期刊
REMOTE SENSING OF ENVIRONMENT
卷 138, 期 -, 页码 126-133出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2013.07.014
关键词
Multi-angle remote sensing; MISR; Vegetation clumping index; Hotspot; NDHD
资金
- FP7-Marie Curie Actions program, Estonian Science Foundation [ERMOS32]
- Canadian Space Agency [11SUSMAPTO]
- NSF [BCS-0928352]
- Estonian Science Foundation
- Ministry of Education and Research [SF0180009B511]
- BioAtmos of the Environmental protection and technology research and development program [3.2.0802.11-0043, TAP13-2]
- European Union
- GSForest
- NorSEN project
- UEF strategic funds
- Office of Science (BER), US Department of Energy [DE-FG02-06ER64308, DE-SC0005130]
- U.S. Department of Energy (DOE) [DE-SC0005130] Funding Source: U.S. Department of Energy (DOE)
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.
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