Characterizing Urban growth of Nanjing, China, by using multi-stage remote sensing images and landscape metrics

Characterizing Urban growth of Nanjing, China, by using multi-stage remote sensing images and landscape metrics
复制标题

DOI:
10.1109/urs.2009.5137487
复制
发表时间:
2009-05
期刊:
2009 Joint Urban Remote Sensing Event
影响因子:
--
通讯作者:
Jun Wang;W. Ju;Manchun Li
Jun Wang;W. Ju;Manchun Li
中科院分区:
其他
文献类型:
--
作者:
Jun Wang;W. Ju;Manchun Li

文献摘要

被引文献

相似文献

与传统的社会经济指标(例如人口增长,就业转变等)相比,遥感技术在探索城市化的时空趋势方面具有优势。可以使用大都市,城市或地区一级的多尺度分析方法有效地确定城市变化和增长的细节。在这项研究中,通过使用多阶段遥感图像和景观指标研究了1988年至2007年中国南京城市增长的时间和空间特征。结果表明,土地利用变化表现出从城市到郊区的独特空间差异。从2000年到2007年,城市的总扩张速度比1988年至2000年的时期要快。由于人口的增加,经济发展和政府政策的增加,城市建设区的扩张速度扩大了。土地使用变化导致的各种景观指标表明,在研究期间,每个行政区的城市化的一般趋势和细节空间模式。这项研究还证实,多阶段遥感图像分析与景观指标的结合是表征南京中城市化的复杂空间模式的有效方法。
Remote sensing technique has advantages in exploring the spatiotemporal trends of urbanization compared with traditional socioeconomic indicators (e.g. population growth, employment shifts, etc.). Details in urban change and growth can be effectively identified using multi-temporal images of remote sensing by multi-scales analysis approaches at the metropolitan, city or district level. In this study, the temporal and spatial characteristics of urban growth of Nanjing, China from 1988 to 2007 were investigated by using multi-stage remote sensing images and landscape metrics. The results show that land use changes exhibit distinctive spatial differences from the urban zone to the suburban districts. The total urban expansion was faster in the period from 2000 to 2007 than in the period from 1988 to 2000. Urban built-up area expanded due to the increased population and rapid economic development and government policy led to the rapid growth towards the Jiangning district area. The variety of landscape metrics results from land use changes indicate the general trend and detail spatial pattern of urbanization in each administrative district during the study period. This study also confirms that the combination of multistage remote sensing images analysis with landscape metrics is an effective way in characterizing the complex spatial patterns of urbanization in Nanjing well.