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应用科学学报 ›› 2017, Vol. 35 ›› Issue (3): 346-354.doi: 10.3969/j.issn.0255-8297.2017.03.008

• 信号与信息处理 • 上一篇    下一篇

基于不透水面的海南港口城市扩张分析

毕森1,2, 王恒1, 张丽1,2, 李通1, 刘东1, 韩瑞丹1   

  1. 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 出版日期:2017-05-30 发布日期:2017-05-30
  • 通信作者: 张丽，研究员，研究方向：生态遥感，E-mail：zhangli@radi.ac.cn E-mail:zhangli@radi.ac.cn
  • 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

BI Sen1,2, WANG Heng1, ZHANG Li1,2, LI Tong1, LIU Dong1, HAN Rui-dan1   

  1. 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:2016-07-27 Revised:2016-11-25 Online:2017-05-30 Published:2017-05-30

PDF

263

被引次数

2

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。

关键词: 城市扩张, 光谱混合模型, 海南省, 遥感监测, 不透水面

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.

Key words: remote sensing monitoring, impervious surface, Hainan Province, urban expansion, spectral mixture model

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