GIS-based dynamic analysis of land-use change and its ecological effects

Author

Li, Wan ; Ziqiang, Tian ; Youqi, Chen

Author_Institution

River & Coastal Environ. Res. Center, Chinese Res. Acad. of Environ. Sci., Beijing, China

Volume

1

fYear

2010

fDate

17-18 April 2010

Firstpage

85

Lastpage

88

Abstract

Remote Sensing (RS) and Geographic Information System (GIS) are important technologies for the sustainable management of ecological environment. In this paper, Landuse information is obtained by integrating the maximum likelihood classification (MLC) and neural network classification (NNC) method, which can realize the automatic extraction and recognition of land-use in Beijing City from remote sensing data. The characteristics of land-use and its ecological effects are quantified by developing regional ecological value index (EVI) and transfer rate of the ecological value (TREV). The results show that land-use information obtained by the combinative methodology of MLC and NNC is accurate, the land-use change closely associated with the rapid development and the urbanization. The EVI and TREV can make quantitative evaluation for the ecological environment and its evolution direction. From 1996 to 2005, the EVI in study area shows a downward trend. This result would be useful for establishing better future management strategies for ecological environment in urban-rural transition zones.

Keywords

ecology; geographic information systems; land use planning; neural nets; remote sensing; Beijing City; ecological effects; ecological value index; geographic information system; land-use change; maximum likelihood classification; neural network classification method; remote sensing; sustainable management; Chaos; Cities and towns; Environmental management; Geographic Information Systems; Information analysis; Neural networks; Remote sensing; Resource management; Rivers; Water resources; Geographic Information System(GIS); Remote Sensing(RS); ecological effect; land use; neural network classification(NNC);

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-5514-0

Type

conf

DOI

10.1109/EDT.2010.5496515

Filename

5496515