Urban Expansion and Evolution Prediction of Jinan City Based on Remote Sensing and GIS Technology

被引:0
|
作者
Liu Fang [1 ]
Qiao Zhuping [1 ]
Zhang Zengxiang [1 ]
Wei Xianhu [1 ]
Wang Xiao [1 ]
机构
[1] CAS, Inst Remote Sensing, Beijing, Peoples R China
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Urban expansion is a complex economic and social process and has been a hot topic not only in the management of sustainable development but also in the fields of remote sensing and geographic information science (GIS). Jinan is chosen to be the study area, as a fresh case, has not been systematically studied so far on the published literature especially its urban growth pattern and evolution prediction. Based on remote sensing and GIS technology, urban land of the year 1979, 1987, 1995, 2000, 2002, 2004 and 2008 are extracted from Multi-original remote sensing data ( Landsat MSS/ TM/ETM+, CBERS02B) and analyzed by GIS. Time scale of this research ranges from 1979 to 2008, and is divided into 6 periods (1979 similar to 1987, 1987 similar to 1995, 1995 similar to 2000, 2000 similar to 2002, 2002 similar to 2004, 2004 similar to 2008). (1) Firstly, preprocessing such as radiant calibration and geometry extract calibration Was executed on the multi-source remote sensing data. (2) Secondly, based on the software platform MGE and ArcGIS, urban land was extracted. (3) Thirdly, the spatial-temporal regulation and pattern characteristics of Jinan from the year 1979 to 2008 were quantitatively described in details by quoting indices such as urban expansion intensity, centroid, compact degree index etc. (4) Spatial expansion characteristics of Jinan were analyzed in different periods. (5) Urban expansion was predicted by using mode GM (1, 1). The systematic research of urban expansion pattern and evolution prediction in Jinan could be beneficial to local planning system.
引用
收藏
页码:979 / 984
页数:6
相关论文
共 50 条
  • [1] A Remote Sensing-GIS Evaluation of Urban Expansion in Taian City, China
    Cheng Peng
    Peng Shuzhen
    Zhang Wei
    [J]. INTERNATIONAL RESEARCH CONFERENCE OF RESOURCES UTILIZATION AND ENVIRONMENTAL EFFECTIVENESS: CALL OF PAPER FROM 2009 AGM, 2009, : 479 - +
  • [2] An analysis of urban expansion of Wuhan City based on multi-temporal remote sensing images and GIS
    Zeng, Zhongping
    Li, Zonghua
    Peng, Mingjun
    Lu, Xinhai
    [J]. GEOINFORMATICS 2007: REMOTELY SENSED DATA AND INFORMATION, PTS 1 AND 2, 2007, 6752
  • [3] Evaluating Urban Expansion of Nanjing City Based on Remote Sening and GIS
    Yang, Zhixiang
    He, Xiufeng
    Hu, Zhiquan
    [J]. 2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS,, 2009, : 432 - 435
  • [4] Urban Expansion in China Based on Remote Sensing Technology: A Review
    Zengxiang Zhang
    Fang Liu
    Xiaoli Zhao
    Xiao Wang
    Lifeng Shi
    Jinyong Xu
    Sisi Yu
    Qingke Wen
    Lijun Zuo
    Ling Yi
    Shunguang Hu
    Bin Liu
    [J]. Chinese Geographical Science, 2018, 28 : 727 - 743
  • [5] Urban Expansion in China Based on Remote Sensing Technology:A Review
    ZHANG Zengxiang
    LIU Fang
    ZHAO Xiaoli
    WANG Xiao
    SHI Lifeng
    XU Jinyong
    YU Sisi
    WEN Qingke
    ZUO Lijun
    YI Ling
    HU Shunguang
    LIU Bin
    [J]. Chinese Geographical Science, 2018, 28 (05) : 727 - 743
  • [6] Urban Expansion in China Based on Remote Sensing Technology: A Review
    Zhang Zengxiang
    Liu Fang
    Zhao Xiaoli
    Wang Xiao
    Shi Lifeng
    Xu Jinyong
    Yu Sisi
    Wen Qingke
    Zuo Lijun
    Yi Ling
    Hu Shunguang
    Liu Bin
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2018, 28 (05) : 727 - 743
  • [7] Urban Expansion in China Based on Remote Sensing Technology:A Review
    ZHANG Zengxiang
    LIU Fang
    ZHAO Xiaoli
    WANG Xiao
    SHI Lifeng
    XU Jinyong
    YU Sisi
    WEN Qingke
    ZUO Lijun
    YI Ling
    HU Shunguang
    LIU Bin
    [J]. Chinese Geographical Science, 2018, (05) - 743
  • [8] URBAN THERMAL ENVIRONMENT SIMULATION AND PREDICTION BASED ON REMOTE SENSING AND GIS
    Du Peijun
    Liu Pei
    Luo Yan
    [J]. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2357 - 2360
  • [9] Prediction of Urban Sprawl Using Remote Sensing, GIS and Multilayer Perceptron for the City Jaipur
    Sisodia, Pushpendra Singh
    Tiwari, Vivekanand
    Dahiya, Anil Kumar
    [J]. INTELLIGENT SYSTEMS TECHNOLOGIES AND APPLICATIONS, VOL 1, 2016, 384 : 403 - 410