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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Detecting vegetation structure using a kernel-based BRDF model
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Detecting vegetation structure using a kernel-based BRDF model

机译:使用基于核的BRDF模型检测植被结构

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The magnitude of the anisotropy of vegetation is mainly determined by its spectral and structural features. It can be described by the bidirectional reflectance distribution function (BRDF). The parameters of physical BRDF models are related to the biophysical structural information. However, for a semiempirical kernel-based BRDF model, the relationship between BRDF parameters and vegetation structure is no longer as clear as with a physical BRDF model. To reveal this relationship, a structural scattering index (SSI) and a relative structural scattering index (RSSI) are derived based on the BRDF parameters in this paper. The investigation of SSI and RSSI show that they have both theoretical and practical meaning and can be used to distinguish different land cover types or to detect structural changes. (C) 2003 Elsevier Science Inc. All rights reserved. [References: 22]
机译:植被各向异性的大小主要取决于其光谱和结构特征。可以用双向反射率分布函数(BRDF)来描述。物理BRDF模型的参数与生物物理结构信息有关。但是,对于基于半经验核的BRDF模型,BRDF参数与植被结构之间的关系不再像物理BRDF模型那样清晰。为了揭示这种关系,本文基于BRDF参数推导了结构散射指数(SSI)和相对结构散射指数(RSSI)。对SSI和RSSI的研究表明,它们具有理论和实践意义,可用于区分不同的土地覆被类型或检测结构变化。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:22]

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