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The Application Study on Extraction of Saline Soil Information in the Arid Region Using Satellite SAR Images

Author: HeZuoSheng
Tutor: TaXiFuLaTi·TeYiBai
School: Xinjiang University
Course: Cartography and Geographic Information Systems
Keywords: Saline Soil Information Extraction Radar image processing Multi-source data fusion Decision tree classification method Ion response
CLC: P237
Type: Master's thesis
Year: 2007
Downloads: 248
Quote: 14
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Abstract


The salinized is arid, semi-arid areas of land degradation caused by irrational human activities and the fragile ecological environment interaction problems, is today the world's major environmental and socio-economic issues like desertification. Statistics Global 952 million km2 of land salinization, China is one of the countries with serious salinization images, soil salinization problem is still very prominent. Salinization devastating effect on the socio-economic, environmental and agricultural ecosystems more and more interesting. The nature, scope, covering an area of ??high-tech research salinization of land using remote sensing this macro, integrated, dynamic and fast characteristics, geographic distribution, dynamic change and salted the extent of saline land governance, to prevent the further spread of degradation and steady sustainable development of agriculture, rational planning is very important. In this paper, the radar image as the most important source of data, which is the radar image in the arid region of Xinjiang has applied, for the first time, comprehensive utilization of the advantages of remote sensing and spatial data to improve the accuracy of Saline Soil Information Extraction, resulting in an overall exploration and quantitative evaluation of drought land salinization in semi-arid areas, the development of microwave remote sensing applications in land salinization thematic information extraction research to all levels of government and policy-making departments to provide for the sustainable development of efficient decision-making system and contribute to the large-scale development of the western region . An analysis of different filtering methods, different window size of SAR image speckle noise cancellation. In order to eliminate the speckle noise of SAR images, applications Lee filter, enhanced Lee filter, Frost filter, enhanced Frost filter, the Gamma filter, Kuan filter, Local Sigma filter Bit the Errors filter filter radar image processing, analysis of different window The image transformed standard deviation of the change, and then the smoothness index (FI), edge preservation index (ESI) as an indicator to analyze the different windows typically class the regional severe salted, in mildly salted land, farmland, water, Changes of the clay. The results showed that the more satisfied: Enhanced Lee filtering and enhanced Frost speckle noise filtering effect. 2, analysis of multi-source data-based decision tree method in salinized land in arid zone information extraction. First analysis of saline soil formation factors, the results show that: the arid desert climate is a prerequisite for forming saline land, the parent rock and the parent material salinity is to form the material basis of the saline soil, surface water and groundwater recharge is formed salted the power of the earth, the human factor is an important condition for the formation of the irrigation district secondary salinization land. Purpose of radar band by comparing whether to participate in the decision tree classifier, the results show that: the the fifth main ingredient call the shots after joining radar band component analysis to achieve the separation of water and severe saline soil information has played a prominent severe salinized land . View from the establish decision tree extract model, the number of nodes of the decision tree model radar band reduced to reduce the computation process, Saline Soil Information extraction process more concise and more convenient feature band selection, extraction accuracy. increased significantly. 3, multi-source information fusion of saline soil information extraction, first overview of commonly used remote sensing image fusion method, the HIS, the Brovey,, PCA fusion of radar image and optical image fusion to improve saline soil the extraction accuracy. The results show that the images based on principal component fusion image greatly improve the resolving power, salted and other surface features distinguish greater degree of improvement results than purely based on the optical image information extraction accuracy has improved greatly, indicating that the radar image advantages in saline soil information extraction. 4 radar images saline soil ion response, First salinization of soil typical area eight ions were measured, calculated based on the coordinates of the point of the field measurements, remote sensing images, every little bit pixel value with eight ions the corresponding values, and eight ions with remote sensing images of pixel values ??sorted using gray relational analysis. The results show that: March radar images of PH value in response to a strong response to instability of the salt content, conductivity, salinity response general. Cation is concerned, the most significant response to Ca2; anion terms of HCO3-response is the most significant. The October radar images of PH value, conductivity response strongly in response to instability of the salt content, salinity response generally. Cations, no significant law. Cl-anion in terms of response to the most significant, SO42-, HCO3-no obvious regularity. Year change both 0-10cm or 0-50cm radar image response more stable PH value, large changes in HCO3-. Cations, no significant variation; on anion speaking, the changes are obvious rules change large as of HCO3-, SO42-, Cl-slight change. Papers from different research methods and start to explore the radar image in the arid area salinized land thematic information extraction. This study is the first radar images used in the extraction of saline soil in Xinjiang, the comprehensive utilization of optical remote sensing advantage quantitative evaluation of the arid zone salted land situation. The decision tree classification method, multi-source information fusion technology, and the gray relational analysis detailed analysis of the potential of the radar image in the the arid saline soil extraction technology, its methods and conclusions have compared for the Arid Area salted the information detection high theoretical value and practical significance. The theory of the radar image on the the information extraction presence of saline soil more blank applications mature application mode. This thesis discussed Saline Soil Information in the radar image response, high accuracy information extraction method, so as to the arid area of ??Saline Soil Information extracted another new data sources and technical means. Of this study was to carry out, in order to attract the attention of academics, colleagues and the attention of the competent authorities in this field study.

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing > Surveying, Mapping and Remote Sensing technology
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