Title of article :
Retrieving vegetation clumping index from Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution
Author/Authors :
Pisek، نويسنده , , Jan and Ryu، نويسنده , , Youngryel and Sprintsin، نويسنده , , Michael and He، نويسنده , , Liming and Oliphant، نويسنده , , Andrew J. and Korhonen، نويسنده , , Lauri and Kuusk، نويسنده , , Joel and Kuusk، نويسنده , , Andres and Bergstrom، نويسنده , , Rafael and Verrelst، نويسنده , , Jochem and Alikas، نويسنده , , Krista، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
8
From page :
126
To page :
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.
Keywords :
Multi-angle remote sensing , MISR , Vegetation clumping index , Hotspot , NDHD
Journal title :
Remote Sensing of Environment
Serial Year :
2013
Journal title :
Remote Sensing of Environment
Record number :
1633682
Link To Document :
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