Deriving land use and land cover maps from 2.5m SPOT 5 imagery

Abstract

[Abstract]: The major component in creating land use and land cover maps is satellite imagery. Currently resolutions of up to 25m imagery are used to create these maps. With the availability of higher resolution satellite imagery this dissertation investigates the classification of land use and land cover from a remotely sensed SPOT-5, 2.5m resolution colour image. The satellite imagery used in this study was supplied by the Condamine Alliance, a regional natural resources management body. The image is covers a 60km by 60km area of the western Darling Downs region of Queensland. This area is predominately used for agricultural and grazing. Classification of the SPOT-5 image will be accomplished using pixel-based classification methods. These will include both supervised and unsupervised classification techniques. Classification was accomplished using Idrsi Andes Image processing software. This dissertation details a procedure to create land cover or land use maps from SPOT-5 high resolution satellite imagery.