Paddy rice is one of the main crops in China.Timely information acquisition of rice planting area and spatial distribution at a large scale is of great significance in guiding rice production and regulating regional balance of supply and demand.In order to obtain paddy field area of Jiangsu Province,three types of vegetation indexes(including NDVI(normalized difference vegetation index),EVI(enhanced vegetation index),and LSWI(land surface water index)) are calculated by using the MODIS09A1 data from 2009 to 2011.Based on the temporal variation characteristics of EVI in different growth stages of rice,the key growth period of rice area extraction extracts is determined.According to the characteristics of rice transplanting period with high soil moisture,NDVI,EVI and LSWI are used to identify potential planting area of rice.The linear spectral mixture model is applied to decompose the mixed pixel of potential rice area,and the rice spatial distribution is obtained in Jiangsu Province from 2009 to 2011.Finally,selecting the typical sample area of rice,the rice planting area and spatial distribution are extracted by using HJ-1 CCD(30 m) data,and the results are used as reference data to verify the extraction accuracy.Meanwhile,the statistical rice planting area of Jiangsu Province from the statistical department is also used to verify the rice area.The error is within 10% by two methods of the statistical data and HJ-1 CCD(30 m) data.The research shows that it can more accurately extract a large range of rice planting area by using MODIS09A1 data and the linear spectral mixture model.