首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Landsat影像的环胶州湾不透水面格局演变过程
引用本文:吴溪,郭斌,陈忠升,史文娇.基于Landsat影像的环胶州湾不透水面格局演变过程[J].资源科学,2018,40(11):2260-2269.
作者姓名:吴溪  郭斌  陈忠升  史文娇
作者单位:1. 山东科技大学测绘科学与工程学院,青岛 266590
2. 西华师范大学国土资源学院,南充 637002
3. 中国科学院地理科学与资源研究所,陆地表层格局与模拟重点实验室,北京 100101
基金项目:国家自然科学基金项目(41807170);山东省自然科学基金项目(ZR2017BD021)
摘    要:不透水面是影响城市生态环境的关键因子,及时、精确地掌握不透水面的动态变化对城市的发展规划具有重要指导意义。本文以环胶州湾为例,基于1990年、1995年、2000年、2005年、2011年Landsat TM影像和2016年Landsat OLI影像,采用线性光谱混合分析和决策树相结合的方法分析了环胶州湾不透水面格局演变过程。结果表明:①本文提取的1990—2016年环胶州湾不透水面丰度与验证数据的决定系数R2均在0.70以上,均方根误差RMSE均在16.70%以下。②环胶州湾不透水面面积由1990年的105.17km2增长到2016年的620.02km2,总的扩展方向为由南向北、向东和向西移动。③1990年城阳区成为辅助市区发展的重心,现由城阳区逐渐向黄岛区、崂山区、即墨区和胶州市发展。

关 键 词:发展重心  不透水面  Landsat  时空分布  环胶州湾  
收稿时间:2018-06-12
修稿时间:2018-08-24

Spatio-temporal dynamic characterization of impervious surface in the Jiaozhou Bay based on Landsat imagery
Xi WU,Bin GUO,Zhongsheng CHEN,Wenjiao SHI.Spatio-temporal dynamic characterization of impervious surface in the Jiaozhou Bay based on Landsat imagery[J].Resources Science,2018,40(11):2260-2269.
Authors:Xi WU  Bin GUO  Zhongsheng CHEN  Wenjiao SHI
Institution:1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2. School of Land and Resources, China West Normal University, Nanchong 637002, China
3. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Abstract:Impervious surface areas (ISA) are key factor of affecting urban ecological environments. Information on ISA distribution and dynamics was useful for the planning and development of cities. This study explored a hybrid method consisting of linear spectral mixture analysis (LSMA) on the basis of vegetation-high albedo-low albedo-soil model (V-H-L-S), and regression tree (RT) for estimation of ISA in the Jiaozhou Bay. Medium-resolution remote sensing data (Landsat TM images in 1990, 1995, 2000, 2005, 2011, and Landsat OLI images in 2016) were used as basic data. Then the spatial and temporal distributions of ISA from 1990 to 2016 were identified in the Jiaozhou Bay based on the estimation of ISA. In addition, the regional development center of gravity was located by the extended index and buffer zone. The results demonstrated that the coefficients of determination (R2) of ISA in 1990, 1995, 2000, 2005, 2011, and 2016 were greater than 0.70 and their root mean square error (RMSE) were less than 16.70%. It is noted that the hybrid method consisting of LSMA and RT for estimation of ISA is feasible. The ISA increased from 105.17 km2 in 1990 to 620.02 km2 in 2016 in the Jiaozhou Bay. The expansion trend was from south to north, east to west. The area of ISA was increasing, but the increasing rate of ISA did show a little change. From 1990 to 1995, the expansion intensity of ISA was the largest, which was much larger than other periods. Downtown has always been the center of urban development, then Chengyang has become the focus of auxiliary urban since 1990. However, the trend was from Chengyang to Laoshan in 1993, Jiaozhou and Jimo in 2005, and Huangdao in 2011. This study will provide scientific foundation for the development and construction of sponge city in the Jiaozhou Bay.
Keywords:development center  impervious surface areas  Landsat  spatio-temporal distribution  the Jiaozhou Bay  
本文献已被 CNKI 等数据库收录!
点击此处可从《资源科学》浏览原始摘要信息
点击此处可从《资源科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号