棉花学报2011，Vol.23Issue(5)：476-480,5.
基于高光谱植被指数的棉田冠层特征信息估算模型研究
Estimation Model Research on Cotton Canopy Structure Parameters Based on Hyperspectral Vegetation Index
摘要
Abstract
ASD Field Spec Pro VNIR 2500 spectrometer radiometer was used to obtain cotton canopy spectral reflectance at dif-ferent growth stages. And based on spectral vegetation indices NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index), quantitative models of cotton canopy feature information were established by using spectral analysis tech-nique. After estimation and evaluation of the accuracy of the model, the optimal estimation model parameters for the cotton canopy structure characterization were ultimately selected. The results showed that for using NDVI to forecast cotton LAI (Leaf area index), the power function model (y=11.084x12024, r=0.8076++) is the best; for the estimation of cotton fresh biomass above ground based on RVI, the exponential function model (y=52.261 ·exp(0.1024x), r=0.8114++) is the best; and for estimation of cot-ton dry biomass above ground based on RVI, the exponential function model 0=9.5552·exp (0.1133x), r= 0.8330++) is optimal. Obviously, hyperspectral remote sensing technology can be used to analyze, simulate, assess and predict cotton canopy charac-teristic parameters and can provide a basis for precision cotton planting.关键词
高光谱遥感/棉花冠层信息/归一化植被指数/比值植被指数/估算模型Key words
hyperspectral remote sensing/ cotton canopy information/ normalized difference vegetation index/ ratio vegetation index/ estimation model分类
农业科技引用本文复制引用
祁亚琴,吕新,陈冠文,林海荣,陈燕,陈剑..基于高光谱植被指数的棉田冠层特征信息估算模型研究[J].棉花学报,2011,23(5):476-480,5.基金项目
新疆生产建设兵团重大科技专项(2007ZX03)资助 （2007ZX03）
精准农业与信息技术应用与示范(2007ZX03) （2007ZX03）
