In the research for the regional aeolian geomorphology, we need to sketch amount of dune crest lines to calculate the dune-field pattern parameters, and show change law of the pattern parameters. 

In this research, scientist from CAREERI (Cold and Arid Regions Environmental and Engineering Research Institute) used the MATLAB Platform to extract the data in the dune-field regions, so their matching extent is very high. 

The remote sensing images provide reliable materials for the regional aeolian geomorphology study along with the development of modern science and technology. In recent years, some scientists proposed the pattern analysis method of dune-field parameters on remote sensing images: Firstly, draw the dune crest lines on remote sensing image; then, measure and calculate the dune-field pattern parameters; finally, analyze the probability distribution, spatial variation, influencing factors and formation time of dune-field. In the study, we used the image processing algorithm to draw the dune crest lines at a typical transverse dune area in the Tengery Desert on Google Earth images based on MATLAB Platform, and then the parameters of dune spacing, defect density, crest orientation and crest length were calculated. The results showed that this method is fast and reliable and provided a new method for dune crest lines extraction. 

This program is financially supported by the National Natural Science Foundation of China (41130533), and this paper has been published on the Journal of Desert Research, Vol. 33 No. 6, Nov. 2013.