四川省眉山市土地利用/覆被遥感动态监测及驱动力分析
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着中国经济的快速发展、人口数量的增加,中国土地利用与土地覆被格局变化的深度、广度和速度呈现急剧增加的趋势,经济发展同生态环境之间的矛盾越来越突出,因此开展典型地区生态环境遥感动态监测分析是认识全球变化的重要途径。人们的环保意识也越来越强,卫星遥感技术在生态环境监测领域中的应用已变得必要和紧迫。本文的完成建立在“四川省生态环境遥感动态监测”项目成果基础之上,以四川省眉山市为研究区,LandSat-5 TM卫星影像为主要信息源,利用遥感图像处理软件ERDAS IMAGING和地理信息系统软件ARCGIS,采用分类后比较法与分类前比较法中的主成分分析法及光谱特征变异法相结合的方法对四川省眉山地区自2000年至2007年间的土地利用变化进行了动态监测,对眉山市7年间的土地利用情况有了详细的了解。
     本论文对2000年及2007年现状及动态数据库进行时间序列及空间序列分析,得到了2000年及2007年的土地利用/覆被面积与动态变化面积和动态变化度。研究结果表明,城镇化进程加快,退耕还林还草的实施及一部分坡地与耕地改种花椒、果树等一系列经济作物等原因,林地增加的面积最大,动态变化度也最大,增加了xx.29 km2;而水田与旱地(一部分是良田)都有所减少,这总共减少了xx.72km2,这就表明了在退耕还林的同时必须做到保护良田协调统一;裸地等未利用土地在这7年中有所利用,动态变化度较大;水域在退耕还湖等政策支持下有所增强,增加了xx.67 km2。为了能直观的观察数据变化,通过ARCMAP等软件建立了2000年眉山市土地利用/覆盖现状分布图,2007年眉山市土地利用/覆盖现状分布图及2000年至2007年土地利用/覆盖动态现状分布图。利用数据结合图像具体分析了草地、裸地、水田和旱地7年间的去向,并通过分析将眉山市各县区的土地利用动态变化类型分为:草地、旱地和裸地—林地型,耕地—建筑用地型以及混合变化型。
     利用统计学软件SPSS对眉山市的土地利用驱动力因子的相关性分析,进一步研究表明眉山市受到社会驱动的影响较为明显,主要受到了城镇驱动的影响、人口变化的影响、经济发展的影响及政府政策向导的影响,尤其是人口变化的相关性最大,则必须坚定不移的实行计划生育的国策,经济发展对土地利用的变化也有较大的影响,在经济发展的时候必须注重土地合理的分配利用,做到可持续发展。
With China's rapid economic development, population increase, China's pattern of land use and land cover changes in the depth, breadth and speed of rendering to increase rapidly, the contradiction between economic development and ecological environment become more and more prominent, so it is important to carry out typical Ecological Environmental Dynamic Monitoring of Remote Sensing to recognize of global change. People's environmental awareness is growing, satellite remote sensing technology in the eco-environmental monitoring in the field of application has become necessary and urgent. The completion of this thesis based on the results of "dynamic monitoring of ecological environment in Sichuan Province,"Meishan City, Sichuan Province as the study area, LandSat-5 TM satellite image as the main source of information, the use of remote sensing image processing software ERDAS IMAGING and geographic information system software ARCGIS, using post-classification comparison and classification before the comparison of principal component analysis and spectral characteristics of variation method.The two methods combined to monitor the Meishan city land use from 2000 to 2007, the basic identification of the Meishan area changes in land use from 2000 to 2007.
     The thesis use of the current database and dynamic database between 2000 and 2007 to conduct time series and spatial sequence analysis, to get the 2000 and 2007 land use / cover area and the size of dynamic change and the degree of dynamic change. The results show that the accelerated urbanization process, returning farmland to forests and the grasslands as part of the implementation and the replanting of cultivated land slope and pepper, fruit trees and a series of economic crops and other reasons, the largest area of woodland increased, also the maximum degree of dynamic change and the increased number is xx.29 km2 ; the paddy field and dry land (part of farmland) has been reduced , the overall reduction is xx.72km2, which shows that while in the Forest protection must be harmonized fertile; bare land and other unused land in the 7 years increasingly being used, also has the greater degree of dynamic change;The water in lakes, farmland policy support has been enhanced, the increased number is xx.67 km2. In order to change visual observation data, set up by ARCMAP Meishan city 2000 and 2007 Land Use / Cover map, land use / cover distribution of the dynamic situation from 2000 to 2007. Use of data analysis combined with image specific grass, bare land, paddy fields and dry the whereabouts of 7 years, and through analysis of the Meishan county area into land use change types: grassland, farmland and bare land - forest type, land - building land-based and hybrid-type changes.
