The detection of vegetation change in Wuhan City based on object-oriented method

Author

Han, Chen ; Maolin, Chen ; Jincheng, Shi ; Run, Huang ; Jun, Yan

Author_Institution

Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

2505

Lastpage

2508

Abstract

Vegetation is one of the most important parts of the city´s ecological system, which has a great significance to improve the quality of city´s environment and citizens´ life quality. In this study the TM images of 1993, 1998, 2002 and 2005 are used as data resources, eCognition software and the method of object-oriented classification are used to extract vegetation information. And on this basis, the features and causes of temporal and spatial changes of vegetation in Wuhan are analyzed.

Keywords

agriculture; ecology; environmental science computing; object-oriented methods; pattern classification; vegetation; Wuhan City; citizen life quality; eCognition software; ecological system; environment quality; object-oriented classification; object-oriented method; vegetation change detection; vegetation information; Accuracy; Buildings; Cities and towns; Data mining; Image segmentation; Indexes; Vegetation mapping; Change detection; Multiscale segmentation; Object-oriented classification; Wuhan city; Wuhan: TM image;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010872

Filename

6010872