摘要
通过分析不同施氮水平下棉花地上部干物质积累量与冠层光谱反射率及其衍生的比值植被指数(RVI)、归一化植被指数(NDVI)及差值植被指数(DVI)之间的关系,确立了棉花地上部干物质积累量的敏感波段及预测模型.结果表明:两个可见光波段(560和710nm)和5个近红外波段(810、870、950、1100和1220nm)组成的植被指数与棉花地上部干物质积累量的相关性较好,其中RVI(1100,560)的相关性最好.通过逐步回归分析确立的棉花地上部干物质积累量的预测模型为:地上部干物质积累量(g.m-2)=66.274×RVI(1100,560)-148.84.说明通过遥感手段估测棉花地上部干物质积累量是可行的.
Through analyzing the relationships of the dry matter accumulation in above-ground part of cotton with the canopy reflectance of single waveband and all two-band combinations in ratio vegetation index （ RVI, Rλ1/Rλ2）, normalized difference vegetation index （ NDVI, （ Rλ1 - Rλ2 ）/（ Rλ1 ＋ Rλ2 ） ） and differential vegetation index （ DVI, Rλ1 - Rλ2 ）, the characteristic spectral wavebands for indicating the dry matter accumulation in above-ground part of cotton were determined, and the corresponding prediction model was established. The results showed that the vegetation indices comprised of visible light （560 and 710 nm） and near infrared light （810, 870,950, 1 100 and 1220 nm） were highly related to the dry matter accumulation in the above-ground part of cotton, and the RVI （1 100, 560） was the best spectral index for the estimation. The corresponding prediction model established by stepwise regression method was Y （g·m^-2） = 66. 274 × RVI （1 100, 560） - 148. 84. It could be feasible to estimate the dry matter accumulation in above-ground part of cotton with remote sensing.
出处
《应用生态学报》
CAS
CSCD
北大核心
2008年第1期105-109,共5页
Chinese Journal of Applied Ecology
基金
国家自然科学基金项目(30571092
30400278)
江苏省自然科学基金资助项目(BK2005212
K2003079).
关键词
棉花
干物质积累量
冠层反射率
植被指数
估测模型
cotton
dry matter accumulation
canopy reflectance
vegetation index
estimation model.
