摘要
构建巴音布鲁克高寒草原植被覆盖度反演模型,筛选最佳模型并检验精度,为今后巴音布鲁克高寒草原开展草地监测和科学管理提供科学依据。利用经验回归模型法和像元二分法,通过计算分析植被覆盖度及植被指数,构建反演模型。结果表明,除修正土壤调整植被指数(Modified Soil Adjusted Vegetation Index MSAVI)外,其余植被指数与植被覆盖度均呈显著正相关关系(P<0.01)。巴音布鲁克高寒草原植被覆盖度最佳反演模型为:NDVI二次多项式回归模型y=-0.894x2+1.467x+0.099(R2=0.723),反演精度较高(R2=0.837),可用于估算巴音布鲁克高寒草原的植被覆盖度。
We constructed an inversion model of the vegetation coverage of the alpine prairie in Bayanbulak,screening for the best model and checking its accuracy,which will provide a scientific basis for carrying out grassland monitoring and scientific management in the alpine prairie of Bayanbulak in future.An empirical regression model and pixel dichotomy were used to calculate the vegetation coverage and vegetation indices and to construct the inversion model.The results showed that there were significant positive correlations between the vegetation indices,except for the Modified Soil Adjusted Vegetation Index（MSAVI）,and vegetation coverage（P〈0.01）.The best inversion model of alpine steppe vegetation coverage in Bayanbulak is the quadratic polynomial regression model of NDVI：y=-0.894 x2＋1.467 x＋0.099（R2=0.723）;its inversion accuracy is higher（R2=0.837）,and can be used to estimate the vegetation coverage of Bayanbulak alpine steppes.
作者
关欣
安沙舟
荀其蕾
董乙强
孔晓晶
杨娇
Guan Xin;An Sha zhou;Xun Qi-lei;Dong Yi qiang;Kong Xiao-jing;Yang Jiao(Collcgc of Pratacultural and Environmcntal Scicncc, Xinjiang Agricultural Univcrsity, Kcy Laboratory of Grassland Rcsourccs and Ecology of Xinjiang, Urumqi 830052, Xinjiang, Chin)
出处
《草业科学》
CAS
CSCD
2018年第5期949-955,共7页
Pratacultural Science
基金
新疆维吾尔自治区草原总站横向课题"基于遥感与GIS技术的新疆天然草原健康评价体系与估产建模研究"
