信号与信息处理

基于不透水面的海南港口城市扩张分析

展开
  • 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

收稿日期: 2016-07-27

  修回日期: 2016-11-25

  网络出版日期: 2017-05-30

基金资助

海南省科技合作专项资金(No.KJHZ2015-14);2016年海南省重大科技计划项目基金(No.ZDKJ2016021)资助

Analysis of Expansion of Port Cities in Hainan Province Based on Impervious Surface

Expand
  • 1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    2. Key Laboratory for Earth Observation of Hainan Province, Sanya 572029, Hainan Province,China

Received date: 2016-07-27

  Revised date: 2016-11-25

  Online published: 2017-05-30

摘要

利用Landsat TM与OLI影像,结合V-I-S模型与线性光谱混合模型,综合NDBI、SAVI等指数,提取海南省海口市和三亚市的不透水面信息,并分析其空间变化特征。结果显示,近15年(1999~2015)来两市不透水面均呈现由沿海向内陆扩张的趋势。海口市不透水面主要向南部和西部扩张,三亚市不透水面扩张方向较分散。海口和三亚城市扩张速度较快,两市不透水面占两市的面积比例均增长了2倍以上。两市人口、GDP、不透水面均逐年增长,但人口增长较为平缓,GDP与不透水面增长较为显著。实验表明,将线性光谱混合模型与NDBI、SAVI指数相结合,可在一定程度上减少裸土、盐碱地等对不透水面信息的干扰,改善不透水面的估算效果。

本文引用格式

毕森, 王恒, 张丽, 李通, 刘东, 韩瑞丹 . 基于不透水面的海南港口城市扩张分析[J]. 应用科学学报, 2017 , 35(3) : 346 -354 . DOI: 10.3969/j.issn.0255-8297.2017.03.008

Abstract

Based on Landsat TM and OLI data, integrating V-I-S and the linear spectral mixture model and some remote sensing indices such as NDBI and SAVI, this study derives impervious surface information of Haikou and Sanya of Hainan Province, and analyzes their temporal and spatial variations. During the past 15 years (1999~2015), impervious surfaces of both cities expanded from coastal areas to inland. The impervious surface of Haikou increased mainly in the southern and western areas, whereas that of Sanya increased at varied directions. As urbanization of both Haikou and Sanya proceeded at a high speed, proportions of impervious surface of these two cities have doubled. Population, GDP and impervious surface of both Haikou and Sanya rises every year, in which population increases slowly and steadily, while GDP and impervious surface increases signifcantly. By integrating a linear spectral mixture model and SAVI and NDBI indices, interference from bare soil and saline-alkali land to the information of impervious surface can be reduced, and estimation accuracy of the impervious surface improved.

参考文献

[1] 刘盛和. 城市土地利用扩展的空间模式与动力机制[J]. 地理科学进展,2002, 21(1):43-50. Liu S H. Spatial patterns and dynamic mechanisms of urban land use growth[J]. Progress in Geography, 2002, 21(1):43-50. (in Chinese)
[2] 陆大道,姚士谋. 中国城镇化进程的科学思辨[J]. 人文地理,2007, 122(4):1-5. Lu D D, Yao S M. A scientifc thought about urbanization progress in China[J]. Human Geography, 2007, 122(4):1-5. (in Chinese)
[3] 关妙春,佘济云,程玉娜. 海南省城市化与生态环境耦合研究[J]. 中南林业科技大学学报(社会科学版),2015, 9(5):44-49. Guan M C, She J Y, Cheng Y N. Coupling research of Hainan Province's urbanization and ecoenvironment[J]. Journal of Central South University of Forestry & Technology (Social Sciences), 2015, 9(5):44-49. (in Chinese)
[4] Arnold J R, Gibbons J C. Impervious surface coverage:the emergence of a key environmental indicator[J]. Journal of the American Planning Association, 1996, 62(2):243-258.
[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(3):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(3):327-336. (in Chinese)
[6] 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, 18(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, 18(1):22-25. (in Chinese)
[7] 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)
[8] Ridd M K. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing:comparative anatomy for cities[J]. International Journal of Remote Sensing, 1995, 16(12):2165-2185.
[9] Wu C, Murray A T. Estimating impervious surface distribution by spectral mixture analysis[J]. Remote Sensing of Environment, 2003, 84(4):493-505.
[10] 陶秋香,陶华学,张连蓬. 线性混合光谱模型在植被高光谱遥感分类中的应用研究[J]. 勘察科学技术,2004, 22(1):21-24. Tao Q X, Tao H X, Zhang L P. Study on applying linear mixing spectral model in vegetation classifcation using hyperspectral remote sensing[J]. Site Investigation Science and Technology, 2004, 22(1):21-24. (in Chinese)
[11] 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报,2005, 9(5):589-595. Xu H Q. A study on information extraction of water body with the modifed normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005, 9(5):589-595. (in Chinese)
[12] 占红,臧淑英,吴长山,李苗,李斌侠. 城市不透水面扩张对地表径流量的影响[J]. 水资源与水工程学报,2015, 26(6):54-60. Zhan H, Zang S Y, Wu C S, Li M, Li B X. Impact of urban impervious surface expansion on runoff[J]. Journal of Water Resources & Water Engineering, 2015, 26(6):54-60. (in Chinese)
[13] 卢梦哲,黄险峰. 三亚生态现状及规划对策[J]. 中国名城,2014(9):26-29. Lu M Z, Huang X F. Current ecological status of Sanya and its strategic planning[J]. China Ancient City, 2014(9):26-29. (in Chinese)
[14] 杨桂山. 长江三角洲耕地数量变化趋势及总量动态平衡前景分析[J]. 自然资源学报,2002, 17(5):525-532. Yang G S. Cropland area change and the probability of maintaining dynamic balance of its amount in the Yangtze River Delta[J]. Journal of Natural Resources, 2002, 17(5):525-532. (in Chinese)
[15] 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(4):46-49. Hu D Y, Li J, Chen Y H, Zhang B, Peng G X. A study on urban heat island effect in Quanzhou City during its urbanization period[J]. Remote Sensing for Land & Resources, 2006(4):46-49. (in Chinese)

文章导航

/