| Yazarlar |
Prof. Dr. Fatih SİVRİKAYA
Kahramanmaraş Sütçü İmam Üniversitesi, Türkiye |
Sedat Keleş
Çankırı Karatekin Üniversitesi, Türkiye |
|
Günay Çakır
Gümüşhane Üniversitesi, Türkiye |
|
Selahattin Köse
Karadeniz Teknik Üniversitesi, Türkiye |
|
Emin Zeki Başkent
Karadeniz Teknik Üniversitesi, Türkiye |
| 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 Bulanikdere 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 Bulanikdere 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+ data is 64.2% in Bulanikdere FPU and 44.2% Artvin FPU. These differences are resulted from slope and vegetation homogeneity of case study areas, and geometric accuracy. |
| Anahtar Kelimeler |
| Accuracy | Forest management planning | Landsat | Supervised classification |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| 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 |
