利用高光谱数据和叶面积指数对加工番茄产量估算的研究

Study on the Estimation Model of Production of Processing Tomato by Canopy Hyperspectral Remote Sensing Data and Leaf Area Index

以ASD FieldSpec光谱仪实测了大田中不同生育期加工番茄的冠层高光谱、叶面积指数及作物的产量,采用单时相线性逐步回归和复合回归,建立了加工番茄光谱变量-叶面积指数与产量的复合光谱估产模型,并对模型的估算结果进行了初步分析。分析结果表明,在青熟期光谱参数与叶面积指数相关性最大,而其他时期的光谱变量与产量相关性均达到了显著水平;复合回归模型以4个生育期与产量的复合回归最为理想。

Canopy reflectance of processing tomato was measured with ASD FieldSpec at different growth stages; leaf area index （LAI） and processing tomato yields were collected. The relationship between canopy reflectance LAI and processing tomato yield was analyzed with single phase Linear Stepwise Regression and multivariate regression. The results revealed that there was a good relativity between hyperspectral data and leaf area index at green maturing period, and was not significant correlation in other period. The ideal compound regression model of compound regression between production and 4 growth periods of tomato was obtained.