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首页> 外文期刊>Agricultural and Forest Meteorology >Application of chlorophyll-related vegetation indices for remote estimation of maize productivity.
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Application of chlorophyll-related vegetation indices for remote estimation of maize productivity.

机译：叶绿素相关植被指数在估算玉米生产力中的应用。

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摘要

Crop gross primary productivity (GPP) is an important characteristic for evaluating crop nitrogen content and yield, as well as the carbon exchange. Based on the close relationship observed between GPP and total chlorophyll content in crops, we applied a model that relies on a product of chlorophyll-related vegetation index and incoming photosynthetically active radiation for remote estimation of GPP in maize. In this study, we tested the performance of this model for maize GPP estimation based on spectral reflectance collected at a close range, 6 m above the top of the canopy, over a period of eight years from 2001 through 2008. Fifteen widely used chlorophyll-related vegetation indices were employed for GPP estimation in irrigated and rainfed maize, and accuracy and uncertainties of the models were compared. We also explored the possibility of using a unified algorithm in estimating maize GPP in fields that are different in irrigation, field history and climatic conditions. The results showed that vegetation indices that closely relate to total canopy chlorophyll content and/or green leaf area index were accurate in GPP estimation. Both green and red edge Chlorophyll Indices, MERIS Terrestrial Chlorophyll Index as well as Simple Ratio were the best approximations of the widely variable GPP in maize under different crop managements and climatic conditions. They were able to predict daily GPP reaching 30 gC/m2/d with RMSE below 2.75 gC/m2/d.
机译：作物总初级生产力（GPP）是评估作物氮含量和产量以及碳交换的重要特征。基于观察到的GPP与农作物中总叶绿素含量之间的密切关系，我们应用了一种模型，该模型依赖于叶绿素相关的植被指数和入射的光合有效辐射的乘积来远程估算玉米中的GPP。在这项研究中，我们从2001年到2008年的八年时间里，根据在靠近冠层顶部6 m的近距离处收集的光谱反射率，测试了该模型对玉米GPP估计的性能。十五种广泛使用的叶绿素利用相关的植被指数进行灌溉和雨养玉米的GPP估算，并比较了模型的准确性和不确定性。我们还探讨了在灌溉，田间历史和气候条件不同的田间使用统一算法估算玉米GPP的可能性。结果表明，与总冠层叶绿素含量和/或绿叶面积指数密切相关的植被指数在GPP估算中是准确的。在不同的作物管理和气候条件下，绿色和红色边缘叶绿素指数，MERIS陆地叶绿素指数以及简单比率都是玉米中GPP广泛变化的最佳近似值。他们能够预测每日GPP达到30 gC / m 2 / d，RMSE低于2.75 gC / m 2 / d。

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