基于RS和GIS的奉節(jié)縣城土地利用景觀格局演變研究
發(fā)布時(shí)間:2018-10-17 08:40
【摘要】:土地利用的研究是城市規(guī)劃的核心。有關(guān)景觀格局的演變研究也是城市規(guī)劃研究的熱點(diǎn)之一。利用遙感影像數(shù)據(jù)來(lái)分析研究區(qū)的景觀格局的變化及其驅(qū)動(dòng)力因子,得出研究區(qū)土地利用景觀格局變化的規(guī)律。同時(shí)運(yùn)用CA-Markov模型對(duì)景觀格局進(jìn)行模擬預(yù)測(cè),來(lái)了解土地利用景觀格局未來(lái)變化趨勢(shì),為地區(qū)的城市規(guī)劃提供依據(jù)。本文運(yùn)用RS和GIS相結(jié)合的方法,解譯了奉節(jié)縣城2003年、2007年、2011年和2016年的四期遙感影像,獲得基礎(chǔ)數(shù)據(jù)源。然后分析土地利用景觀格局的演變規(guī)律,運(yùn)用主成分分析法揭示影響奉節(jié)縣城景觀格局演變的驅(qū)動(dòng)力因子。最后建立CA-Markov數(shù)學(xué)模型來(lái)模擬奉節(jié)縣城2020年土地利用景觀格局,從而預(yù)測(cè)奉節(jié)縣城未來(lái)的發(fā)展方向。論文的研究成果主要有:(1)利用計(jì)算機(jī)監(jiān)督分類(lèi)獲取了奉節(jié)縣城2003年、2007年、2011年和2016年的遙感影像土地類(lèi)型分布圖,通過(guò)ENVI、ArcGIS軟件,分析了奉節(jié)縣城的土地利用數(shù)量變化和空間格局的演變。(2)基于景觀生態(tài)學(xué)理論,利用Fragstats軟件,選取并計(jì)算奉節(jié)縣城4個(gè)時(shí)期的多個(gè)景觀格局指數(shù),通過(guò)景觀格局指數(shù)的分析,得出奉節(jié)縣城的土地利用景觀格局特征的變化規(guī)律。(3)運(yùn)用主成分分析法研究了奉節(jié)縣城土地利用以及景觀格局演變的驅(qū)動(dòng)力因素。結(jié)果表明,影響奉節(jié)縣城土地利用景觀格局的驅(qū)動(dòng)力主要表現(xiàn)自然因素和社會(huì)因素。(4)運(yùn)用CA-Markov模型對(duì)奉節(jié)縣城2020年的土地利用景觀格局進(jìn)行了模擬預(yù)測(cè)。根據(jù)模擬預(yù)測(cè),2016-2020年奉節(jié)縣城各景觀類(lèi)型變化明顯,耕地和草地面積有所減少,林地和建設(shè)用地面積有所增長(zhǎng),水體面積基本不變。
[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.
【學(xué)位授予單位】:成都理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】: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.
【學(xué)位授予單位】:成都理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:F301.2
【參考文獻(xiàn)】
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