【摘要】：土地利用景觀格局是人類活動(dòng)和經(jīng)濟(jì)發(fā)展?fàn)顩r在一定社會(huì)形態(tài)下的直接反映，分析研究區(qū)域土地利用變化過程、規(guī)律及驅(qū)動(dòng)因素，明確土地利用變化對(duì)生態(tài)環(huán)境的影響，能夠讓人類重新審視其對(duì)自然的行為，及時(shí)修正正確的規(guī)劃方案。鄞州區(qū)是寧波市區(qū)域面積最大、經(jīng)濟(jì)和科技實(shí)力最強(qiáng)的一個(gè)區(qū)。經(jīng)濟(jì)的發(fā)展促進(jìn)了土地利用結(jié)構(gòu)發(fā)生了翻天覆地的變化，土地供給與土地需求之間的矛盾也日益劇烈。因此，本文以RS和GIS作為技術(shù)支撐對(duì)鄞州區(qū)的景觀格局做動(dòng)態(tài)的監(jiān)測(cè)和定量的分析，總結(jié)區(qū)域土地利用景觀格局變化特征。主要研究成果如下： （1）構(gòu)建鄞州區(qū)土地利用分類系統(tǒng)：結(jié)合《土地利用現(xiàn)狀分類》（GB/T21010-2007）標(biāo)準(zhǔn)和研究區(qū)土地利用概況兩方面的內(nèi)容，將研究區(qū)分為5個(gè)一級(jí)類，主要為：農(nóng)用地、交通用地、林地、水域及水利設(shè)施用地、建設(shè)用地，并將林地分為竹林、闊葉林和喬木林三個(gè)二級(jí)分類。 （2）獲得鄞州區(qū)土地利用監(jiān)督分類成果：本次研究采用監(jiān)督分類中支持向量機(jī)（SVM）方法進(jìn)行分類，對(duì)分類結(jié)果進(jìn)行精度評(píng)定，得到每期影像的總體分類精度分別為85%、87%、92%，，KAPPA分析值分別為0.81、0.83、0.87，滿足分類精度最低精度要求。 （3）獲得三個(gè)時(shí)期土地利用景觀格局分析結(jié)果：本研究對(duì)研究區(qū)土地利用景觀從斑塊面積變化分析、景觀破碎度分析、景觀優(yōu)勢(shì)度分析以及景觀多樣性和均勻度分析四個(gè)方法進(jìn)行評(píng)價(jià)。分析結(jié)果表明建筑用地隨著城市的發(fā)展，該類型面積增幅較大，破碎化程度降低，優(yōu)勢(shì)度凸顯；農(nóng)用地面積與建筑面積呈現(xiàn)“此消彼長(zhǎng)”的現(xiàn)象，破碎化程度增加，其在景觀中絕對(duì)優(yōu)勢(shì)度消失，且優(yōu)勢(shì)度急劇下降；竹林受產(chǎn)業(yè)模式的影響，破碎化程度呈現(xiàn)減小-上升的現(xiàn)象，優(yōu)勢(shì)度逐漸下降；喬木林受城市化發(fā)展的需要以及政府政策的傾斜，喬木林面積持續(xù)增長(zhǎng)，破碎度降低，優(yōu)勢(shì)凸顯；從整體看鄞州區(qū)破碎度表現(xiàn)為“降低-增加”，各景觀類型優(yōu)勢(shì)度差距縮小，景觀均勻度增加，但景觀斑塊類型、形狀復(fù)雜化，景觀多樣性相應(yīng)增加。 （4）總結(jié)鄞州區(qū)景觀格局變化驅(qū)動(dòng)因素：結(jié)合分析結(jié)果和鄞州區(qū)土地利用情況、經(jīng)濟(jì)狀況等方面的資料，總結(jié)了鄞州區(qū)土地利用景觀格局變化的驅(qū)動(dòng)因素，主要有五個(gè)方面的內(nèi)容，包括：人口數(shù)量的快速增長(zhǎng)；經(jīng)濟(jì)的蓬勃發(fā)展；產(chǎn)業(yè)布局對(duì)資源利用的影響；人為因素對(duì)森林資源的影響；旅游業(yè)的興起。
[Abstract]:Land use landscape pattern is a direct reflection of human activities and economic development in a certain social form. The process, law and driving factors of regional land use change are analyzed and studied, and the influence of land use change on ecological environment is clarified. It allows humans to re-examine their behavior towards nature and correct their plans in a timely manner. Yinzhou District is the largest area and the strongest economic and technological strength in Ningbo. With the development of economy, the land use structure has changed dramatically, and the contradiction between land supply and land demand is becoming more and more intense. Therefore, this paper uses RS and GIS as technical support to make dynamic monitoring and quantitative analysis of the landscape pattern of Yinzhou district, and summarize the change characteristics of regional land use landscape pattern. The main research results are as follows: (1) constructing the land use classification system in Yinzhou District: combining the criteria of "Land use status Classification" (GB/T21010-2007) and the general situation of land use in the research area, The study was divided into five first-class categories: agricultural land, traffic land, woodland, water area and water conservancy facilities land, construction land, and the woodland was classified into three secondary categories: bamboo forest, broad-leaved forest and tree forest. The forest land was divided into three categories: bamboo forest, broad-leaved forest and Arbor forest. (2) obtain the results of land use supervision and classification in Yinzhou: this study uses support Vector Machine (SVM) method to classify and evaluate the accuracy of the classification results. The overall classification accuracy of each phase image is 85%, and the overall classification accuracy of each period is 85%. The analytical values of 87%, 92% and 0.81%, 0.83%, 0.87%, respectively, meet the requirement of the lowest precision of classification. (3) the results of land-use landscape pattern analysis in three periods were obtained: in this study, land-use landscape from patch area change analysis, landscape fragmentation analysis; Landscape dominance analysis and landscape diversity and evenness analysis four methods to evaluate. The analysis results show that with the development of the city, the area of this type increases greatly, the degree of fragmentation decreases, and the dominance is prominent. The agricultural land area and the building area show the phenomenon of "the growth and decline of each other", the degree of fragmentation increases, the absolute dominance disappears in the landscape, and the dominance decreases sharply. Under the influence of the industrial model, the fragmentation degree of bamboo forest decreases-rises, and the dominance decreases gradually. Arbor forest is affected by the need of urbanization and government policy. The area of Arbor forest continues to increase, the degree of fragmentation decreases, and the advantages of Arbor forest are prominent. As a whole, the fragmentation degree of Yinzhou district is "decrease-increase", the difference of dominance of each landscape type decreases, and the landscape uniformity increases, but the landscape patch type and shape are complicated, and landscape diversity increases accordingly. (4) summarize the driving factors of landscape pattern change in Yinzhou district: combined with the results of the analysis and the data of land use and economic situation in Yinzhou district, the driving factors of land use landscape pattern change in Yinzhou district are summarized, and the driving factors of land use landscape pattern change in Yinzhou district are summarized. There are five main aspects, including: the rapid growth of the population; The vigorous development of economy; the influence of industrial distribution on the utilization of resources; the influence of man-made factors on forest resources; the rise of tourism.
【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】：2013
【分類號(hào)】：P237;P208;P901

