Presentation of Algorithm for Reconstruction of the Damaged Images Due to not Working the Scan Line Corrector (SLC) of Land Sat 7 Satellite, ETM+ Sensing and Use it in Preparing Land Use and Land Coverage Maps Case study: Zanjan Area

Since the Scan line corrector (SLC) of land sat 7 satellite, ETM+ sensing was stopped on 31.05.2003, therefore the received images from this time forward has some disorders, so that in these images, only 36 kilometers (1200 pixels) at the central part of each pass has no defect and whatever closes to the pass margins, the hollow space or lost area between scan lines of the two surveying bands gradually increases, and reaches to 14 pixels which produces some difficulties in processing and using these images.With respect to the wide and variety use of land sat satellite images in different fields of geosciences, numerous methods have been presented up to now for removing this problem, including the replacement method of lost Scan lines by using the data of other satellites, adapter and interpolation filters which each one, depending on their usage have some advantages and disadvantages.In this paper, by the use of continuous survey method of land sat satellite data and the required statistical calculations, the damaged images were reconstructed. For ensuring the results of applying this algorithm, the maps of the land use and coverage of Zanjan area were prepared. The obtained results show the high accuracy of this method in comparing with pervious methods and through using this algorithm, in addition to reconstruct the defect images; it is possible to process them for different usages in geo science.