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10 July 2009 Grassland dynamics and its driving forces in western Northeast China
Liping Chang, Jiuchun Yang, Shuwen Zhang, Yangzhen Zhang
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Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 749027 (2009) https://doi.org/10.1117/12.837334
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
The study area including Kerqin Pasture and the farming-pastoral ecotone of Songnen Plain, is located in the western Northeast China. It is a natural protective screen for the Northeast Plain, which is the most important one of national food bases, to ensure the food supply security and ecological security. Based on the Landsat5/TM and ETM remote sensed images of 1986, 1996 and 2000, the grassland dynamic characteristics of the above two parts of the study area, including change area, transformation, change velocity, are analyzed respectively by land use/land cover spatial change models. The results show that, the grassland area of Kerqin Pasture decreased by 3,200 km2, while that of the western Songnen Plain decreased by 4,800 km2. It was mainly due to grassland reclamation activities driven by rapid population expansion. According to the results of regional differences got by GIS technique, in Kerqin Pasture, the dynamic degree in Shuangliao county of Jilin province is the largest, up to 2.7%, while the value of Alukerqin Banner is much smaller, and the grassland is well protected. In the western Songnen Plain, the dynamic degree in Baicheng and Taonan of Jilin province is more than 4%, primarily caused by grassland reclamation as well. By contrast, the grassland in Anda city and Qinggang county of Heilongjiang province took a turn for the better with active protection and improvement measures.
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Liping Chang, Jiuchun Yang, Shuwen Zhang, and Yangzhen Zhang "Grassland dynamics and its driving forces in western Northeast China", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749027 (10 July 2009); https://doi.org/10.1117/12.837334
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KEYWORDS
Vegetation
Information security
Agriculture
Climatology
Data modeling
Earth observing sensors
Landsat
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