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Retrieving vegetation clumping index from Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution

Cited 42 time in Web of Science Cited 47 time in Scopus
Authors

Pisek, Jan; Ryu, Youngryel; Sprintsin, Michael; He, Liming; Oliphant, Andrew J.; Korhonen, Lauri; Kuusk, Joel; Kuusk, Andres; Bergstrom, Rafael; Verrelst, Jochem; Alikas, Krista

Issue Date
2013-11
Publisher
Elsevier BV
Citation
Remote Sensing of Environment, Vol.138, pp.126-133
Abstract
Clumping index, the measure of foliage grouping relative to a random distribution of leaves in space, is a key structural parameter of plant canopies that influences canopy radiation regimes and controls canopy photosynthesis and other land-atmosphere interactions. In this study, we retrieve the clumping index using the original 275 m resolution data of the Multi-angle Imaging SpectroRadiometer (MISR) instrument over a set of sites representing diverse biomes and different canopy structures. Also for the first time, the MISR derived clumping index values are directly validated with both in-situ vertical profiles and seasonal trajectories of clumping index. Our results illustrate that MISR data with 275 m allow clumping index estimates at much more pertinent scales (both spatial and temporal) than previous maps from Polarization and Directionality of Earth Reflectances (POLDER) and Moderate Resolution Imaging Spectroradiometer (MODIS) for modeling local carbon and energy fluxes. (C) 2013 Elsevier Inc. All rights reserved.
ISSN
0034-4257
URI
https://hdl.handle.net/10371/199209
DOI
https://doi.org/10.1016/j.rse.2013.07.014
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  • College of Agriculture and Life Sciences
  • Department of Landscape Architecture and Rural System Engineering
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