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

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

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

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.

Original languageEnglish
Pages (from-to)126-133
Number of pages8
JournalRemote Sensing of Environment
Volume138
DOIs
StatePublished - 1 Nov 2013
Externally publishedYes

Keywords

  • Hotspot
  • MISR
  • Multi-angle remote sensing
  • NDHD
  • Vegetation clumping index

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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