DocumentCode
1990680
Title
The Application of RS in Wetland Ecosystem Health Assessment: A Case Study of Dagu River Estuary
Author
Fu, Hui ; Liu, Xiaodan ; Sun, Yinglan
Author_Institution
Coll. of Environ. Sci. & Eng., Ocean Univ. of China, Qingdao
Volume
2
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
279
Lastpage
282
Abstract
To investigate the state and degradation degree of wetland ecosystem in Dagu River estuary, the comprehensive assessment index (CEI) method was employed. A set of assessment indicator system was established based on the pressure-state-response (PSR) model. In this study, wetland landscape pattern and some data was interpreted from Landsat-TM images in 2000 and 2003 for the subsequent ecosystem health assessment. Eleven indicators were elaborated and standardized by determining uniform criterion. It is found that the wetland ecosystem health in Dagu River estuary was bad both in 2000 and 2003, and human disturbance was the most important factor influencing it. During the three years, the wetland landscape has suffered serious fragmentation, and there was a downtrend both in rationality of organization and in resistibility of the wetland ecosystem. Thus, the chief measure to protect Dagu River estuary wetland should be setting a limit to human development activities.
Keywords
ecology; geographic information systems; geophysics computing; land use planning; Dagu River estuary; Landsat-TM image; PSR model; assessment indicator system; comprehensive assessment index; degradation degree; fragmentation; human development activity; human disturbance; pressure-state-response model; wetland ecosystem health assessment; wetland landscape pattern; Degradation; Ecosystems; Educational institutions; Humans; Oceans; Pollution measurement; Protection; Remote sensing; Rivers; Satellites; Dagu River; Human disturbance; Pressure-State-Response (PSR); RS images; Wetland ecosystem health;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.16
Filename
5070360
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