Accuracy of Land Cover Maps Derived From Remotely Sensed Data

Accurate knowledge of land cover and land cover change is essential for a wide range of objectives. Since the 1970\u27s, remotely sensed data have been used increasingly as a means to classify and characterize the earth\u27s land use and land cover. This project compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, QuickBird). Data from all of these sensors were classified for both urban and rural settings. The project examines accuracy levels between spatial and spectral resolution