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Different Method to Determine the Spatial Distribution of Sandy Land in Inner Mongolia

Author: ZhaoYuFei
Tutor: ZhangZuo;AnHuiJun
School: Inner Mongolia Agricultural University
Course: Forest Management
Keywords: Volts Saudi Interpretation signs Classification method Cause Analysis
CLC: X171
Type: Master's thesis
Year: 2011
Downloads: 23
Quote: 0
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One of the world's most serious ecological problems of land desertification. It is not only a threat to the survival of the whole human environment, but also restricts the development of the global economy and an important factor affecting social stability. Land desertification one of the main reasons is the over-exploitation of volts sandy and use, lead to the volts the sand its not a complete soil structure to withstand the dual pressures of agriculture and animal husbandry, in the true sense of the ecologically fragile zone. This article aims to rely on remote sensing image interpretation, and important means of field investigation, build Volt Saudi interpretation signs, determine volts sandy spatial distribution, and comparative analysis of remote sensing image classification techniques, discover a suitable Inner West Ujimqin volts Saudi spatial distribution method to determine the the Saudi-volt distribution range, and at the same time, in-depth analysis of the causes of the sandy volts, protect this ecological volts Saudi fragile zone. The main method used in this paper: First of all, according to the characteristics of ETM images selected for the combination of the best bands of the volt Saudi, and improve the accuracy of interpretation signs to establish binding SPECTRAL; Secondly, determined by different classification methods of remote sensing software volt sand The spatial distribution of land; once again, the classification maps for each classification accuracy analysis, determine optimal volts Saudi classification method; causes volts Saudi Finally, according to the the volt Saudi classification chart analysis. Studies have shown that suitable 内蒙古西乌 flag areas volts sandy best band combination of 453, the band combination can enhance volts sandy establish interpretation signs. Verify that: the man-machine interactive interpretation classification, supervised classification, comparison and decision tree classification method and accuracy analysis and man-machine interactive interpretation can accurately distinguish the type of over the matter, and the overall classification accuracy of 89%, in line with the range of applications, and high in other classifications. Supervised classification synonyms spectrum or the same spectrum of foreign body in the classification results is difficult to extract characteristic factor based on the spectral characteristics of the particular region, leading to the classification accuracy is not high due to the presence of remote sensing images. Decision tree classification method there is a large sample dependence classification decision rules and expert systems is not easy to combine, and can not take full advantage of the spatial characteristics of the classification of surface features, need further research to improve the classification results to improve the classification efficiency and achieve a more friendly and convenient The man-machine interface, to meet the requirements of computer automatic classification process automation. Saudi-volt causes its fluviolacustrine sand source and the local winds are inextricably linked, and volts sandy sand parent material in the event of a science homologous with sandy sand material.

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