Land Use/Cover Change in Mining Areas Using Multi-source Remotely Sensed Imagery

Author

Du, Peijun ; Zhang, Huapeng ; Liu, Pei ; Tan, Kun ; Yin, Zuoxia

Author_Institution

China Univ. of Min. & Technol., Xuzhou

fYear

2007

fDate

18-20 July 2007

Firstpage

1

Lastpage

7

Abstract

This paper assessed the advantages of monitoring and analyzing Land Use/Cover Change (LUCC) in mining areas via multi-source remotely sensed data. Comparing with the traditional and object-oriented classification methods, the support vector machine classifier is used to land cover classification based on Landsat TM/ETM+ and ASTER data. The landscape pattern indices on patch/class and landscape metrics are chosen to analyze and assess LUCC in mining areas and the land cover changes are derived. Finally, a framework of integrating multi-source and multi-temporal RS information for LUCC in mining areas is proposed.

Keywords

geophysical signal processing; image classification; mining; support vector machines; terrain mapping; vegetation mapping; ASTER data; Landsat ETM+ data; Landsat TM data; land cover change; land cover classification; land use change; landscape metrics; landscape pattern; mining areas; multisource remotely sensed imagery; multitemporal information; object-oriented classification; support vector machine classifier; Cities and towns; Data mining; Image analysis; Pattern analysis; Remote monitoring; Remote sensing; Satellites; Soil; Support vector machine classification; Support vector machines; Land Use/Cover Change (LUCC); change vector analysis; classification; landscape pattern index; mining areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the

Conference_Location

Leuven

Print_ISBN

1-4244-0846-6

Electronic_ISBN

1-4244-0846-6

Type

conf

DOI

10.1109/MULTITEMP.2007.4293074

Filename

4293074