Levent GENÇ, Hakan TURHAN, Burak AŞAR, Melis SAÇAN

Arazi örtüsünün Landsat TM uydu görüntüleriyardımıyla belirlenmesi

Bu çalışmada, Bozcaada ilçesi arazi örtüsü haritaları, 2006, 2007 ve 2008 yıllarına ait Landsat uydu görüntülerikullanılarak elde edilmiştir. Çalışmada orijinal görüntülerin (6 band Landsat TM) yanında, görüntü işleme tekniklerikullanılarak oluşturulan yeni görüntüler de kullanılmıştır. Ana bileşenler analizi (AB), normalize edilmiş vejetasyonfarklılık indeksi (NDVI) ve Tasseled Cap (TC) dönüşüm yöntemi ile birlikte toplam on görüntü, kontrollü sınıflamayardımıyla sayısal harita haline getirilmiştir. Arazi örtüsü haritaları için arazi çıkışlarında toplanan verilerden vemevcut yüksek çözünürlüklü Formasat (2 m yersel çözünürlüklü) uydu görüntüsünden yararlanılarak doğrulukanalizi yapılmıştır. En yüksek ortalama sınıflama doğruluğu 3 band AB analizinden elde edilen görüntü içinbulunurken, en düşük ortalama sınıflama doğruluğu her üç yılın NDVI görüntüsünden elde edilen birleştirilmişgörüntüden hesaplanmıştır. Üç yılın orijinal görüntüleri birleştirilerek oluşturulan 18 band Landsat görüntüsü ve yineüç yıl için ayrı ayrı hesaplanan TC görüntüsünün ilk üç bandından oluşturulan 9 band TC görüntülerinin yüksekoranda ortalama sınıflama doğruluğuna sahip olduğu belirlenmiştir. Bozcaada benzeri bitki örtüsüne sahip alanlardaarazi örtüsü belirleme çalışmalarında, çok yıllık NDVI görüntüleri yerine AB analizi ve TC analizi kullanarakoluşturulacak sayısal haritaların daha yüksek doğruluğa sahip olacağı hesaplanmıştır..

Determination of land cover using Landsat TM imagery

In this study, land cover maps of Bozcaada district were developed using Landsat satellite images obtained in 2006,2007 and 2008. In addition to original images (6 band Landsat TM), the new images constituted with imageprocessing techniques were also used. A total of ten images were formed by supervised classification method usingprincipal component analysis (PCA), normalized difference vegetation index (NDVI), and tasseled cap (TC)transformation methods. Accuracy analysis were conducted for land cover maps using the data obtained in land andhigh resolution Formasat (2 m spatial resolution) satellite images. While the highest average classification accuracywas for 3 band image obtained by PCA, the lowest average classification accuracy was for the image obtained bycombining the NDVI images of three years. It was found that the highest average classification accuracies werecalculated for the image that was formed by the combination of 18 band Landsat images acquired in three years, and 9band images formed by the first three bands of TC images. It was calculated that, the digital maps formed by usingPCA and TC analysis have higher accuracies than that of multi-year NDVI images in the determination of land coverfor Bozcaada and similar locations.

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