Abstract: Black soil area of Northeast China is one of the most important marketable grain bases in China, but serious soil loss resulted in crucial challenge to the marketable grain production. This paper, supported by Remote Sensing and Geographic Information System, chose typical black soil area of Northeast China which is located in the scope of Wuyuer and Nemoer river basins as a study case and took SPOT 5 as data source, obtained gully distribution data in 2005. Based on the gully distribution data, the gully erosion status of the study area was evaluated. Using 1:50000 relief maps as data source, DEM was obtained by interpolation and then 11 topographic factors related with the gully formation were extracted. Based on gully data and eight no multi-colinearity topographic factors, the Logistic regression model was built. With the model, the risk of the gully erosion was evaluated and the risk classification evaluation of gully erosion was also done. The results showed that the total number of gully was 14184, the gully density was 322.11 m/km² and the area of eroded cultivated land was 100.36 km² in the study area. The risk map of gully erosion evaluated by Logistic model was identical with gully distribution in the study area. The high danger regions were mainly located in the northeast of Baiquan, middle of Kedong, east of Keshan, north of Nehe, middle of Beian and west of Wudalianchi. The low danger regions were mainly in the northeast low hilly region, the southwest plain and the bank region of Nemoer and Wuyuer rivers. When taking the value of 0.4 as gully dividing point, 73% of the gullies in the study area were formed in the high risk regions. In a word, the evaluation result can reflect the risk status of gully erosion. Furthermore, with the aid of the map and table of risk classification evaluation of gully erosion, this paper can get the area, pattern and characteristics of different risk classification of gully erosion. Based on the results, it can identify the serious erosion area and provide the scientific suggestion for the erosion prevention and management.