Publishing Date: 2007

E-ISSN: 2147-9364

Volume 22 Issue 3


The aim of the study is to compare the Ikonos, Aster and Landsat 7 ETM+ data on magnesite research by applying all kind of classifications and filtering techniques. All processes were performed in Arc GIS 8.2 and TNT Mips 6.4 GIS-RS environment. As a results of the all processes performed in these satellite images, “ Isodata,K means, Adaptive and Fuzzy C means” unsupervised classifications and “Edge detection” filtering technique were found most helpful for determination of the magnesite rich areas. All results were checked by ground truth and final supervised classifications were made according to GPS data of the samples. In addition to that the Ikonos satellite image is found more capable for detecting magnesite rich areas because of its high resolution.

Key Words: Ikonos; Aster; Landsat; classification; filtering

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