基于RS和GIS的奉节县城土地利用景观格局演变研究
发布时间：2018-10-17 08:40
【摘要】：土地利用的研究是城市规划的核心。有关景观格局的演变研究也是城市规划研究的热点之一。利用遥感影像数据来分析研究区的景观格局的变化及其驱动力因子,得出研究区土地利用景观格局变化的规律。同时运用CA-Markov模型对景观格局进行模拟预测,来了解土地利用景观格局未来变化趋势,为地区的城市规划提供依据。本文运用RS和GIS相结合的方法,解译了奉节县城2003年、2007年、2011年和2016年的四期遥感影像,获得基础数据源。然后分析土地利用景观格局的演变规律,运用主成分分析法揭示影响奉节县城景观格局演变的驱动力因子。最后建立CA-Markov数学模型来模拟奉节县城2020年土地利用景观格局,从而预测奉节县城未来的发展方向。论文的研究成果主要有:(1)利用计算机监督分类获取了奉节县城2003年、2007年、2011年和2016年的遥感影像土地类型分布图,通过ENVI、ArcGIS软件,分析了奉节县城的土地利用数量变化和空间格局的演变。(2)基于景观生态学理论,利用Fragstats软件,选取并计算奉节县城4个时期的多个景观格局指数,通过景观格局指数的分析,得出奉节县城的土地利用景观格局特征的变化规律。(3)运用主成分分析法研究了奉节县城土地利用以及景观格局演变的驱动力因素。结果表明,影响奉节县城土地利用景观格局的驱动力主要表现自然因素和社会因素。(4)运用CA-Markov模型对奉节县城2020年的土地利用景观格局进行了模拟预测。根据模拟预测,2016-2020年奉节县城各景观类型变化明显,耕地和草地面积有所减少,林地和建设用地面积有所增长,水体面积基本不变。
[Abstract]:The study of land use is the core of urban planning. The research on the evolution of landscape pattern is also one of the hot spots in urban planning. The change of landscape pattern and its driving force are analyzed by using remote sensing image data, and the law of landscape pattern change of land use in the study area is obtained. At the same time, the CA-Markov model is used to predict the landscape pattern in order to understand the future change trend of land use landscape pattern and provide the basis for the urban planning of the region. In this paper, four remote sensing images of Fengjie County in 2003, 2007, 2011 and 2016 are interpreted by the method of RS and GIS, and the basic data source is obtained. Then it analyzes the evolution law of the landscape pattern of land use and reveals the driving force factors that affect the landscape pattern evolution of Fengjie county by principal component analysis. Finally, the CA-Markov mathematical model was established to simulate the landscape pattern of land use in Fengjie county in 2020, and the future development direction of Fengjie county was predicted. The main research results of this paper are as follows: (1) the land type distribution maps of Fengjie County in 2003, 2007, 2011 and 2016 are obtained by using computer supervised classification, and the distribution of land types of remote sensing images in 2003, 2007, 2011 and 2016 are obtained by ENVI,ArcGIS software. The changes of land use quantity and spatial pattern in Fengjie county are analyzed. (2) based on the theory of landscape ecology and using Fragstats software, several landscape pattern indices of four periods in Fengjie county are selected and calculated, and the landscape pattern index is analyzed. The change law of landscape pattern of land use in Fengjie county was obtained. (3) the driving factors of land use and landscape pattern evolution in Fengjie county were studied by principal component analysis. The results showed that the driving forces affecting the landscape pattern of land use in Fengjie County were mainly natural factors and social factors. (4) the land use landscape pattern of Fengjie County in 2020 was simulated and forecasted by using CA-Markov model. According to the simulation forecast, the landscape types of Fengjie County in 2016-2020 changed obviously, the area of cultivated land and grassland decreased, the area of woodland and construction land increased, and the area of water body remained unchanged.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F301.2
[Abstract]:The study of land use is the core of urban planning. The research on the evolution of landscape pattern is also one of the hot spots in urban planning. The change of landscape pattern and its driving force are analyzed by using remote sensing image data, and the law of landscape pattern change of land use in the study area is obtained. At the same time, the CA-Markov model is used to predict the landscape pattern in order to understand the future change trend of land use landscape pattern and provide the basis for the urban planning of the region. In this paper, four remote sensing images of Fengjie County in 2003, 2007, 2011 and 2016 are interpreted by the method of RS and GIS, and the basic data source is obtained. Then it analyzes the evolution law of the landscape pattern of land use and reveals the driving force factors that affect the landscape pattern evolution of Fengjie county by principal component analysis. Finally, the CA-Markov mathematical model was established to simulate the landscape pattern of land use in Fengjie county in 2020, and the future development direction of Fengjie county was predicted. The main research results of this paper are as follows: (1) the land type distribution maps of Fengjie County in 2003, 2007, 2011 and 2016 are obtained by using computer supervised classification, and the distribution of land types of remote sensing images in 2003, 2007, 2011 and 2016 are obtained by ENVI,ArcGIS software. The changes of land use quantity and spatial pattern in Fengjie county are analyzed. (2) based on the theory of landscape ecology and using Fragstats software, several landscape pattern indices of four periods in Fengjie county are selected and calculated, and the landscape pattern index is analyzed. The change law of landscape pattern of land use in Fengjie county was obtained. (3) the driving factors of land use and landscape pattern evolution in Fengjie county were studied by principal component analysis. The results showed that the driving forces affecting the landscape pattern of land use in Fengjie County were mainly natural factors and social factors. (4) the land use landscape pattern of Fengjie County in 2020 was simulated and forecasted by using CA-Markov model. According to the simulation forecast, the landscape types of Fengjie County in 2016-2020 changed obviously, the area of cultivated land and grassland decreased, the area of woodland and construction land increased, and the area of water body remained unchanged.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F301.2
【参考文献】
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1 陈影;许v，
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