• 遥感科学与应用技术 •

### 近20年京津唐地区不透水面变化的遥感监测

1. 1. 湖南师范大学资源与环境科学学院,长沙410081
2. 首都师范大学资源环境与旅游学院,北京100048
3. 北京师范大学地理科学学部遥感科学与工程研究院,北京100875
• 出版日期:2018-05-29 发布日期:2018-05-20
• 通讯作者: 朱翔 E-mail:xiangchao2008cn@163.com;zhuxiang8820000@aliyun.com
• 作者简介:

作者简介：向超(1974-)，男，博士生，主要从事资源开发与区域可持续发展研究。E-mail: xiangchao2008cn@163.com

• 基金资助:
国家“十二五”科技支撑计划项目（2012BAJ15B06-08)。

### Monitoring of the Impervious Surface with Multi-resource Remote Sensing Images in Beijing-Tianjin-Tangshan Urban Agglomeration in the Past Two Decades

XIANG Chao1(), ZHU Xiang1,*(), HU Deyong2, QIAO Kun3, CHEN Shanshan2

1. 1. College of Resources and Environment Sciences, Hunan Normal University, Changsha 410081, China
2. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
3. Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
• Online:2018-05-29 Published:2018-05-20
• Contact: ZHU Xiang E-mail:xiangchao2008cn@163.com;zhuxiang8820000@aliyun.com
• Supported by:
National Science & Technology Pillar Program during the Twelfth Five-year Plan Period, No.2012BAJ15B06-08.

Abstract:

Impervious surface refers to the surface unable to allow water to percolate through, such as pavements that are covered by impenetrable materials and rooftops. Increased impervious surface area is a consequence of urbanization. Impervious surface percent (ISP) is an indicator to quantify the urbanization level. Therefore, accurate mapping and estimation of ISP in Beijing-Tianjin-Tangshan urban agglomeration are significant for multi-city coordinated development and urban layout. Based on classification and regression tree (CART) algorithm, a technical scheme of extracting ISP which is suitable for Beijing-Tianjin-Tangshan urban agglomeration was constructed in this paper. High-resolution remote sensing data (i.e. QuickBird images), medium-resolution remote sensing data (i.e. Landsat TM images in leaf-on and leaf-off seasons), and nighttime light data were used as basic data in this scheme. Five-year ISP results from 1995 to 2016 were estimated to analyze the spatial-temporal evolution patterns of ISP using this scheme. The main conclusions are as follows: (1) The optimal input variables are the Landsat TM images in leaf-on and leaf-off seasons and the corresponding nighttime light data. Since the number of Landsat TM images in leaf-off season is less in line with the quality requirements, the alternative choice is to use the Landsat TM images in leaf-on season and the corresponding nighttime light data as the input variables. After the accuracy verification, the correlation coefficient (R) is about 0.85, which can meet the need of the comparison of ISP results between different years. (2) During 1995 to 2016, the total impervious surface area increased gradually in Beijing-Tianjin-Tangshan urban agglomeration. Within the period, the most dramatic growth was between the year 2011 and 2016. (3) ISP results were divided into areas with high-, medium- and low-density impervious cover. During 1995 to 2016, the high-density and medium-density impervious cover increased gradually in Beijing-Tianjin-Tangshan urban agglomeration, while the low-density impervious cover decreased slightly. The changes of ISP results in each stage were significantly different among cities of Beijing, Tianjin and Tangshan. It shows that the spatial-temporal evolution patterns are different in the process of urban expansion of each city.