Research of urban greenbelt monitoring based on GPS and RS data

Author

Jiudong, Yang ; Fenghua, Wu ; Deqing, Gan ; Jun, Dong ; Jingping, Dai

Author_Institution

China University of Mining and Technology, Beijing, China

fYear

2010

fDate

4-6 Dec. 2010

Firstpage

2326

Lastpage

2329

Abstract

Urban afforesting and greening construction is the basic strategy for landscaping and ecological optimization. Based on 7 scenes of TM imagery covering Fengrun district, Tangshan city during 2001 and 2009, after relative raster preprocessing like geometric correction, image clipping and enhancement, band combination is conducted by means of calculating the principal component of TM image and correlation coefficient of the normalized difference vegetation index (NDVI); in addition it is confirmed that unsupervised classification method can extract greenbelt information more quickly and accurately after comparing both the unsupervised classification and supervised classification method for greenbelt information extraction in the research area.

Keywords

Cities and towns; Data mining; Feature extraction; Global Positioning System; Green products; Principal component analysis; Remote sensing; Afforesting and Ggreening; Remote sensing; Supervised classification; Unsupervised classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Conference_Location

Hangzhou, China

Print_ISBN

978-1-4244-7616-9

Type

conf

DOI

10.1109/ICISE.2010.5691969

Filename

5691969