     Using SPSS statistical software on the Meishan city driving forces of land use correlation analysis, further study shows that Meishan city driven by the community are more obvious, the main town driven by the impact of demographic change, economic development and the government policy guide, especially the relevance of the biggest demographic change, we must firmly implement the national policy of family planning. Economic development also has a greater impact in land use change ,so when economic development must focus on a reasonable allocation of land use, to achieve sustainable development.
引文
[1]陈涛,杨武年.“3S”技术在生态环境动态监测中的应用研究[J].中国环境监测,2003.19(3),19-22。
    [2]刘培桐等.环境学概论[M].北京:高等教育出版社,1994
    [3]于兴修,杨桂山.中国土地利用/覆被变化研究的现状与问题[J].地理科学进展,2002. 21(1) :51257
    [4]张志泉.可持续发展与环境保护立法研究-立足于我国的生态环境状况[J].湖北社会科学,2004.08:21-22.
    [5]赵寒冰,曾志远,李硕.可持续发展战略的资源遥感回顾与展望[J].遥感技术与应用.2002.17(2):112-118.
    [6]李新玉,曹清华.加强生态环境保护,全面建设小康社会[J].国土资源,2003(12):22-25.
    [7] Chen Shupeng, Yue Tianxiang. Discussion on Sys-tem Method of Studying Global EnvironmentalChange[J]. Journal of National Resources. 2000,16(1):3-8.[陈述彭,岳天祥译.全球环境变化的系统方法浅议[J].自然资源学报,2000,16(1):3-8.]
    [8] P.Krishna Rao el. Weather Satellite:Systems Data and Environmental Applications [ M ]. American Metearological Society, 1990 [许健民等译,气象卫星——系统、资料及其在环境中的应用[M].北京:气象出版社,1994.]
    [9] Zhao Y S, et al. Remote Sensing App lication Analysis Theory[M ]. Beijing: Science Press, 2003. [赵英时等.遥感应用分析原理与方法[M ].北京:科学出版社,2003.]
    [10]刘纪远.国家资源环境遥感宏观调查与动态监测研究[J].遥感学报,1997,1(3):225-230.
    [11]邬伦,刘瑜,张晶,等.地理信息系统———原理、方法和应用[M].北京:科学出版社, 2001: 298-299.
    [12]杨武年,陈涛“.3S”技术———生态环境的“守护神”[N].中国国土资源报, 2002-06-19(7).
    [13]金君.GPS在地籍测量中的作用[J].测绘通报,1999(7):42-43.
    [14]杨武年,朱章森.遥感信息场分层解析与构造应力场定量研究[J].地质学报,1997,71(1): 86-96.
    [15]周乐群,杨岚.基于“3S”技术的国土资源与生态环境动态监测[J].华南地质与矿产, 2001(4):40-46.
    [16]陈圣波1地球空间信息技术在新一轮国土资源大调查中的应用探讨1国土资源遥感, 1999 ,(2).
    [17]杨武年,朱章森.遥感信息场分层解析与构造应力场定量研究[J].地质学报,1997,71(1):86-96.
    [18]戴昌达,姜小光,唐伶俐.遥感图像应用处理与分析[M].北京:清华大学出版社,2004
    [19] R. A. Weismiller, S. J. Kristof , D. K. Scholz , P. E. Anuta , and S. A. Momin. Change detection in coastal zone environments[J] . PE & RS.1977 (43) : 1533~1539.
    [20] G. F. Byrne, P. F. Crapper, and K. K. Mayo. Monitoring land cover change by principle component analysis of [J]. Remote Sens. Environ. , 1980 (10) : 175~184.
    [21]黎夏,叶嘉安.利用主成分分析改善土地利用变化的遥感监测精度[J].遥感学报. 1997 , 1 (4) : 282~289.
    [22]杨武年,邵怀勇,简季,刘汉湖,郑泽忠等,四川省生态环境遥感动态监测技术报告[R].成都理工大学档案馆,2005.
