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Accurate information on the extent of irrigated dry land and rain-fed dry land is fundamental to many aspects of human existence and agricultural water resource sustainable development. This paper proposes a new method for distinguishing between irrigated dry land and rain-fed dry land. It chooses three kinds of classification features which are Fourier components feature, fractal texture feature and terrain feature and then uses classification algorithm called GA optimized BP-ANN. Results show that the method this paper proposed is feasible and the accuracy of this result is much higher than others such as USGS's and IWMI's.