Akademik Veri Yönetim Sistemi
21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008, Beijing, Çin, 3 - 11 Temmuz 2008, cilt.37, ss.1607-1611
The population growth in the Greater Istanbul Municipal area is causing several changes of the build up parts. Often these changes are not legal. Especially in the protected water catchments areas illegal housing is critical and are not accepted by the municipality. Due to the legal situation a close to on-line detection of new buildings is necessary. In addition information for urban planning is required. For these reasons the municipality area of 5378 km2 is investigated regularly by means of satellite imagery. In addition also the surrounding Marmara region is inspected because of its influence to the development of the Greater Municipality area. The analysis of the changes is based on a time serious of Landsat images, giving an overview of the land classes, supported by a complete coverage of the Marmara region by SPOT 5 supermode pansharpened images and IKONOS scenes covering the municipality area, taken every 3 months. Based on pansharpened IKONOS images, shape files including all buildings of the Greater Istanbul Municipality area have been generated. For controlling illegal housing and as base for urban planning a time serious of IKONOS scenes with 3 months repetition rate has been used starting in June 2005. With approximately 10 scenes the whole area of Greater Istanbul Municipality is covered. In the case of partial cloud coverage additional images are ordered. The ground resolution of 1m did not allow an automatic identification of new buildings. Often the buildings are too small and partially they are under construction or in preparation. Changes of the vegetation and the atmosphere are fundamental so that automatic change detection is not possible with very high resolution space images. Especially, due to the different length of shadows a reliable result can not be achieved by the automatic mode. The whole procedure of information acquisition by automatic classification, manual inspection, and periodic update is operational and only possible in using high resolution space images.