USING IKONOS HIGH RESOLUTION REMOTE SENSING DATA FOR LAND USE CLASSIFICATION IN CHINA 
Georg BARETH 
Current address: 
China Agricultural University 
Sino-German Project, Department of Plant Nutrition, College of Agricultural Resources & Environmental Sciences 
Beijing, 100094, P.R. CHINA, Tel/Fax: ++86-10-6289-3423/3539, E-mail: bareth@gmx.de 
University of Hohenheim 
Department of Agricultural Economics (410 A), Sub-Group: Applied Computer Technologies in Agriculture 
70593 Stuttgart, GERMANY, Tel/Fax: ++49-711-459-2544/3481, E-mail: bareth@uni-hohenheim.de 
KEY WORDS: IKONOS, DGPS, GIS, Land Use Classification, Sustainable Agriculture, Beijing, China 
ABSTRACT 
The Sino-German Project between the China Agricultural University and the University of Hohenheim, Germany, focuses on sustainable 
agriculture in the North China Plain. In the first phase of the project, an experiment field has been established near Beijing to investigate 
different agricultural practices and their impact on harvest and environment. Researchers from several departments are involved in the 
project: Agricultural Economics, Agricultural Informatics, Vegetable Science, Landscape Ecology, Phytomedicine, Plant Nutrition, Plant 
Production and Soil Science. Apart from the field experiment, the project focuses on regional modeling. For the surrounding area of the 
experiment site, IKONOS high resolution satellite data were chosen to produce an accurate land use map in macro scale. For the 
georeferencing of the image, a DGPS field campaign was carried out. This paper presents the aims, the problems, and the method of 
the production of large scale land use data in China. 
data (www.space-imaging.com) was chosen for land use 
classification in a large scale. The set up of a spatial information 
system and the production of land use data from satellite images 
in a large scale in China faces five major problems: 
• Information about large scale data 
• Access to large scale data 
• Information about map projections and coordinate systems 
• Access to highly accurate ground control points 
• Data policy 
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