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海南城市发展进程遥感监测分析与模拟

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  • 1. 中国科学院遥感与数字地球研究所 数字地球重点实验室, 北京 100094;
    2. 海南省地球观测重点实验室, 海南 三亚 572029;
    3. 中国科学院大学 电子电气与通信工程学院, 北京 100049

收稿日期: 2017-06-02

  修回日期: 2017-11-03

  网络出版日期: 2018-09-30

基金资助

海南省重大科技计划项目(No.ZDKJ2016021);海南省科技合作专项资金项目(No.KJHZ2015-14);海南省重点研发计划项目(No.ZDYF2016183)资助

Remote Sensing Monitoring and Simulation of City Development for Hainan Province

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  • 1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    2. Hainan Key Laboratory of Earth Observation, Sanya 572029, Hainan Province, China;
    3. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2017-06-02

  Revised date: 2017-11-03

  Online published: 2018-09-30

摘要

基于混合像元分解模型与CLUE-S模型相结合的方法,对海南省三亚市和海口市两个不同类型城市在2000–2015年期间的城市化进程进行了监测,模拟分析了两个城市2020年城市土地利用分布格局及异同.结果表明,海口市和三亚市在15年来均存在大幅度城市扩张情况,其中三亚市扩张了3.4倍,扩张程度更为巨大.实验表明,所采用的混合像元分解模型与CLUE-S模型相结合的方法能够提供更加精细的城市发展过程信息,有助于城市规划与国土资源决策.

本文引用格式

王恒, 张丽, 毕森, 韩瑞丹 . 海南城市发展进程遥感监测分析与模拟[J]. 应用科学学报, 2018 , 36(5) : 798 -807 . DOI: 10.3969/j.issn.0255-8297.2018.05.007

Abstract

For two different types of cities of Hainan Province, the urban expansion of Haikou City and Sanya City during 2000-2015 was analysed and monitored by the combination of the pixel unmixing model and decision tree method. Furthermore, we simulated the distribution pattern of the urban land usage in 2020 based on CLUE-S model, and compared the differences of urban development between the two cities. Simulation results show that Haikou City and Sanya City will have substantial expansions in 15 years, especialy Sanya City will be expended 3.4 times. Experiments show that the combination of the pixels unmixing model and CLUE-S model can provide more detail information on the urban development process, and is helpful to urban planning and land resources decisionmaking.

