Abstract: In this paper, the data source are GF-1 and GF-2 images covering the modern Yellow River delta, we developed a Spartina alterniflora information extraction method which combined the spatial position with decision tree classification.Firstly, based on the characteristics of Spartina alterniflora suitable for growing in the climax with the lower part to middle tidal with the lower region, using humidity component of tasseled cap transform of Landsat 5 remote sensing image acquired in climax, through binarization processing and vector post-processing to extract modern Yellow River delta Spartina alterniflora growth landward boundary, and then mask the Spartina alterniflora growth area of the GF images; Finally, using decision tree classification method to extract growth area of Spartina alterniflora.The experiment shows that the proposed method can more accurately identify and extract Spartina alterniflora information, the overall classification accuracy of 97.05%.By statistics and analysis of the distribution of Spartina alterniflora, we found the whole modern Yellow River delta total area of Spartina alterniflora about 3278.1100 hm², mainly distributed in the west of previous flow path of the Yellow River, Wuhaozhuang, the southeast side of Gudong oilfield and both sides of the Yellow River current estuary four regions, of which the Spartina alterniflora area of both sides of the current Yellow River estuary is widest, accounting for modern Yellow River delta Spartina alterniflora total area of 91.39%; followed by Gudong oilfield southeast and Wuhaozhuang, the proportion is 6.22% and 1.59%;the area of Spartina alterniflora in the west of previous flow path of the Yellow River is smallest, approximately 26.1527 hm².