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《Geography and Geo-Information Science》 2013-02
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Characteristics and Correcting Methods of Errors in Extraction of SOA Based on DEMs

XIE Yi-qun1,TANG Guo-an1,2,JIANG Ling1,2(1.School of Geographic Science,Nanjing Normal University,Nanjing 210023;2.Key Laboratory of Virtual Geographic Environment(Nanjing Normal University),Ministry of Education,Nanjing 210023,China)  
Slope of Aspect(SOA) is a key index in reflecting the horizontal variance ratio of terrain surface,and plays an important role in many fields of digital terrain analysis,such as slope spectrum,terrain features and visualization,etc.SOA can be extracted efficiently from DEM,and usually can be acquired by extracting SOA matrix derived from DEM.Guoan Tang noticed the influence of the periodicity of aspect in the extraction process,and proposed a method by a combination of original and reverse DEMs.This method avoids errors brought by the ignorance of this influence,thus is now generally accepted and used.But through further study,it still has serious deficiencies.It fails to consider the influence brought by slope extraction algorithm,of which the relationship of the six pairs of differences can bother the whole process,so a large number of errors are left in its extraction result.In this paper,the relationship of those differences is analyzed in details,and a new model is built.The new method is named as senary division method,and it avoids the mistakes by dividing slope extraction algorithm into six parts,and correcting errors in each part separately according to two major criteria established in this paper.The new algorithm is developed based on ArcEngine.Using 5 m resolution DEMs as source data,a comparison is made between the old and the new method.The comparison shows that about 12.77 percent of SOA extraction results obtained by the old method still need correction in regions where SOA is over 80,and about 1.9 percent of the whole extraction results have values at least one bigger than correct ones.Moreover,the errors in the results extracted by the old method distribute mainly at the lines of ridges and valleys,where the values of aspects varied intensely.These errors are corrected by the new method successfully,and this demonstrates the validity of the new method.
【Fund】: 国家自然科学基金项目(40930531);; 国家863计划项目(2011AA120303)
【CateGory Index】: P217
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