Fractal dimension can effectively describe complex textural features. The traditional automatic classification of remote sensing is mainly based on the spectrum feature information of data, which is difficult to utilize the textural information of remote sensing image throughly and effectively. With the wide application of HR remote sensing data in recent years, problems such as how to quantize textural features, how to classify ground objects according to their respective textural features are arousing many scholars’ concern. Based on the comparison of different effects of operator extraction on different edges, the study takes edge extractions on Quickbird data of four kinds of typical land cover types, and calculates dimensions of image sample boxes on the platform of Matlab. It is found of significant difference for box dimensions of these land cover classifications by comparison, thus fractal dimension can be utilized to quantize textural features of remote sensing images and by which, different land cover types can be classified effectively.

RS and GIS are a helpful tool to measure the soil erosion, to quickly monitor the dynamic changes in soil erosion distribution and extent. This paper, based on a case study of the upstream of Fenhe Reservoir in Yellow River, applies the Remote Sensing data of Landsat MSS (1976), TM (1990) and ETM+ (2002) to dynamically monitor the land erosion with the results indicating that the soil has been eroded extensively during 1976 to 1990, and turned to a good condition in general during 1990 to 2002, but still worsening locally. It is a big task to maintain the water and soil.

This paper gives a detailed description of the establishment of 1:10 000 updated land utilization survey database in Xuanen county, illustrates the data collection, topological establishment, and data compilation during the process of database completion, introduces the database structure and expects the application of this database.