    [23]中国环境监测总站.2005年生态遥感监测与评价遥感技术方案[R].中国环境监测总站,2005.
    [24]梅安新,彭望琭,秦其明,刘慧平.遥感导论[M].北京:高等教育出版社,2001.
    [25] YONG DU , PHIL IPPE M T , JOSEF C. Radiometric Normalization of Multitemporal High2resolution Satellite Images with Quality Control for Land Cover Change Detection [ J ] .Remote Sens Environ , 2002 ,82 : 1232134.
    [26] OLSSON H. Reflectance Calibration of Thematic Mapper Data for Forest Change Detection [ J ] . Int J Remote Sensing ,1995 , 16 (1) :81296.
    [27] OLSSON H. Regression Functions for Multitemporal Relative Calibration of Thematic Mapper Data over Boreal Forest [J ] .Remote Sens Environ , 1993 , 46 :892102.
    [28] MEI An2xin , PENG Wang2lu , QIN Qi2ming , et al . An Introduction to Remote Sensing [M] . Beijing : Higher Education Press. 2001. (梅安新,彭望王录,秦其明,等.遥感导论[M] .北京:高等教育出版社,2001. )
    [29] FAN Hai2sheng , MA Ai2nai , L I Jing. Case Study of Image Differencing Method for Land Use Change Detection Using Thematic Data in Renhe District of Panzhihua[J ] . Journal of Remote Sensing , 2001 , 5 (1) : 75280. (范海生,马蔼乃,李京.采用图像差值法提取土地利用变化信息方法[J] .遥感学报, 2001 , 5 (1) : 75280. )
    [30]戴昌达,姜小光,唐伶俐.遥感图像应用处理与分析[M] .北京:清华大学出版社,2004
    [31] CHAVEZ P S , MACKINNON J r D J . Automatic Detection of Vegetation Changes in the Southwestern United States Using Remotely Sensing Images [J ] . Photogrammetric Engineering & Remote Sensing , 1994 , 60 (5) :5712583.
    [32] XIAO Ping. Land Use/ Cover Change Detection[D] . Wuhan :Wuhan University , 2001. (肖平.土地利用/覆盖变化探测技术研究[D] .武汉:武汉大学,2001. )
    [33] Li Zhaoliang , Becker F , Stoll M P , et al. A Method for Monitoring the Temporal Variation of Surface Spectral Emissivity : Application to Thermal Infra- red Multispect ral Scanner ( TIMS) Data in HAPEXSahel [J] . Journal of Geophysical Research , 1999 ,164 (D24) :2172224.
    [31]黄妙芬,徐曼等.中巴地球资源02星数据特性分析[J].干旱区地理.2004.27(4):485-491.
    [32]吴美蓉.中巴地球资源卫星应用及其发展[J].测绘科学.2000.25(2):25-30.
    [33]杨武年,邵怀勇,简季,刘汉湖,郑泽忠等,四川省生态环境遥感动态监测技术报告[R].成都理工大学档案馆,2005.
    [34]郑泽忠,“3S”技术在四川省生态环境动态监测中的应用.
    [35]杨武年,邵怀勇,简季,刘汉湖,郑泽忠等,四川省生态环境遥感动态监测技术报告[R].成都理工大学档案馆,2005.
    [36]中国环境监测总站.2005年生态遥感监测与评价遥感技术方案[R].中国环境监测总站,2005.
    [37]刘美玲,齐清文,邹秀萍,李晋.基于RS对云南边境地区土地覆盖现状及变化研究[J].国土资源遥感.2006,3(1):75
    [38]史培军,宫鹏,李晓兵,等.土地利用/覆盖变化研究的方法与实践[M].北京:科学出版社,2000.5-6.
    [39] Carpenter G,Gail A.ART Neural Networks for Remote Sensing Vegetation Classification from Landsat TM and Terrain Data[J].IEEE Transactions on Geoscience and Remote Sensing,
    [40] Yuan D,Elividge C.NAL C Land Cover Change Detection Pilot Study:Washington D.C.Area Experiments[J].Remote Sensing of Environment,1998,66:166-178. 1997,35(2):308-325.
    [41] T. M. Lillesand and R. W. Kiefer. Remote Sensing and Image Interpretation[M] . New York : Wiley , 2000.
