Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia
Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia
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DOI：
10.1016/j.rse.2006.11.003
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发表时间：
2007-03
影响因子：
13.5
通讯作者：
J. Armston;P. Scarth;S. Phinn;T. Danaher
中科院分区：
文献类型：
--
作者：
J. Armston;P. Scarth;S. Phinn;T. Danaher
许多理论和应用研究表明，地表的各向异性反射率是由地表的结构和光学性质决定的。多角度成像光谱辐射计（MISR）测量陆地表面的各向异性反射率，因此有可能改善昆士兰州（澳大利亚最大的州之一）冠层属性的操作映射。本研究的目的是评估南坡布里加洛带生物地理区草地/林地混合生态系统叶片投影覆盖度（FPC）与双向反射分布函数（BRDF）形状的关系。提出了一种利用现有MISR产品从MISR“局部”模式数据推导表面双向反射系数（BRF）的实用方法。根据MISR“局部”模式地表BRF数据的时间序列，利用线性cross - thick Li-Sparse Reciprocal和非线性rahman - pty - verstraete （RPV）模型反演的形状参数确定了地表BRDF类型。在对模型的反演误差进行评估之后，RPV模型与FPC的相关性进行了检验，FPC是昆士兰Landsat数据常规得出的冠层属性。我们的实证分析表明，MISR导出的RPV模型参数与昆士兰植被结构的时空变化具有定性关系，k参数包含与FPC无关的信息。这些结果与其他地区发表的研究结果一致。
Many theoretical and applied studies have demonstrated that the anisotropic reflectance of the land surface is determined by the structural and optical properties of the land surface. The Multi-angle Imaging SpectroRadiometer (MISR) measures the anisotropic reflectance of the land surface thus has the potential to improve the operational mapping of canopy attributes in Queensland, one of the largest states in Australia. The aim of this study was to assess the relationship between foliage projective cover (FPC) and the shape of the bidirectional reflectance distribution function (BRDF) for a mixed grassland/woodland ecosystem, the Southern Brigalow Belt Biogeographic Region. A practical approach for deriving the surface bidirectional reflectance factor (BRF) from MISR “Local" mode data using existing MISR products is presented. The BRDF typology of the land surface was determined using shape parameters derived from inversion of the linear Ross–Thick Li–Sparse Reciprocal and the non-linear Rahman–Pinty–Verstraete (RPV) models against a time series of MISR “Local" mode surface BRF data. Following an evaluation of the models inversion error, the RPV model was examined for correlation with FPC, a canopy attribute routinely derived from Landsat data in Queensland. Our empirical analyses showed the MISR derived RPV model parameters were qualitatively related to spatial and temporal variations in vegetation structure in Queensland and the k parameter contained information independent of FPC. These results are consistent with published findings from other regions.