首页> 外文会议>Conference on earth observation for land-atmosphere interaction science >IMPROVEMENT OF LAI-VI RELATIONSHIP FOR GROSS PRIMARY PRODUCTIVITY ESTIMATION IN DECIDUOUS BROADLEAF FOREST, JAPAN
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IMPROVEMENT OF LAI-VI RELATIONSHIP FOR GROSS PRIMARY PRODUCTIVITY ESTIMATION IN DECIDUOUS BROADLEAF FOREST, JAPAN

机译:日本落叶阔叶林初级生产力估算的Lai-VI关系

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The Moderate Resolution Imaging Spectroradiometer (MODIS) is the primary NASA Earth Observing System instrument monitoring the seasonality of global terrestrial vegetation. MODIS products, such as the MODIS Vegetation Index (VI), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Leaf Area Index (LAI), are commonly used in ecological modeling. In this study, the 3-PGS (Physiological Principles Predicting Growth using Satellite data) model was used to generate gross primary productivity (GPP) using absorbed photosynthetically active radiation (APAR) based on the relationship of LAI and NDVI to environmental factors. We also examined the LAI–EVI relationship, as we expected EVI to improve LAI estimation. To compare the relationship of MODIS NDVI and EVI to in situ LAI, we investigated two patterns: a single relationship using all of the data and a double relationship of two periods (growing to saturation and saturation to leaf-fall). MODIS LAI was also applied directly to the model to compare its results with the others, including those of MODIS GPP. The double relationship improved the accuracy of LAI estimates over that of the single relationship. GPP derived from the double-relationship-based EVI was in best agreement with in situ GPP (r~2 > 0.8). MODIS LAI overestimated GPP values owing to overvaluations of the original LAI values. The use of MODIS products, especially EVI, has the potential to enhance the accuracy of 3-PGS. However, validation with further comparisons is still needed.
机译:适度分辨率成像光谱辐射器(MODIS)是监测全球陆地植被的季节性的主要NASA地球观测系统仪器。 Modis产品,例如Modis植被指数(VI),归一化差异植被指数(NDVI),增强型植被指数(EVI)和叶面积指数(LAI)通常用于生态建模。在本研究中,使用基于Lai和NDVI与环境因素的关系的吸收光合作动辐射(APAR)来利用3 PGS(使用卫星数据的生长数据)模型来产生总初级生产率(GPP)。我们还审查了Lai-EVI的关系,因为我们预期的EVI改善了LAI估计。为了比较Modis NDVI和EVI的关系,我们调查了两种模式:使用所有数据的单个关系和两个时期的双重关系(成长为饱和度和截留到叶下降)。 Modis Lai也直接应用于模型,以将其结果与其他模式进行比较,包括Modis GPP。双重关系改善了莱估计的准确性,从单一关系中的估计。来自基于双级关系的EVI的GPP与原位GPP(R〜2> 0.8)最佳协议。由于原始LAI值的过度,Modis Lai高估GPP值。使用MODIS产品,尤其是EVI,有可能提高3-PGS的准确性。但是,仍然需要使用进一步比较的验证。

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