不同作物叶片和茎全磷含量与高光谱植被指数的关系

doi:10.15933/j.cnki.1004-3268.2022.09.015

摘要/Abstract

摘要： 为研究不同作物叶片和茎全磷含量与不同高光谱植被指数的关系，于2020年11月至2021年10月进行田间试验，测定冬小麦、油菜、蚕豆、大豆、玉米、红薯6种作物不同生长阶段的叶片、茎全磷含量和高光谱冠层反射率，进而计算归一化植被指数（NDVI）、差值植被指数（DVI）、比值植被指数（RVI）、增强植被指数（EVI）、光化学植被指数（PRI）、红边叶绿素指数（RECI）6种高光谱植被指数。利用Pearson相关分析研究了不同作物叶片、茎全磷含量与高光谱植被指数的关系，并以多元非线性回归建立了基于高光谱植被指数的叶片、茎全磷含量模拟模型。结果表明，随着作物生长，冬小麦、油菜、蚕豆、大豆叶片全磷含量逐渐降低，玉米、红薯叶片全磷含量在生长季中期较高，6种作物茎全磷含量与叶片全磷含量的季节变化规律类似。6种作物叶片全磷含量季节平均值均高于茎全磷含量季节平均值。6种作物NDVI、DVI、RVI、EVI、PRI、RECI在生长中期相对较高。6种作物叶片全磷含量与不同高光谱植被指数之间的相关系数不同，且与叶片和茎全磷含量存在显著相关关系的高光谱植被指数也不同。基于6种植被指数NDVI、DVI、RVI、EVI、PRI、RECI的模型可模拟6种作物叶片全磷含量33.9%（R²=0.339）~75.2%（R²=0.752）的季节变化，6种作物叶片全磷含量实测值与模拟值之间的一元线性回归线接近1∶1线，一元线性回归方程R²=0.657。基于5种植被指数NDVI、RVI、EVI、PRI、RECI的模型可模拟6种作物茎全磷含量23.4%（R²=0.234）~60.0%（R²=0.600）的季节变化，6种作物茎全磷含量实测值与模拟值之间的一元线性回归线接近1∶1线，一元线性回归方程R²=0.524。不同作物叶片或茎全磷含量的特征植被指数不同，基于多种植被指数的多元回归模型可较好地模拟冬小麦、油菜、蚕豆、大豆、玉米、红薯叶片和冬小麦、油菜、玉米、红薯茎全磷含量季节变化。

关键词: 作物, 叶片, 茎, 全磷含量, 高光谱植被指数, 模拟

Abstract: Field experiments were performed from November 2020 to October 2021 to investigate the relationships between total phosphorus contents of leaf and stem of different crops and different hyperspectral vegetation indexes. The total phosphorus contents of leaf and stem of six crops，winter wheat，rape，broad bean，soybean，maize，and sweet potato，were measured at different growing stages.The hyperspectral canopy reflectances in different crop fields were determined and were used to calculate six hyperspectral vegetation indexes of normalized difference vegetation index（NDVI），difference vegetation index（DVI），ratio index（RVI），enhanced vegetation index（EVI），photochemical reflectance index（PRI），and red edge chlorophyll index（RECI）.The Pearson’s correlation analysis was used to explore the relationships between total phosphorus contents of leaf and stem of different crops and hyperspectral vegetation indexes. Multiple nonlinear regression analyses were used to establish models to simulate the seasonal variations in total phosphorus contents of leaf and stem. The results showed that the total phosphorus content of the leaf of winter wheat，rape，broad bean，and soybean decreased with the crop growth.The higher total phosphorus content of the leaf of maize and sweet potato occurred during the mid⁃growing period. The seasonal patterns in the total phosphorus content of the stem of six crops were similar to those of the leaf. The seasonal mean total phosphorus content of the leaf of six crops was higher than that of the stem.The higher NDVI，DVI，RVI，EVI，PRI，and RECI values of six crops occurred during the mid⁃growing period. The correlation coefficients between the total phosphorus contents of the leaf and stem of six crops and different hyperspectral vegetation indexes were different. The hyperspectral vegetation indexes which were significantly correlated with the total phosphorus contents of the leaf and stem were also different for the six crops. The models based on the six hyperspectral vegetation indexes（NDVI，DVI，RVI，EVI，PRI，and RECI）simulated 33.9%（R²=0.339）—75.2%（R²=0.752）of the variation in the total phosphorus content of the leaf of six crops. The regression line that explained the relationship between the observed and modelled values was very close to the 1∶1 line，with R2 of 0.657.The models based on the five hyperspectral vegetation indexes（NDVI，RVI，EVI，PRI，and RECI）simulated 23.4%（R²=0.234）—60.0%（R²=0.600）of the variation in the total phosphorus content of the stem of six crops.The regression line that explained the relationship between the observed and modelled values was close to the 1∶1 line，with R² of 0.524. The total phosphorus contents of the leaf and stem of six crops could be reflected by different vegetation indexes.The multiple regression models based on various vegetation indexes could well simulate the seasonal variations in the total phosphorus content of the leaf of winter wheat，rape，broad bean，soybean，maize，and sweet potato and the total phosphorus content of the stem of winter wheat，rape，maize，and sweet potato.

Key words: Crop, Leaf, Stem, Total phosphorus content, Hyperspectral vegetation indexes, Modelling

中图分类号:

S181

许嘉桐, 陈书涛, 张苗苗, 夏可, 王晖. 不同作物叶片和茎全磷含量与高光谱植被指数的关系[J]. 河南农业科学, 2022, 51(9): 141-150.

XU Jiatong, CHEN Shutao, ZHANG Miaomiao, XIA Ke, WANG Hui. Relationships between Total Phosphorus Contents of Leaf and Stem of Different Crops and Hyperspectral Vegetation Indexes[J]. Journal of Henan Agricultural Sciences, 2022, 51(9): 141-150.

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