Mapping paddy fields in large areas, based on time series multi-sensors data

In order to avoid the regionalization problem of crops discrimination in large areas, this paper proposed a novel rice extraction method by combination of time series of MODIS daily surface reflectance product (MOD09GA) and HJ-1CCD data. Using HJ-1 CCD data, parameters were extracted in rice transplanting period and growing period for the sampled area. Then rice area were mapped by distinguishing water information in transplanting period and NDVI change information in growing period using time series MODIS data. Validation of the method was conducted in Jiangsu Province and high mapping precision of 93.3% was acquired with Kappa Coefficient of 0.88.