Volume 6, Issue 6, December 2017, Page: 131-141
The Model Inversion of Leaf Area Index of Vegetation by Means of Electromagenetic Wave Radiative Transfer Model
Wei Fu, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Huan Pei, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Zeng-shun Li, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Hao Shen, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Jun-shuai Li, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Peng-yuan Wang, Department of Communication & Electronic Engineering of the Information Institute, Yanshan University, Qinhuangdao, China
Received: May 30, 2017;       Accepted: Jun. 12, 2017;       Published: Oct. 30, 2017
DOI: 10.11648/j.earth.20170606.15      View  1470      Downloads  55
Abstract
This paper puts forward a novel approach for model inversion of leaf area index (LAI) of vegetation based on the integrated arithmetic of data assimilation and genetic-particle swarm algorithm (DAGS). The article expounds the design principle of electromagenetic wave radiative transfer model (ERTM) for vegetation canopies. On this basis, this study constructs the inversion model of LAI based on DAGS. Furthermore, this experiment realizes the model inversion of LAI with the aid of Remote Sensing (RS) multi-spectral data and biophysical component data of vegetation canopies, which are provided by the multispectral RS observation data set (MOD15A2). The bullet points of the text are summarized as follows. (1) The contribution proposes DAGS for LAI inversion. (2) The article discusses ERTM model for electromagenetic wave radiative transfer mechanism of vegetation canopies. (3) This text achieves LAI inversion with the help of RS multi-spectral data and biophysical component data of vegetation canopies supplied by MOD15A2. The experimental results demonstrate the validity and reliability of the model inversion of LAIby making use of DAGS. The proposed algorithm exploits a novel algorithmic pathway for the model inversion of LAI by means of RS multi-spectral data and biophysical component data of vegetation canopies.
Keywords
LAI, Model Inversion, Biophysics Component Parameters, DAGS, ERTM
To cite this article
Wei Fu, Huan Pei, Zeng-shun Li, Hao Shen, Jun-shuai Li, Peng-yuan Wang, The Model Inversion of Leaf Area Index of Vegetation by Means of Electromagenetic Wave Radiative Transfer Model, Earth Sciences. Vol. 6, No. 6, 2017, pp. 131-141. doi: 10.11648/j.earth.20170606.15
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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