Remote sensing monitoring of grass growing in grassland ecosystems of China

文献类型： 外文期刊

第一作者： Qin, Zhihao

作者： Qin, Zhihao;Xu, Bin;Tao, Weiguo

作者机构：

关键词： grassland growing;grassland types;grassland degradation;pasture;remote sensing

期刊名称：GEOINFORMATICS 2007: REMOTELY SENSED DATA AND INFORMATION, PTS 1 AND 2

ISSN： 0277-786X

年卷期： 2007 年 6752 卷

页码：

收录情况： SCI

摘要： Grassland degradation in grassland ecosystems of China has been highly concerned in recent decades. Grassland growing is an important element for identification of grassland degradation. In this paper we intend to develop an applicable method for grassland growing monitoring in China using the EOS/MODIS data. Firstly the normalized difference of vegetation index (NDVI) can be calculated from April to October within grassland growing period in 2005 and 2006. In order to evaluate the grassland growing, vegetation index R was proposed, which was calculated from the NDVI value difference of the two years 2006 and 2005. According to the R value, five grades (from grade1 to grade5) were obtained: worse, slightly worse, balance, slightly better and better. Grassland region in China can be divided into a number of small sub-regions for determination of different regions and grassland types. Our results indicate that grassland growing was better in 2006 than in 2005. The grassland with balance, slight better and better growing accounted for 71.43% of the total grassland area, the area is 251.42 thousand KM2. The overall growing of 2006 is: Grade3 > Grade4 > Grade2 > Grade5 > Grade LValuation of the grassland growing is thus urgently required for better administration of the grassland ecosystem for sustainable development.

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