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作 者 ：王海波；辛颖；赵雨森*

期 刊 ：植物研究 2015年 35卷 4期 页码：618-622

关键词：俄罗斯大果沙棘；人工林生物量；遥感；植被指数；

Keywords:Hippophae rhamnoide, plantation biomass, vegetation index(VI), remote sensing, vegetation index,

摘 要 ：以2011年的Landsat TM为主要遥感数据，借助于RS和GIS技术完成对俄罗斯大果沙棘人工林生物量进行估侧。结果表明：植被指数和生物量的一元线性回归分析模型中，比值植被指数（RVI）和归一化植被指数（NDVI）与俄罗斯大果沙棘具有较高的相关性，相关系数（R²）分别为0.908 6和0.868 5；基于植被指数和生物量的多元线性回归分析模型中，相关系数（R²）为0.909，经过模型检验，多元回归遥感植被指数模型的精度要高于一元遥感植被指数的精度，但是基于遥感指数模型预测生物量值比理论生物量值偏高。

Abstract:Weestimated Hippophae rhamnoide plantation biomass using satellite images of Landsat TM(2011)based on RS and GIS. In one-dimensional linear regression analysis models,the NDVI-based and RVI-based simple linear model were the optimal model for estimating biomasswith the coefficient correlation(R²) of 0.908 6 and 0.868 5, respectively. The multiple regression model established by four kinds of VI could be used for estimating forest biomass with the coefficient of determination(R²) of 0.909. Themultivariable linear regression models were better than one-dimensional linear regression analysis models, and the predicted biomass based on regression analysis models was higher than the theoretical biomass.

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