基于MODIS数据的内蒙古草地植被退化动态监测研究
薛存芳, 张玮
中国农业大学信息与电气工程学院,北京100083
THE DYNAMIC VARIATION OF GRASSLAND VEGETATION
DEGENERATION BASED ON REMOTE SENSING MODIS DATA
XUE Cun-Fang, ZHANG Wei
College of Information and Electric Engineering| China Agriculture University, Beijing 100083|China
摘要 以内蒙古自治区为研究区,利用卫星遥感、GIS和GPS技术,在实地调查和样方测定的基础上,选用群种自然生殖枝高度、草
地植被覆盖度和草地生物量3个评价指标,并将其加权综合得到草地植被退化指数(GDI)。将GDI与提取的各种植被指数进行相关分
析,选出最能反映草地退化趋势且与植被退化指数线性拟合最好的植被指数——修正的土壤调节植被指数(MSAVI)。采用线性回归
方法建立草地植被退化的遥感监测模型,分析了研究区2002年~2006年草地植被退化的时空分布规律和变化趋势。研究表明,与2002
年相比,2006年内蒙古地区草地植被退化状况呈现整体改善、局部恶化的情况。
关键词 :
对象关系数据库 ,
SDE ,
地图数据 ,
空间数据 ,
属性数据
Abstract :With Inner Mongolia as the study area, the authors selected the height, coverage and biomass as the single
indices for the assessment of grassland degradation based on field survey and random samples, and calculated the
grassland degradation index (GDI) by integrating the height, coverage, and biomass. According to a correlation
analysis between GDI and every vegetation index computed, the GDI and the MSAVI were chosen as the best variables to
build the grassland degradation model with linear regression by using of RS, GIS, and GPS techniques. The grassland
degradation time-space distribution and the variation tendency in 2002 and 2006 were also analyzed. It is concluded
that the vegetation degeneration situation has on the whole shown an improvement, but with partial worsening in 2006
compared with things in 2002.
Key words :
Relational database
SDE
Map data
Spatial data
收稿日期: 2008-11-10
出版日期: 2009-06-12
基金资助: 国家863课题“退化草地封育恢复的数字化管理技术研究”(2006AA10Z250)。
通讯作者:
薛存芳(1981- ),女,硕士,研究方向为遥感技术与图像处理
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