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Estimating LAI using EVI based on canopy radiative transfer model

机译:基于冠层辐射传输模型的EVI估算LAI

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摘要

Leaf area index (LAI) is an important biophysical parameter of vegetation canopy. LAI can be estimated from canopy or image spectra by vegetation indices or by inversion of canopy radiative transfer model. Because of the BRDF effect of vegetation indices, the estimation precision of LAI from vegetation indices depends on observation or illumination angles, soil background, leaf angle distribution etc. In this study, an atmospherically corrected vegetation index, enhanced vegetation index (EVI), is selected to estimate LAI. The effects of chlorophyll content, LAI, leaf angle distribution, observation/illumination angle, soil background on EVI are simulated by PROSAIL canopy radiative transfer model, and the sensitive factors and variances ranges are also analyzed. Then, LAI was estimated using EVI from field spectra, which are corrected by PROSAIL.
机译:叶面积指数(LAI)是植被冠层的重要生物物理参数。可以通过植被指数或通过冠层辐射传递模型的反演,从冠层或图像光谱估计LAI。由于植被指数的BRDF效应,根据植被指数估算LAI的精度取决于观测角度或光照角度,土壤背景,叶片角度分布等。在本研究中,大气校正植被指数即增强植被指数(EVI)为选择估计LAI。利用PROSAIL冠层辐射传递模型模拟了叶绿素含量,LAI,叶片角度分布,观察/照明角度,土壤背景对EVI的影响,并分析了敏感因素和方差范围。然后,使用EVI从现场光谱中估算LAI,并通过PROSAIL进行校正。

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