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	Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites
	Pisek J.; Govind, A.; Arndt, S. K.; Hocking, D.; Wardlaw, T. J.; Fang, H.; Matteucci, G.; Longdoz, B.
	2015
关键词	Multi-angle remote sensing MISR MODIS POLDER Vegetation clumping index Hotspot leaf-area index imaging spectroradiometer misr deciduous forest seasonal-variation energy-balance products canopy reflectance resolution fluxes
英文摘要	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. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
出处	Isprs Journal of Photogrammetry and Remote Sensing
卷	101
页	47-56
收录类别	SCI
语种	英语
ISSN号	0924-2716
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/38802]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Pisek J.,Govind, A.,Arndt, S. K.,et al. Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites. 2015.

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