A New Method to Distinguish between Irrigated Dry Land and Rain-Fed Dry Land using Multi-Temporal MODIS and Ancillary Data: An Application Example in China

摘要

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.