    [42]黎夏,叶嘉安.利用主成分分析改善土地利用变化的遥感监测精度———以珠江三角洲城市用地扩展为例[J].遥感学报,1997,1(4):282-289.
    [43] Yey A G,Li X.An Integrated Remote Sensing and GIS Approach in The Monitoring and Evaluation of Rapid Urban Growt h for Sustainable Development in The Pearl River Delta,China[J].International Planning Studies,1997,2(2):193-210.
    [44] G. F. Byrne , P. F. Crapper , and K. K. Mayo. Monitoring land cover change by principle component analysis of multitemporal Landsat data[J ] . Remote Sense. Environment , 1980 (10) : 175~184.
    [45]黎夏,叶嘉安.利用主成分分析改善土地利用变化的遥感监测精度[J].遥感学报.. Land Use/ Cover Change Detection[D] . Wuhan :Wuhan University , 2001. (肖平.土地利用/覆盖变化探测技术研究[D] .武汉:武汉大学,2001. )
    [46] MEI An2xin , PENG Wang2lu , QIN Qi2ming , et al . An Introduction to Remote Sensing [M] . Beijing : Higher Education Press. 2001. (梅安新,彭望王录,秦其明,等.遥感导论[M] .北京:高等教育出版社,2001. )
    [47] FAN Hai2sheng , MA Ai2nai , L I Jing. Case Study of Image Differencing Method for Land Use Change Detection Using Thematic Data in Renhe District of Panzhihua[J ] . Journal of Remote Sensing , 2001 , 5 (1) : 75280. (范海生,马蔼乃,李京.采用图像差值法提取土地利用变化信息方法[J] .遥感学报, 2001 , 5 (1) : 75280. )
    [48]贡璐,潘晓玲,师庆东.塔里木河上游土地利用格局变化及影响因子分析[J].资源科学,2005,27(4):71275
    [49]杨朝现,谢德体,陈荣蓉,等.重庆市不同经济区耕地动态变化及其驱动力差异性分析[J].水土保持学报,2005,19(2):171-174.
    [50]党安荣,王晓栋,陈晓峰编著,ERDAS IMAGINE遥感图像处理方法[M],北京:清华大学出版社,2003.
    [51]尹黎明,卢玉东,潘剑君,姜小三,谭钦文.基于多波段组合技术的土地利用/覆盖信息提取研究[J].遥感信息.2005,5:17.
    [52]江晓波,孙燕,周万村,等.基于遥感与GIS的土地利用动态变化研究[J].长江流域资源与环境,2003,12(2):130-135.
    [53]全斌,杨肖琪,刘绍鸿,等.漳州市土地覆被变化的遥感动态监测及驱动力分析[J].水土保持研究,2005,12(3):154-157.
    [54]朱运海,张百平,曹银璇,张运生.土地利用/覆被变化遥感检测方法与应用分析[J].地球信息科学.2007.9(3):117
    [55]张继贤.论土地利用与覆盖变化遥感信息提取技术框架[J].中国土地科学.2003.17(4):117
    [56] T. M. Lillesand and R. W. Kiefer. Remote Sensing and Image Interpretation[M] . New York : Wiley , 2000.
    [57] G. F. Byrne , P. F. Crapper , and K. K. Mayo. Monitoring land cover change by principle component analysis of multitemporal Landsat data[J ] . Remote Sense. Environment , 1980 (10) : 175~184.
    [58]黎夏,叶嘉安.利用主成分分析改善土地利用变化的遥感监测精度[J].遥感学报. 1997 , 1 (4) : 282~289.
    [59] Jensen J . R. , Cowen D. J . , et al. An evaluation of coast watch change detection protocol in south Carolina[J ] . PE & RS. 1993 , 59 (6) : 1039~1046.
    [60] Ross S Lunetta , Christopher D. Elvidge , Remote Sensing Change Detection[M] . Princeton , USA : Taylor and Frances Press ,1999.
    [61]邵怀勇.三峡工程实施十年间开县土地利用/覆被时空变化及机制分析[D].成都:中国科学院研究生院,2005.
    [62]刘纪远,布和敖斯尔.中国土地利用变化现代过程时空特征的研究-基于卫星遥感数据[J].第四纪研究, 2000, 20 (3) : 229~239.
    [63]李玉霞,杨武年,邵怀勇,简季.基于遥感与G I S土地利用/覆盖动态监测及驱动力分析[J].农机化研究.2006,11:66.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700