Remote sensing of global change: Growth in China's Jiangsu province

被引:11
作者
Streets, D [1 ]
Chung, C [1 ]
Su, H [1 ]
机构
[1] ARGONNE NATL LAB,DIV ENVIRONM ASSESSMENT,ARGONNE,IL 60439
关键词
remote sensing; sustainable development; China; land use; urban development; agricultural production; industrial development;
D O I
10.1080/13504509509469906
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper examines how remote-sensing data and regional social and economic data can be used together to identify changes in land-use patterns in particular regions. Study of the spatiotemporal dynamics of remote-sensing data can identify trends in competing uses of land, water and other natural resources for agriculture, industrial development and urban settlements. When combined with information on trends in industrial production, population, agricultural production, pollutant releases, water usage and natural forest coverage, these data reveal patterns of anthropogenic disturbance that can provide early signals of problems in resource decline or land-use management. This study focuses on land-cover changes in southern Jiangsu Province of the People's Republic of China between 1976 and 1984. This region, to the west of Shanghai and to the south of the Yangtze River, experienced unprecedented economic growth after the end of the Cultural Revolution. Remote-sensing imagery reveals the rapid growth of urban centres, commensurate declines in surface water area, and changing patterns of agriculture. The observed changes cast doubt on the ability of the region to sustain such rapid and intense land-use conflicts over a long period.
引用
收藏
页码:257 / 266
页数:10
相关论文
共 21 条
[1]  
Anderson J, 1976, US GEOLOGICAL SURVEY, V964
[2]  
[Anonymous], 1992, CLIMATE CHANGE DUE G
[3]  
[Anonymous], 1986, INTRO DIGITAL IMAGE
[4]  
BERNSTEIN JD, 1994, 12 WORLD BANK URB MA
[5]  
BURKI SJ, 1992, 148 WORLD BANK DISC
[6]  
COWARDIN LM, 1979, FWSOBS7931 UUS FISH
[7]  
Davis, 1978, REMOTE SENSING QUANT
[8]  
Fei H., 1989, RURAL DEV CHINA PROS
[9]  
HO SPS, 1986, 757 WORLD BANK STAFF
[10]  
Hord R.M., 1982, DIGITAL IMAGE PROCES