Comparing accuracy of classified Landsat data with land use maps reclassified from the stand type map
Yazarlar (5)
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Sedat Keles Karadeniz Technical University, Türkiye
Günay Cakir Karadeniz Technical University, Türkiye
E. Zeki Baskent Karadeniz Technical University, Türkiye
Selahattin Köse Karadeniz Technical University, Türkiye
Bildiri Türü Tebliğ/Bildiri Bildiri Dili İngilizce
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
Kongre Adı 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
Kongre Tarihi 05-07-2006 / 07-07-2006
Basıldığı Ülke Portekiz Basıldığı Şehir Lizbon
UAK Araştırma Alanları
Orman Hasılatı ve Amenajmanı
Özet
A key step in natural resource management is the delineation of land units that are similar relative to type, structure, and productivity of vegetation in a given area. This is accomplished by land classification system on the basis of satellite images with appropriate specifications that serves as an essential database for forest management planning. Managing forests on an ecosystem basis relies upon accurate estimation of forest land classification that responds in a similar manner to management practices. The integration of remotely sensed data into a GIS offers a wide variety of new perspectives and possibilities for the analysis, evaluation and interpretation of such data, in combination with auxiliary digital information maps. The aim of this study is to compare accuracy of classified data with land use maps reclassified from the stand type maps. Two forest planning areas, Artvin and Bulanıkdere Forest Planning Unit (FPU) in Turkey, were selected as case study areas. Two land use maps were produced using Landsat ETM+(2000) data and reclassified the stand type maps. The results suggest that accuracies of classified Landsat ETM+ for Artvin and Bulanıkdere FPU are 82.14 and 88.75%, respectively. Later, classified Landsat ETM+ data were converted to vector database. Landsat ETM+ data and reclassified stand type maps were overlaid the appropriate spatial analysis carried out using GIS. As a result of spatial analysis, accuracy of vectorized Landsat ETM+ data is around 5-10%, lower than classified Landsat ETM+ data. In addition, according to land use map derived from stand type map, accuracy of land use map derived from Landsat ETM …
Anahtar Kelimeler
Accuracy | Forest management planning | Landsat | Supervised classification
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Scopus 2
Google Scholar 7

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