摘要
选择内蒙古自治区的主要草原植被类型区作为研究区域,分析了2000-2003年生长季(4-10月)内月NOAA NDVI和MODIS NDVI数据之间相关性的年季变化规律。采用统计学方法,探讨了在大尺度空间范围内进行不同分辨率遥感数据之间的空间尺度转换方法,并利用2002年7、8月的NOAA NDVI和MODIS NDVI数据建立NOAA NDVI空间尺度转化模型,对该模型进行了时间尺度外推和精度验证。结果表明:针对NOAA NDVI和MODIS NDVI数据建立的空间尺度转化模型具有较好的应用效果,能够用于时间尺度外推,使MODIS和NOAA NDVI数据之间的分析比较具有科学性和有效性。
The dominant grassland types in Inner Mongolia were selected as research area and and the annual variation pattern of the relationship between MODIS NDVI and NOAA NDVI was analyzed in growing seasons from 2000 to 2003. The spatial scaling methods between different resolutions datum of remote sensing in large-scale spatial extent were studied. At the same time, The MODIS NDVI and NOAA NDVI datum in July and August in 2002 were used to build the spatial scaling model and the model was applied to validate the precision of the model. The result indicated that this spatial scaling method was effective, and the model could be applied to other time quantum. This method could scientifically and effectively analyze and compare the datum of NOAA NDVI and MODIS NDVI .
出处
《草业科学》
CAS
CSCD
北大核心
2009年第10期39-45,共7页
Pratacultural Science
基金
中央级公益性科研院所专项资金
国家重点基础研究发展规划项目(2007CB106806)
国家自然科学基金面上项目(30770327)
国家高技术研究发展计划项目(2007AA10Z230)
国家科技支撑计划项目(2006BAC08B0404
2007BAC03A10)