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近20年来福州市土地利用时空变化的遥感分析
  • ISSN号:1560-8999
  • 期刊名称:《地球信息科学学报》
  • 时间:0
  • 分类:TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]福州大学环境与资源学院,空间数据挖掘与信息共享教育部重点实验室,福州350108
  • 相关基金:国家自然科学基金资助项目(40371107),福建省教育厅重点项目(2005K006).
中文摘要:

以1986、1996和2006年三期Landsat TM影像为基本数据源,采用最大似然法分类,并以同期高分辨率的SPOT5影像进行分类后处理,最后分类后变化检测法监测了福州市1986~2006年的土地利用变化及其转移模式。结果表明,福州市近20年间土地利用发生了较大的变化,城乡建筑用地处于快速增长阶段,而耕地数量却在不断下降。经济发展、人口增长、政府决策等因素是福州市土地利用发生变化的主要驱动力。

英文摘要:

The human-induced land use changes have a great impact on the global climate changes and thus is the focus of the various studies. Currently, the study on the dynamics of land use usually takes the advantages of the remote sensing technology and Geographical Information System. In this study, the land use changes in Fuzhou city and adjacent areas during the last 20 years were investigated using remote sensing technology based on three Landsat TM images acquired in 1986, 1996 and 2006, respectively. A Maximum Likelihood Classification algorithm was applied to classify the images and the classification accuracy was further enhanced with the assistance of the high spatial resolution SPOT Pan images and the Geographical Information System. The change detection technique has been used to reveal the changed land use areas and to obtain conversion matrixes of land use classes using the post-classification comparison method. The result clearly reveals that the land use changed dramatically during the study period due to the rapid economic development and urbanization process of the area. The main land use classes, such as built-up land, arable land and forest land, have changed at various degrees. The rapid spatial expansion of the urban areas has resulted in the sharp decrease in arable land, making a distinct character of the land use change of Fuzhou District. Further combination of the remote sensing data with the socio-economic data of the study area indicates that the main driving forces to the land use changes of the area are fast industrialization, population growth and the government decision making.

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期刊信息
  • 《地球信息科学学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院地理科学与资源研究所 中国地理学会
  • 主编:徐冠华
  • 地址:北京大屯路甲11号
  • 邮编:100101
  • 邮箱:sxfu@lreis.ac.cn
  • 电话:010-64888891
  • 国际标准刊号:ISSN:1560-8999
  • 国内统一刊号:ISSN:11-5809/P
  • 邮发代号:82-919
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:3181