Estimation of vegetation clumping index using MODIS BRDF data
Estimation of vegetation clumping index using MODIS BRDF data
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DOI：
10.1080/01431161.2010.507611
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发表时间：
2011-05
影响因子：
3.4
通讯作者：
J. Pisek;J. Chen;T. Nilson
中科院分区：
文献类型：
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作者：
J. Pisek;J. Chen;T. Nilson
叶簇指数定量地反映了叶在冠层中的空间分布与随机情况的偏离程度。叶面积指数是一个重要的生态模型，可以用来定量计算辐射在植物冠层中的截获和分配。在此之前，提出了一种改进的角度指数，称为归一化热点和暗点之间的差异，用于检索聚块指数使用多角度遥感数据。已成功地从多角度偏振和方向性地球反射率（POLDER）数据在0.6km分辨率的全球地图的结块指数。在这篇文章中，我们调查是否是可行的，以获得在500米的分辨率与16天的中分辨率成像光谱仪（MODIS）双向反射分布函数模型参数产品的结块指数。这些结果与来自63个不同地点的一组现场测量结果进行了比较，这些地点覆盖了五大洲和不同的生物群落。
The foliage clumping index quantifies the degree of the deviation of leaf spatial distribution in the canopy from the random case. It is of comparable importance for ecological models as the leaf area index for quantifying radiation interception and distribution in plant canopies. Previously, an improved angular index named normalized difference between hotspot and darkspot was proposed for retrieving the clumping index using multi-angle remote sensing data. Global maps of clumping index have been derived successfully from multi-angular Polarization and Directionality of Earth Reflectance (POLDER) data at ∼6 km resolution. In this article, we investigate whether it is feasible to derive the clumping index at 500 m resolution with the 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function model parameters product. The results are compared with an assembled set of field measurements from 63 different sites, covering five continents and diverse biomes.