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Proceedings Paper

Temporal-spatial analysis of dynamic change for grassland in the western part of Songnen Plain of China
Author(s): Liping Chang; Yangzhen Zhang; Shuwen Zhang; Ying Li; Zhiqiang Gao
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Paper Abstract

Songnen Plain is located in the intersection area of agriculture and forestry in Jilin Province and Heilongjiang Provinces of Northeast China. In recent years, grasslands in the area have gradually decreased year by year due to the unplanned use in a large scale, being the most typical pattern in study on regional land use and cover change. This paper has well utilized the remote sensing imagery and regional feature analysis approach (referred to as geoanalysis) to model its dynamic change based on the survey data. Combination of remote sensing information and field investigation data, we did an analysis on its driving force in light of the regional characteristics and the policies of rapid economic development put forward by Chinese Government. In practice, mapping the grasslands in 1986, 1996 and 2002 respectively was carried out to overlay each other and extract these varied patches with a feature, and thus a trend map of its development was compiled towards a decade to come. Finally, author brought up an idea how to better utilize grasslands in the area on the basis of the regional feature of China.

Paper Details

Date Published: 9 November 2004
PDF: 8 pages
Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.561578
Show Author Affiliations
Liping Chang, Northeast Institute of Geography and Agricultural Ecology, CAS (China)
Yangzhen Zhang, Northeast Institute of Geography and Agricultural Ecology, CAS (China)
Shuwen Zhang, Northeast Institute of Geography and Agricultural Ecology, CAS (China)
Ying Li, Northeast Institute of Geography and Agricultural Ecology, CAS (China)
Zhiqiang Gao, Institute of Geographic Sciences and Natural Resources Research, CAS (China)


Published in SPIE Proceedings Vol. 5544:
Remote Sensing and Modeling of Ecosystems for Sustainability
Wei Gao; David R. Shaw, Editor(s)

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