The study of land cover condition using landsat satellite (ETM+) data

Knowledge of the types of land cover and human activities in different regions is of particular importance as basic information for regional planning. Because of the special characteristics، remote sensing techniques are of great importance. In the present study، the ETM + satellite data of Kashan related to 10 July 2002 was used. Image enhancement was performed using enhanced contrast، color composite images، principal component analysis، and digital elevation model. To determine the best combination band for classification and color composite images، OIF and the correlations between bands were used. Monitoring method was used for classifying the data. Ground truth map was prepared by sampling and field surveys. After classifying، land cover map was obtained with an accuracy of 82. 45% in different classes. The results showed that the highest and lowest level of land use classes was related to alluvial fan with 29. 33% and puffy salty lands with 0. 11%، respectively. In this study، to detect the vegetation، vegetation indices including NDVI، TSAVI، RVI، DVI، SARVI and SAVI were used. The correlation coefficients among the indices showed that the highest correlation coefficient (Re = 0. 99) was related to NDVI; therefore، vegetation condition was assessed using NDVI index. Results indicated that the type and level of different land uses could be determined using satellite data by spending less time and money on a large scale with a high precision in a particular year or in different years.