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canopy structure
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  canopy structure
The results show that small-diameter Korean pines' origination and growth have close relations to the overstory canopy structure dynamics and play an important role in the maintenance and development of Korean pine forest.
      
Canopy structure would influence DTS and DCR across canopy-atmosphere interface remarkably.
      
deltoides, was used to evaluate the genetic basis of canopy structure and function in a clonally replicated plantation.
      
Canopy structure, shoot design, and photosynthetic light recruitment were used to compare four coexisting dwarf shrub species with respect to light utilization.
      
Canopy structure and physiology of paper birch are examined in the field during two growing seasons.
      
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Canopy radiance in thermal infrared (TIR) band mainly comes from emission of canopy itself. This differs very much from the situation of visible and near infrared (VNIR) band, in which reflection plays the major role. How- ever, the sophisticated canopy model in visible and near infrared band are still instructive to thermal infrared researches. Some recent works extend results of canopy BRDF model, such as Hapke's formula, to thermal infrared band through Kirchhoff's law that directional emissivity of a...

Canopy radiance in thermal infrared (TIR) band mainly comes from emission of canopy itself. This differs very much from the situation of visible and near infrared (VNIR) band, in which reflection plays the major role. How- ever, the sophisticated canopy model in visible and near infrared band are still instructive to thermal infrared researches. Some recent works extend results of canopy BRDF model, such as Hapke's formula, to thermal infrared band through Kirchhoff's law that directional emissivity of a surface equals 1 minus its directional-hemispherical reflectance. However, this in-direct approach is not convenient because using Kirchhoff's law means to assume isothermal condition, but most natural surface is not isothermal. In this paper, we extend a typical canopy model in VNIR band, the SAIL model, to TIR band by adding terms of thermal emission in the radiation transfer equations. Analytic solution of the radiation transfer equations is derived. This enables us to directly simulate the emission and radiation transfer process inside the horizontal homogeneous canopy which is a good approximation to many kinds of crops. Leaf angle distribution (LAD) can be simulated discretely, and vertical canopy structure is also easily handled. Simulation of our model indicates that these factors play important role in directional signature of the canopy radiance. The model can also be used in some flexible ways, which enable it to act as basic modular in higher level TIR model. Here, we give two examples. In the first example, we use this model to calculate multiple scattering inside canopy and derive component effective emissivity. In the second example, the result of our RT model is adjusted by a row-structured GO model to simulate the real structure of winter wheat canopy as well as the footprint of radiometer. Comparison with field measured data indicates that the horizontal homogeneous assumption is also not valid in real cases, so the better choice is to integrate RT and GO model together.

通过在辐射传输方程中添加热发射项的方式 ,直接把一个常用的可见光波段的冠层模型———SAIL模型改造成热红外波段模型。该模型与Hapke公式相比能更准确地计算多种农作物冠层的热红外辐射特性 ,并能方便地作为一个基础模块融合到其他更高层次的热红外辐射模型中去

Leaf area index (LAI) is an important parameter for describing vegetation canopy structure in the terrestrial ecosystem. LAI can be obtained using spectral information such as simulated relation of VI( vegetation index) , however, many VIs are affected by soil. For row crop, it is difficult to remove the effect of soil, and the error is large using the method of VI. Multiangular remote sensing is capable of providing more three-dimensional information of vegetation, and it is powerful in obtaining the...

Leaf area index (LAI) is an important parameter for describing vegetation canopy structure in the terrestrial ecosystem. LAI can be obtained using spectral information such as simulated relation of VI( vegetation index) , however, many VIs are affected by soil. For row crop, it is difficult to remove the effect of soil, and the error is large using the method of VI. Multiangular remote sensing is capable of providing more three-dimensional information of vegetation, and it is powerful in obtaining the parameter of the plants. However, currently, the retrieval of multiangular remote sensing seldom considers the use of spectral information. We use MSAVI2 as an index to get the a priori knowledge of LAI. As a result, the a priori knowledge is more objective. From the comparison of using or not using this MSAVI predicted a priori knowledge, we found that this approach is effective.

叶面积指数是陆地生态系统的一个十分重要的结构参数。用遥感数据求取叶面积指数可以利用光谱的信息,比如通过植被指数来拟合一个经验关系,但很多植被指数明显受土壤背景的影响,对于有明显行结构的农作物,土壤的影响很难消除,植被指数的方法误差较大。多角度遥感包含了大量的地面目标的立体结构信息,具备求解植被特征参数的潜力,但通常多角度遥感反演对光谱信息的利用不足。与以往的反演方法相区别,该文利用行播作物二向反射模型,将多角度与多光谱数据结合进行行播作物LAI反演实验,并对反演算法进行了详细的敏感性分析实验,结果表明采用多角度、多光谱遥感数据相结合的方法可以有效反演行播作物的叶面积指数。

Leaf area index(LAI)is a crucial parameter of vegetation canopy structure and controls a number of biophysical processes of vegetation. In this paper, a mixed model which combines the statistics model with the optical model is presented to estimate LAI from Landsat-5 TM image data. Firstly, the model calculates and outputs a lookup table (LUT) by useing of FCR model. and then, LAI mapping is conducted based on the empirical relations resulting from the LUT. The results indicate that, being simple and easy...

Leaf area index(LAI)is a crucial parameter of vegetation canopy structure and controls a number of biophysical processes of vegetation. In this paper, a mixed model which combines the statistics model with the optical model is presented to estimate LAI from Landsat-5 TM image data. Firstly, the model calculates and outputs a lookup table (LUT) by useing of FCR model. and then, LAI mapping is conducted based on the empirical relations resulting from the LUT. The results indicate that, being simple and easy to operate, the method can be used to estimate accurately the LAI of reed marsh.

叶面积指数(LAI)是植被冠层结构的一个重要参数,它的改变标志着植被发生了生物物理变化。本文提出了一种利用混和模型从TM图像上获取叶面积指数的方法。首先,利用冠层反射率(FCR)模型计算并得到查找表;然后,利用从查找表得到的统计关系进行LAI制图。试验表明,该方法简单易行,并可较精确地用来反演芦苇地的叶面积指数。

 
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