Using unsupervised classification to determined land cover northren of Ninvah provianec by using Remote sensing Techniques

Abstract

The study was conducted in ten calcareous soil locations at Nineveh provenance / northern Iraq depending on three satellite images Landsat 7 TM have been taken in 2005, 2007 and 2010 which calculated the values of vegetation indices (VI, NDVI, SAVI,).These locations are lies between two coordinates Longitude 43°11- 27=, 43°30- 26= E and latitude 36°27 -18=, 36°32 -46= N. In order to determine the role of land uses on pedogenic Properties and then formation and development of calcareous soils. Figure (1). The results of the interpretation of satellite image using unsupervised classification method to the existence of (9) classes in study area for the Land uses. this results of directed with field visit results were merged with each other to the presence of minor differences with the fact where the classes became (6) which it was a best than other classifications, The Results of unsupervised Classification at other locations showed increase in green spaces distribution for the Image captured in 2005 (Class 1), which amounted (49.36) km2, while it was less for (class2) representing grazing land in the same year amounting to (23:30) km2. Then followed by 2010 image which the green space was (31.53) km2, while the class1 amounted (14.39) km2 for the image captured in 2007, but these mentioned recently observed in an increase in the space that represents the land undeveloped for grazing (Class 2) which reached (45.11) km2 table (3).