DocumentCode
2144472
Title
Ecological footprint research based on RS and GIS in Hexi Corridor, China
Author
Chang, Bin ; Xiong, Liya
Author_Institution
Inst. of Geogr. Sci., Chinese Acad. of Sci., Beijing
Volume
7
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
4643
Abstract
The ecological footprint analysis is a concise quantitative method of the natural capital consumption measurement by tracking the footprint of energy sources and resources consumption in a region. This approach provides an estimate for the necessary land area to sustain current consumption levels of resources within a given population, and compares with the area of biologically productive land available. It can judge if the consumption pattern is sustainable. This paper, applying the methods of questionnaire and remote sensing image analysis, seeks to explore a modified method for ecological footprint analysis. The new method applies questionnaire in ecological footprint and does remote sensing image analysis in ecological capacity. It judges the ecological status by comparing the above results. In addition, this scheme predicts the ecological footprint based on the consumption and population models and the ecological capacity by Cellular Automata. Furthermore, future ecological status can be judged by comparing the ecological footprint with the ecological capacity
Keywords
cellular automata; ecology; energy resources; geographic information systems; geophysical signal processing; image processing; natural resources; terrain mapping; Cellular Automata; China; GIS; Hexi Corridor; RS; biologically productive land; ecological footprint research; energy consumption pattern; energy resources consumption; natural capital consumption measurement; population models; remote sensing image analysis; Biological system modeling; Content addressable storage; Economic forecasting; Energy measurement; Gain measurement; Geographic Information Systems; Image analysis; Power generation economics; Predictive models; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1370192
Filename
1370192
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