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 莫登奎,林輝,孫華,熊育久,劉秀英;基于高分辨率遙感影像的土地覆蓋信息提取[J];遙感技術(shù)與應(yīng)用;2005年04期

2 戴昌達(dá),雷莉萍;TM圖像的光譜信息特征與最佳波段組合[J];環(huán)境遙感;1989年04期

3 駱劍承,周成虎,梁怡,馬江洪;支撐向量機(jī)及其遙感影像空間特征提取和分類的應(yīng)用研究[J];遙感學(xué)報(bào);2002年01期

4 孫紅雨，王長(zhǎng)耀，牛錚，布和敖斯?fàn)?李兵;中國(guó)地表植被覆蓋變化及其與氣候因子關(guān)系──基于NOAA時(shí)間序列數(shù)據(jù)分析[J];遙感學(xué)報(bào);1998年03期

5 桂預(yù)風(fēng),張繼賢,林宗堅(jiān);土地利用遙感動(dòng)態(tài)監(jiān)測(cè)中混合像元的分解方法研究[J];遙感信息;2000年02期

6 王圓圓,李京;遙感影像土地利用/覆蓋分類方法研究綜述[J];遙感信息;2004年01期

7 郝建亭;楊武年;李玉霞;郝建園;;基于FLAASH的多光譜影像大氣校正應(yīng)用研究[J];遙感信息;2008年01期

8 趙淑清,方精云,唐志堯,樸世龍;洪湖湖區(qū)土地利用/土地覆蓋時(shí)空格局研究[J];應(yīng)用生態(tài)學(xué)報(bào);2001年05期

9 陳文波,肖篤寧,李秀珍;景觀指數(shù)分類、應(yīng)用及構(gòu)建研究[J];應(yīng)用生態(tài)學(xué)報(bào);2002年01期

10 宋素青,王衛(wèi),袁曉芳;張家口壩上地區(qū)景觀格局分析[J];中國(guó)農(nóng)業(yè)資源與區(qū)劃;2005年03期

本文編號(hào)：2467547