Map Asia 2008 Kuala Lumpur, Malaysia ©GIS Development Study on Land Use in Industrial and Green Production Zones of Ulaanbaatar City using Quickbird Image D.Amarsaikhan 1 , H.H.Blotevogel 2 and B.Chinbat 3 1 Institute of Informatics and RS, Mongolian Academy of Sciences av.Enkhtaivan-54B, Ulaanbaatar-51, Mongolia E-mail: amar64@arvis.ac.mn 2 Dortmund University of Technology, Faculty of Spatial Planning Institute of Spatial Planning August-Schmidt-Str. 10, D-44221 Dortmund Tel: 49-231-755-2376, Fax: 49-231-7554788 Mail: hans.blotevogel@tu-dortmund.de 2 Faculty of Geography and Geology National University of Mongolia, Ulaanbaatar, Mongolia E-mail: chin_bat2002@yahoo.com Keywords: Satellite image, Industrial zone, Green production zone Abstract: The aim of this study is to demonstrate the use of a very high resolution satellite image for a detailed study in industrial and green production zones of Ulaanbaatar, the capital city of Mongolia. For this purpose, the sites representing the selected land use classes are selected in different locations of Ulaanbaatar city. For the analysis, SPOT 5 and Quickbird images are used and different image enhancement techniques are applied. The analysis was carried out using Erdas Imagine and ArcGIS installed in a PC environment. 1. Introduction In recent years, the urbanization and urban sprawl have become the common problem in both developed and developing countries. For example, within the last two decades, Ulaanbaatar city, Mongolia has been significantly expanded and changed due to different development activities as well as migration of people from rural areas. To control the urban environment, urban planners need to have detailed spatial information indicating where is what, and analyse the existing land use patterns and predict the future scenario [1,5]. Over the past few years, RS techniques and technologies, including system capabilities have been significantly improved. Meanwhile, the costs for the primary RS data sets have drastically decreased. Now the highest spatial resolution image can be acquired with a cm- accuracy, while the ordinary high resolution images can be acquired with a few meter accuracy. This means that it is possible to extract from RS images, different thematic information of varying scales to be used for rapid urban related decision-making processes. In recent years, although there have been many functional and structural changes, in the current Ulaanbaatar city one can observe the most common land use classes such as residential, commercial, industrial and green areas. As the thorough investigation of each of these classes requires a large scale study, in the present study we wanted to concentrate only on the land use analysis of industrial and green production zones. For this purpose, the sites representing these zones have been selected in different parts of Ulaanbaatar city and for the analysis, SPOT 5 and Quickbird images have been used. The analysis was carried out using Erdas Imagine and ArcGIS installed in a PC environment.