Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS

Dynamic Monitoring of Urban Expansion in the Region around Hangzhou Bay

  • 1. Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing 210044;
    2. Shaoxing City Meteorological Bureau in Zhejiang Province, Shaoxing 313000, China

Received date: 2007-06-26

  Revised date: 2007-09-29

  Online published: 2008-03-25


Taking the region around Hangzhou Bay as a study area, the urban land information was extracted from TM images of 2003 and 2006 through the decision tree method together with the shape index. And the characteristics of urban expansion in cities of Hangzhou, Shaoxing and Ningbo were further discussed. The overall Kappa coefficients of urban land were all above 0.87 through precision test and proved that: it was feasible to extract the information of the urban land. The area of urban land in 2003 and 2006 was 914.04 km2 and 1286.1 km2 respectively. A net increase of the urban land in the study area within four years was 372.06km2, and the number was 192.6km2 in the major cities; the increase of urban area in Hangzhou, Shaoxing and Ningbo was 43.7 km2; and that of the others was 145.6 km2.It revealed that the small cities played a dominant role in the process of urbanization, but the bigger cities’ were relative weak. The urban land in Hangzhou and Shaoxing expanded obviously, and especially the expansion of Xiasha district in Hangzhou and Paojiang industrial park in Shaoxing were more remarkable. However, the smallest expansion occurred in Ningbo, especially in Yuyao urban district. In expansion direction, Hangzhou urban districts mainly developed toward northwest and north; while Ningbo urban district spread in all directions evenly.

Cite this article

SUN Shan-lei, ZHOU Suo-quan, WEI Guo-shuan, JI Zong-wei, CHEN Hong-mei . Dynamic Monitoring of Urban Expansion in the Region around Hangzhou Bay[J]. JOURNAL OF NATURAL RESOURCES, 2008 , 23(2) : 327 -335 . DOI: 10.11849/zrzyxb.2008.02.017


[1] 赵书河,冯学智,都金康.基于遥感与GIS的县级土地利用的时空变化分析[J].测绘通报,2003,(3):16~18. [2] 刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996. [3] R Welch. Monitoring urban population and energy utilization patterns from satellite data[J]. Remote Sensing of Environment,1980,9:1-9. [4] Barry Haack, Nevin Bryant, Steven Adams. An assessment of Landsat MSS and TM data for urban and near-urban land-cover digital classification[J]. Remote Sensing of Environment,1987,221:201-213. [5] Curran P J, Pedley M I. Airborne MSS for land cover classification Ⅱ[J]. Geocarto Intenational,1990,5:15-26. [6] Harris P M, Ventura S J. The integration of geographic data with remotely sensed imagery to improve classification in an urban area[J]. Photogrammetric Engineering and Remote Sensing,1995,61:993-998. [7] Gao J, Skillcorn D. Capability of SPOT XS data in producing detailed land cover maps at the urban-rural periphery[J]. International Journal of Remote Sensing,1998,19:2877-2891. [8] 潘剑君,邹军.运用TM遥感图像监测扬中市土地利用状况的变化[J].南京农业大学学报,1997,20(2):46~54. [9] 尚东.利用遥感技术进行中山市土地覆盖变化监测的初步研究[J].遥感信息,1996,(2):12~15. [10] 杨存建,周成虎.TM影像的居民地信息提取方法研究[J].遥感学报,2000,4(2):146~150. [11] 黎夏.形状信息的提取与计算机自动分类[J].环境遥感,1995,10(4):279~287. [12] 赵萍,冯学智,林广发.SPOT卫星影像居民地信息自动提取的决策树方法研究[J].遥感学报,2003,7(4):309~315. [13] 沙晋明,甘淑,王人潮,等.绍兴市城镇用地扩展的遥感监测[J].国土资源遥感.1998, 3(37):51~55, 60. [14] 赵萍,冯学智,王雷,等.江南丘陵区土地利用/覆被分类[J].南京大学学报(自然科学),2003,39(3):404~410. [15] 李加林,许继琴,童亿勤,等.杭州湾南岸滨海平原土地利用/覆被空间格局变化分析[J].长江流域资源与环境,2005,14(6):709~714.