard assessment in Istanbul using by high resolution satellite data (Ikonos) and DTM. XXth Congress of the ISPRS, Istanbul, 2004.
Algan, O., M Namık Yalçın, Mehmet Özdoğan, Yücel Yılmaz, Erol Sarı, Elmas Kırcı-Elmas, İsak Yılmaz, Özlem Bulkan, Demet Ongan, Cem Gazioğlu, Atike Nazik, Mehmet Ali Polat, Engin Meriç (2011). Holocene coastal change in the ancient harbor of Yenikapı–İstanbul and its impact on cultural history. Quaternary Research, Vol.76 (1), pp.30-45.
Bauer, M.E., Yuan, F., Sawaya. K. E. (2003). Multi-temporal Landsat Image Classification and Change Analysis of Land Cover in The Twin Cities (minnesota) Metropolitan Area MutiTemp-2003, Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images. Ispra, Italy. Cohen, W. B. and Goward, S. N. (2004). Landsat's role in ecological applications of remote sensing. Bioscience, 54(6), 535-545.
Conghe, S., Curtis, E., Woodcock, K. C. S., Lenney, M. P., and Scott, A. M. (2001). Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? Remote Sensing Environment: 75:230–244.
Çoban, H. Oğuz., Koç, A. (2008). Sınıflandırma sonrası karsılastırma tekniği kullanılarak heterojen yapıya sahip ormanlardaZamansal Değişimlerin Belirlenmesi Süleyman Demirel Üniversitesi Orman Fakültesi Dergisi, Seri: A, Sayı: 1, Yıl: 2008, ISSN: 1302-7085, S: 72-84.
Erdin, K., Koç, A., Yener, H. (2002). Remote sensing data in monitoring of relations between forest and settlements areas, 3rd International Symposium Remote Sensing of Urban Areas, Proceedings Volume II, Tüyap-Istanbul, Turkey, pp 600-608.
Gazioğlu C., Burak, S., Alpar, B., Türker, A. and Barut, IF. (2010) Foreseeable impacts of sea level rise on the southern coast of the Marmara Sea (Turkey), Vol.12(6), pp. 932-943,
Water Policy. Günlü, A., Keleş, S., Kadıoğulları, A., Başkent, E. Z. (2011). Landsat 7 ETM+ Uydu Görüntüsü Yardımıyla Arazi Kullanımı, Meşcere Gelişim Çağı ve Meşcere Kapalılığın Tahmin Edilmesi; Kastamonu-Kızılcasu İşletme Şefliği Örneği, Ulusal Akdeniz Orman ve Çevre Sempozyumu, Kahramanmaraş. Günlü, A., Sivrikaya, F., Başkent, E. Z., Keleş, S., Çakir, G., Kadiogullari, A.İ. (2008). Estimation of Stand Type Parameters and Land Cover Using Landsat-7 ETM Image: A Case Study From Turkey, Sensors, 8: 2509-2525.
Houghton. Hoffer, RM. (1978). Biological and Physical Considerations in Applying Computer- aided a