Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites
Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites
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参考站点上 POLDER、MODIS 和 MISR 卫星数据的丛集指数估计值的相互比较
DOI：
10.1016/j.isprsjprs.2014.11.004
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发表时间：
2015-03
期刊：
影响因子：
--
通讯作者：
Longdoz, B.
中科院分区：
文献类型：
--
作者：
Wardlaw, T. J.;Fang, H.;Matteucci, G.;Longdoz, B.
丛生指数是相对于叶子在空间中的随机分布的叶子分组的度量。它是植物冠层的一个关键结构参数，影响冠层辐射状况，控制冠层光合作用和其他陆气相互作用。热点和暗点之间的标准化差异（NDHD）指数以前曾被用于检索全球聚块指数图，这些图来自分辨率为106公里的地球反射率极化和方向性（POLDER）数据和分辨率为500米的中分辨率成像光谱仪（MODIS）的双向反射分布函数（BRDF）产品。最近的算法也适用于多角度成像光谱辐射计（MISR）数据在275米的分辨率在选定的地区。在这项研究中，我们第一次在一组代表不同生物群落和不同冠层结构的网站上描述和比较了这三种产品。产品也直接验证了原位垂直配置文件和可用的季节性轨迹的丛生指数在几个网站。我们证明，树叶的垂直分布，特别是林下的影响需要考虑，同时验证树叶丛生产品从遥感产品与现场测量的值。卫星测量响应冠层顶部附近的结构效应，而地面测量可能会受到较低的植被层的偏见。此外，应谨慎对待土地覆盖图中的错误分类，因为它们的错误可能会传播到树叶丛生图中。我们的研究结果表明，MODIS数据和MISR数据，特别是275米，可以提供良好的质量在空间尺度上的聚类指数估计相关的本地碳和能量通量建模。
Clumping index is the measure of foliage grouping relative to a random distribution of leaves in space. It is a key structural parameter of plant canopies that influences canopy radiation regimes and controls canopy photosynthesis and other land–atmosphere interactions. The Normalized Difference between Hotspot and Darkspot (NDHD) index has been previously used to retrieve global clumping index maps from POLarization and Directionality of the Earth’s Reflectances (POLDER) data at ∼6 km resolution and the Bidirectional Reflectance Distribution Function (BRDF) product from Moderate Resolution Imaging Spectroradiometer (MODIS) at 500 m resolution. Most recently the algorithm was also applied with Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution over selected areas. In this study for the first time we characterized and compared the three products over a set of sites representing diverse biomes and different canopy structures. The products were also directly validated with both in-situ vertical profiles and available seasonal trajectories of clumping index over several sites. We demonstrated that the vertical distribution of foliage and especially the effect of understory need to be taken into account while validating foliage clumping products from remote sensing products with values measured in the field. Satellite measurements responded to the structural effects near the top of canopies, while ground measurements may be biased by the lower vegetation layers. Additionally, caution should be taken regarding the misclassification in land cover maps as their errors can propagate into the foliage clumping maps. Our results indicate that MODIS data and MISR data, with 275 m in particular, can provide good quality clumping index estimates at spatial scales pertinent for modeling local carbon and energy fluxes.
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影响因子：
6.2
作者：
CHEN, JM;BLACK, TA
通讯作者：
BLACK, TA
DOI：
10.3390/rs6054190
发表时间：
2014-05
期刊：
Remote. Sens.
影响因子：
--
作者：
M. Weiss;F. Baret;T. Block;B. Koetz;A. Burini;Bettina Scholze;P. Lecharpentier;C. Brockmann;
通讯作者：
M. Weiss;F. Baret;T. Block;B. Koetz;A. Burini;Bettina Scholze;P. Lecharpentier;C. Brockmann;
影响因子：
2.3
作者：
J. Pisek;A. Oliphant
通讯作者：
J. Pisek;A. Oliphant
影响因子：
8.2
作者：
J. Pisek;J. Chen;John R. Miller;J. Freemantle;J. Peltoniemi;A. Simic
通讯作者：
J. Pisek;J. Chen;John R. Miller;J. Freemantle;J. Peltoniemi;A. Simic
DOI：
10.1109/tgrs.2006.872529
发表时间：
2006-07-01
影响因子：
8.2
作者：
Morisette, Jeffrey T.;Baret, Frederic;Cook, Robert
通讯作者：
Cook, Robert