Temporal-spatial analysis of dynamic change for grassland in the western part of Songnen Plain of China

Liping Chang; Yangzhen Zhang; Shuwen Zhang; Ying Li; Zhiqiang Gao

doi:10.1117/12.561578

9 November 2004 Temporal-spatial analysis of dynamic change for grassland in the western part of Songnen Plain of China

Liping Chang, Yangzhen Zhang, Shuwen Zhang, Ying Li, Zhiqiang Gao

Proceedings Volume 5544, Remote Sensing and Modeling of Ecosystems for Sustainability; (2004) https://doi.org/10.1117/12.561578
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

Citation Download Citation

Liping Chang, Yangzhen Zhang, Shuwen Zhang, Ying Li, and Zhiqiang Gao "Temporal-spatial analysis of dynamic change for grassland in the western part of Songnen Plain of China", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); https://doi.org/10.1117/12.561578

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KEYWORDS

Vegetation

Data modeling

Remote sensing

Agriculture

Data acquisition

Associative arrays

Environmental sensing

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