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Study and Application of Canopy BRDF Model

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Tutor: ChenPing
School: Huazhong University of Science and Technology
Course: Electromagnetic Field and Microwave Technology
Keywords: Vegetation BRDF,FCR model,PROSPECT model,Phased inversion method
Type: Master's thesis
Year:  2011
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In recent years, along with the rapid development of optical remote sensing technology , the means of rapid , large-area access to agricultural information made ??possible by the use of optical remote sensing . But in practice there are still many problems that the monitoring accuracy has been less than ideal , one important reason for this is still not enough depth of the vegetation optical remote physical model accurate . This article vegetation II study of the model to the reflectance (BRDF, Bidirectional Reflectance Distribution Function) , to enhance people 's awareness of the link between the canopy BRDF and vegetation biochemical components and vegetation canopy structure parameters , thus contributing to the optical remote sensing in agricultural access to information on the application . This paper first introduces the development status of the the vegetation BRDF physical model , and in recent years, based on the progress of some of the physical model inversion method . According to the characteristics of the canopy structure of the object of study of this article , select a suitable canopy the vegetation BRDF model based on the equation of radiative transfer as the research object , the model of the model by rapid canopy reflectance (FCR, Fast Canopy Reflection) leaf reflectance model (PROSPECT), oval model as well as the solar elevation angle model composed of four sub-models . Compared to the measured canopy and leaf data and simulation data to verify the accuracy of the FCR model and the PROSPECT model and analyze the possible causes of error . The vegetation BRDF model used to establish certain assumptions , model simulation data and observation data will be more or less between abnormal . This leads to the use of BRDF model inversion of vegetation canopy structure parameters and biochemical components parameters , if not choose the direct use of all observations , is bound to lead to the inversion of the model is not accurate enough . In view of this situation , this paper constructed a phased inversion method , the two stages of the minimum value of the square (LMS) and least squares (LS) as the cost function , the results showed that the abnormal observations relative physical model data , phased inversion method can improve the model inversion accuracy.
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