Analysis to Shenyang urban expansion by using multi-source remote sensing images

Author

Baodong, Ma ; Lixin, Wu ; Shanjun, Liu

Author_Institution

Inst. for Geoinformatics & Digital Mine Res., Northeastern Univ., Shenyang, China

fYear

2009

fDate

20-22 May 2009

Firstpage

1

Lastpage

5

Abstract

By the help of remote sensing techniques, urban growth of Shenyang was monitored. On the one hand, multisource and multi-temporal images were classified into two classes, built-up area and non-built-up area. Then urban expansion was depicted clearly during the past 28 years. On the other hand, NDVI data from 1999 to 2007 were processed to indicate the change of vegetation, which would be affected by urban growth. Furthermore, policy, GDP and population data were collected to explain the results.

Keywords

image classification; remote sensing; vegetation; AD 1999 to 2007; CCD image; China; GDP; NDVI data; Normalized Difference Vegetation Index; Shenyang urban expansion; built-up area image; image classification; multi-source remote sensing image; non-built-up area image; urban growth monitoring; vegetation; Charge coupled devices; Cities and towns; Disaster management; Government; Image analysis; Remote monitoring; Remote sensing; Satellites; Urban areas; Vegetation mapping; NDVI; multi-source; multi-temporal; remote sensing; urban growth; variation detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event, 2009 Joint

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3460-2

Electronic_ISBN

978-1-4244-3461-9

Type

conf

DOI

10.1109/URS.2009.5137575

Filename

5137575