期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI-7/C50
出版社：Copernicus Publications
摘要：During the last few decades, remote sensing and Geographic Information Systems (GIS) technologies have become increasingly important tools for mapping, inventor ying, and monitoring forest r esources 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 pur pose of this paper was using automated image processing and classification methods based on a satellite imager y to identify vegetation types in KSU Research and Application Forest in Kahramanmaras, Turkey