参考文献

[1] 陈明星,陆大道,张华. 中国城市化水平的综合测度及其动力因子分析[J]. 地理学报,2009, 64(4):387-398. Chen M X, Lu D D, Zhang H. Comprehensive evaluation and the driving factors of China's urbanization[J]. Acta Geographica Sinica, 2009, 64(4):387-398. (in Chinese)
[2] 杨保军,赵群毅,查克,徐有钢. 海南发展的战略转型与空间应对——写在"国际旅游岛"建设之初[J]. 城市规划学刊,2011(2):8-15. Yang B J, Zhao Q Y, Zha K, Xu Y G. Strategic transformation of Hainan and sptial measures for the construction of "International Tourism Islan"[J]. Urban Planning Forum, 2011(2):8-15. (in Chinese)
[3] 万励,金鹰. 国外应用城市模型发展回顾与新型空间政策模型综述[J]. 城市规划学刊,2014(1):81-89. Wan L, Jin Y. Review on applied urban modeling and new trends of urban spatial police models[J]. Urban Planning Forum, 2014(1):81-89. (in Chinese)
[4] 贾凌,都金康,赵萍,张友水. 基于TM的海南省土地利用/覆盖动态变化的遥感监测和分析[J]. 遥感信息,2003(1):22-25. Jia L, Du J K, Zhao P, Zhang Y S. Land use dynamic monitoring in Hainan by TM data[J]. Remote Sensing Information, 2003(1):22-25. (in Chinese)
[5] 王浩,卢善龙,吴炳方,李晓松. 不透水面遥感提取及应用研究进展[J]. 地球科学进展,2013, 28(2):327-336. Wang H, Lu S L, Wu B F, Li X S. Advances in remote sensing of impervious surfaces extraction and its applications[J]. Advances in Earth Science, 2013, 28(2):327-336. (in Chinese)
[6] 徐涵秋,王美雅. 地表不透水面信息遥感的主要方法分析[J]. 遥感学报,2016, 20(5):1270-1289. Xu H Q, Wang M Y. Remote sensing-based retrieval of ground impervious surfaces[J]. Journal of Remote Sensing, 2016, 20(5):1270-1289. (in Chinese)
[7] Wu C S. Quantifying high-resolution impervious surfaces using spectral mixture analysis[J]. International Journal of Remote Sensing, 2009, 30(11):2915-2932.
[8] Yu T, Ke C Q. The simulation of the land use change of Nanjing based on CLUE-S model[J]. Science of Surveying & Mapping, 2010, 35(1):186-64.
[9] Mei Z, Wu H, Li S. Simulating land-use changes by incorporating spatial autocorrelation and self-organization in CLUE-S modeling:a case study in Zengcheng District, Guangzhou, China[J]. Frontiers of Earth Science, 2017, 12(1):1-12.
[10] 李娜,张丽,闫冬梅,杨林平. 基于CLUE-S模型的天津滨海新区土地利用变化情景模拟[J]. 遥感信息,2013, 28(3):62-68. Li N, Zhang L, Yan D M, Yang L P. Land use change prediction for Tianjin Binhai new area[J]. Remote Sensing Information, 2013, 28(3):62-68. (in Chinese)
[11] 黄明,张学霞,张建军,赵紫阳,茹豪. 基于CLUE-S模型的罗玉沟流域多尺度土地利用变化模拟[J]. 资源科学,2012, 34(3):769-776. Hang M, Zhang X X, Zhang J J, Zhao Z Y, Ru H. A multi-scale simulation of land use change in Luoyugou watershed based on CLUE-S model[J]. Resources Science, 2012, 34(3):769-776. (in Chinese)
[12] Han H, Yang C, Song J. Scenario simulation and the prediction of land use and land cover change in Beijing, China[J]. Sustainability, 2015, 7(3):4260-4279.
[13] 戴声佩,张勃. 基于CLUE-S模型的黑河中游土地利用情景模拟研究——以张掖市甘州区为例[J]. 自然资源学报,2013, 28(2):336-348. Dai S P, Zhang B. Land use change scenarios simulation in the middle reaches of the Heihe River Basin based on CLUE-S model:a case study of Ganzhou Cistrict of Zhangye City[J]. Journal of Natural Resources, 2013, 28(2):336-348. (in Chinese)
[14] 胡德勇,李京,陈云浩,张兵,彭光雄. 基于多时相Landsat数据的城市扩张及其驱动力分析[J]. 国土资源遥感. 2006, 18(3):46-49. Hu D Y, Li J, Chen Y H, Zhang B, Peng G X. An analysis of urban exparnsion and its dynamics based on multi-temporal Landsat data[J]. Remote Sensing For Land & Resources, 2006, 18(3):46-49. (in Chinese)
[15] 胡耀文,尹强. 海南省空间规划的探索与实践——以《海南省总体规划(2015-2030)》为例[J]. 城市规划学刊,2016, (2):55-62. Hu Y W, Yin Q. Exploration of spatial planning practice in Hainan Province:the case of Hainan comprehensive planning (2015-2030)[J]. Urban Planning Forum, 2016, (2):55-62. (in Chinese)
[16] 方创琳,刘晓丽,蔺雪芹. 中国城市化发展阶段的修正及规律性分析[J]. 干旱区地理,2008, 31(3):512-523. Fang C L, Liu X L, Lin X Q. Stages correction and regularity analysis of urbanization course of China[J]. Arid Land Geography, 2008, 31(3):512-523. (in Chinese)
[17] Nor A N M, Corstanje R, Harris J A, Brewer T. Impact of rapid urban expansion on green space structure[J]. Ecological Indicators, 2017, 81:274-284.
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