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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

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2 Author(s)
Tingting Dong ; Liaoning Res. Inst. of Water Resources & Hydropower, Shenyang, China ; Zhenying Wang

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.

Published in:

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Date of Conference:

9-11 April 2010