DocumentCode :
2710719
Title :
Extracting indication information of floating population using SPOT5 and ground data: A case study of Xiamen, P. R. China
Author :
Yan, Xiaoxia ; Lin, Guangfa ; Lin, Lijie
Author_Institution :
Fujian Provincial Eng. Res. Center for Monitoring & Assessing Terrestrial Disasters, Fujian Normal Univ., Fuzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
The floating population (FP) is a concept in the background of China´s particular household registration system. Most of the reported researches on FP were conducted with the census data and few of them concerned the potential value of remotely sensed (RS) data in the area. A methodology was described on how to extract indication information of the spatial distribution of FP using SPOT5 and ground data. The census data and the pollution source were obtained by field survey in Xiamen, P. R. China on the subdistrict scale in 2007. Meanwhile the land use and cover information was extracted from the fused SPOT5 image of the same temporality. According to the distribution of FP and pollution source point data, the built-up area was classified. The correlationships between FP and total population, type of built-up area, distribution of point source pollution respectively, were explored with SPSS (Statistic Package for Social Science).
Keywords :
demography; geographic information systems; statistical analysis; China particular household registration system; SPOT5; Xiamen; census data; cover information; floating population; ground data; indication information; land use; point source pollution; pollution source; remotely sensed data; social science; statistic package; Buildings; Cities and towns; Economics; Pollution; Production facilities; Remote sensing; Census Data; Floating Population; Remote Sensing; SPOT5;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980956
Filename :
5980956
Link To Document :
بازگشت