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

Statistics

Number of views

74 (1 by ULiège)

Number of downloads

1 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

Asner G.P., Braswell B.H., Schimel D.S., Wessman C.A. Ecological research needs from multiangle remote sensing data. Remote Sens. Environ. 1998, 63:155-165.
Baldocchi D.D., Harley P.C. Scaling carbon dioxide and water vapour exchange from leaf to canopy in a deciduous forest. II. Model testing and application. Plant, Cell Environ. 1995, 18:1157-1173.
Baldocchi D.D., Wilson K.B., Gu L.H. How the environment, canopy structure and canopy physiological functioning influence carbon, water and energy fluxes of a temperate broad-leaved deciduous forest - an assessment with the biophysical model CANOAK. Tree Physiol. 2002, 22:1065-1077.
Baldocchi D.D., Xu L.K., Kiang N. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agric. For. Meteorol. 2004, 123:13-39.
Baret F., Morissette J., Fernandes R., Champeaux J.L., Myneni R., Chen J., et al. Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products. Proposition of the CEOS-BELMANIP. IEEE Trans. Geosci. Remote Sens. 2006, 44:1794-1803.
Baret F., Nightingale J., Garrigues S., Nickeson J. Report on the CEOS Land Product Validation sub-group meeting Missoula, Montana, 15 June 2009. Earth Observer 2009, 21:26-30.
Bartholomé E., Belward A.S. GLC2000: a new approach to global land cover mapping from Earth Observation data. Int. J. Remote Sens. 2005, 26:1959-1977.
Bothwell G.W., Hansen E.G., Vargo R.E., Miller K.C. The Multiangle Imaging SpectroRadiometer science data system, its products, tools and performance. IEEE Trans. Geosci. Remote Sens. 2002, 40:1467-1476.
Camacho F., Cernicharo J., Lacaze R., Baret F., Weiss M. GEOV1: LAI, FAPAR essential climate variables and FCOVER global time-series capitalizing over existing products. Part 2: Validation and intercomparison with reference products. Remote Sens. Environ. 2013, 37:310-329.
Chen J.M. Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands. Agric. For. Meteorol. 1996, 80:135-163.
Chen J.M., Black T.A. Foliage area and architecture of plant canopies from sunfleck size distributions. Agric. For. Meteorol. 1992, 60:249-266.
Chen J.M., Leblanc S.G. A four-scale bidirectional reflectance model based on canopy architecture. IEEE Trans. Geosci. Remote Sens. 1997, 35:1316-1337.
Chen J.M., Leblanc S.G., Miller J.R., Freemantle J., Loechel S.E., Walthall C.L., et al. Compact Airborne Spectrographic Imager (CASI) used for mapping bio-physical parameters of boreal forests. J. Geophys. Res. 1999, 104:27945-27958.
Chen J.M., Liu J., Leblanc S.G., Lacaze R., Roujean J.L. Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption. Remote Sens. Environ. 2003, 84:516-525.
Chen J.M., Menges C.H., Leblanc S.G. Global mapping of foliage clumping index using multi-angular satellite data. Remote Sens. Environ. 2005, 97:447-457.
Chen J.M., Mo G., Pisek J., Deng F., Ishozawa M., Chan D. Foliage clumping index as an important structural parameter for estimating global terrestrial gross primary productivity. Global Biogeochem. Cycles 2012, 26. (GB1019). 10.1029/2010GB003996.
Deschamps P.Y., Breon F.M., Leroy M., Podaire A., Bricaud A., Buriez J.C., Seze G. The POLDER mission: instrument characteristics and scientific objectives. IEEE Trans. Geosci. Remote Sens. 1994, 32:598-615.
Diner D.J., Beckert J.C., Reilly T.H., Bruegge C.J., Conel J.E., Kahn R.A., et al. Multiangle Imaging SpectroRadiometer (MISR) instrument description and experiment overview. IEEE Trans. Geosci. Remote Sens. 1998, 36:1072-1087.
Diner D.J., Beckert J.C., Bothwell G.W., Rodriguez J.I. Performance of the MISR instrument during its first 20months in Earth orbit. IEEE Trans. Geosci. Remote Sens. 2002, 40:1449-1466.
Diner D.J., Braswell B.H., Davies R., Gobron N., Hu J., Jin Y., et al. The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces. Remote Sens. Environ. 2005, 97:495-518.
D'Odorico P., Gonsamo A., Pinty B., Gobron N., Coops N., Mendez E., Schaepman M.E. Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe. Remote Sens. Environ. 2014, 142:141-154.
Fang H., Li W., Wei S., Jiang C. Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods. Agric. For. Meteorol. 2014, 198-199:126-141. 10.1016/j.agrformet.2014.08.005.
Fares S., Savi F., Muller J., Matteucci G., Paoletti E. Simultaneous measurements of above and below canopy ozone fluxes help partitioning ozone deposition between its various sinks in a Mediterranean Oak Forest. Agric. For. Meteorol. 2014, 198-199:181-191.
Garrigues S., Lacaze R., Baret F., Morisette J.T., Weiss M., Nickeson J.E., et al. Validation and intercomparison of global leaf area index products derived from remote sensing data. J. Geophys. Res. 2008, 113. (G02028). 10.1029/2007JG000635.
Giambelluca T.W., Martin R.E., Asner G.P., Huang M., Mudd R.G., Nullet M.A., DeLayä K., Foot D. Evapotranspiration and energy balance of native wet montane cloud forest in Hawaii. Agric. For. Meteorol. 2009, 149:230-243.
Goel N.S. Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data. Remote Sens. Rev. 1988, 4:1-212.
Govind A., Guyon D., Roujean J.L., Yauschew-Raguenes N., Kumari J., Pisek J., et al. Effects of canopy architectural parameterizations on the modeling of radiative transfer mechanism. Ecol. Model. 2013, 251:114-126.
Granier A., Biron P., Lemoine D. Water balance, transpiration and canopy conductance in two beech stands. Agric. For. Meteorol. 2000, 100:291-308.
Grünzweig J.M., Lin T., Schwartz A., Yakir D. Carbon sequestration in aridland forest. Glob. Change Biol. 2003, 9:791-799.
Haverd V., Raupach M.R., Briggs P.R., Canadell J.G., Isaac P., Pickett-Heaps C., et al. Multiple observation types reduce uncertainty in Australia's terrestrial carbon and water cycles. Biogeosciences 2013, 10:2011-2040.
He L., Chen J.M., Pisek J., Schaaf C.B., Strahler A.H. Global clumping index map derived from the MODIS BRDF product. Remote Sens. Environ. 2012, 119:118-130.
Houborg R., Anderson M.C., Norman J.M., Wilson T., Meyers T. Intercomparison of a 'bottom-up' and 'top-down' modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S. Agric. For. Meteorol. 2009, 149:1875-1895.
Ilvesniemi H., Levula J., Ojansuu R., Kolari P., Kulmala L., Pumpanen J., Launiainen S., Vesala T., Nikinmaa E. Long-term measurements of the carbon balance of a boreal Scots pine dominated forest ecosystem. Boreal Environ. