Classification of Tree and Shrub Species in KSU Research and Application Forest in Kahramanmaras, Turkey
Yazarlar (3)
A. E. Akay
Faculty of Agriculture, Türkiye
Faculty of Agriculture, Türkiye
Prof. Dr. İsmail Rakıp KARAŞ Gyte, Türkiye
R. Gundogan Kahramanmaras Sütçü Imam Üniversitesi, 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 | ISPRS 10th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS’07) | ||
| Kongre Tarihi | 12-03-2007 / 14-03-2007 | ||
| Basıldığı Ülke | İsviçre | Basıldığı Şehir | Davos |
| UAK Araştırma Alanları |
Bilgi Sistemleri
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| Özet |
| During the last few decades, remote sensing and Geographic Information Systems (GIS) technologies have become increasingly important tools for mapping, inventorying, and monitoring forest resources around the world. Using remotely sensed aerial images or digitized aerial photographs and GIS techniques to organize and analyze significant amount of spatial data, it is now becoming possible to analyze the number of variables (tree species, size and density, volume and height, growth, and etc.) for ecological and economic management of forests. Large-scale satellite images with good details are widely used in digital image processing and classification. The main purpose of this paper was using automated image processing and classification methods based on a satellite imagery to identify vegetation types in KSU Research and Application Forest in Kahramanmaras, Turkey. |
| Anahtar Kelimeler |
| Classification | Forestry | Image processing | Remote sensing | Vegetation identification |
