Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites

Hotspot; MISR; MODIS; Multi-angle remote sensing; POLDER; Vegetation clumping index; Distribution functions; Image reconstruction; Maps; Reflection; Remote sensing; Satellite imagery; Space optics; Spectrometers; Vegetation; Hot spot; Radiometers

Abstract :

[en] 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. © 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).

Disciplines :

Earth sciences & physical geography

Author, co-author :

Pisek, J.; Tartu Observatory, 61602 Tõravere, Tartumaa, Estonia

Govind, A.; INRA, UMR 1391 ISPA, Villenave d'Ornon Bordeaux, France

Arndt, S. K.; Department of Ecosystem and Forest Science, The University of Melbourne, 500 Yarra Boulevard, Richmond, VIC, Australia

Hocking, D.; Monash UniversityVIC, Australia

Wardlaw, T. J.; Forestry Tasmania, Division of Research and Development, GPO Box 207, Hobart Tasmania, Australia

Fang, H.; LREIS, Institute of Geographic Sciences and Natural Resources Research CAS, Beijing, China

Matteucci, G.; Consiglio Nazionale delle Ricerche, Institute of Agro-Environmental and Forest Biology, Rome, Italy

Longdoz, Bernard ; Université de Liège > Ingénierie des biosystèmes (Biose) > Echanges Ecosystèmes - Atmosphère

Title :

Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites

Publication date :

2015

Journal title :

ISPRS Journal of Photogrammetry and Remote Sensing

ISSN :

0924-2716

Publisher :

Elsevier

Volume :

101

Pages :

47-56

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 18 January 2017

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