摘要
旨在建立西藏地区不同草地类型的NDVI遥感估测模型,利用多元线性回归建立了不同草地类型的鲜草生物量与SPOT/VEGETATION多年平均年最大归一化植被指数(NDVI)、年降水量和年积温等变量的回归估测模型。并分析了所有草地类型的平均鲜草生物量与平均年最大NDVI、平均年降水量等因子的相关关系。结果表明:年降水量是鲜草长势最重要的影响因子,基于NDVI的鲜草生物量多元线性回归模型能很好的拟合草地(R=0.964)、高寒草甸(R=0.959)、高寒荒漠草原(R=0.772)、温性草原(R=0.892)和高寒草原(R=0.797)等草地类型。
To set up NDVI remote sensing estimation model of different grassland types in Tibet,a regression estimation model was established by using use of multivariate linear regression,which was between fresh grass biomass and relative variables such as SPOT/VEGETATION mean annual maximum normalized difference vegetation index（NDVI）,annual rainfall and annual accumulated temperature.And it analyzed the correlated the relationship between the average amount of fresh grass biomass and the average annual maximum NDVI,mean annual rainfall and other factors for all grassland types.The results showed that： Rainfall was the most important affecting factor to fresh grass growing.The multivariate linear regression model of fresh biomass based on NDVI fitted the grass（R=0.964）,alpine meadow（R=0.959）,alpine desert steppe（R=0.772）,temperate grasslands（R=0.892） and alpine grasslands（R=0.797） well.
出处
《高原山地气象研究》
2010年第3期43-47,共5页
Plateau and Mountain Meteorology Research
