ABSTRACT
In this study, an application was carried out on mapping of Histosols by using remote sensing data. The study area was located in Isparta, Turkey. The images obtained by the Landsat 7 ETM+ sensor were used for processing. An implementation of the climate model that based on the water index was used ERDAS Imagine software together with pixel based image classification. Soil Moisture Index (SMI) was modeled by using surface temperature (Ts) which was obtained from thermal band and vegetation index (NDVI) derived from Landsat 7 ETM+ data. The image was grouped according to surface moisture values and mapped by using a scoring system. Thematic maps were compared with field studies. Consequently, different moisture levels for Histosols were unique tools for the detection of organic soil separation. Thermal bands of Landsat 7 ETM+ are available for mapping of Histosols using moisture and temperature models.
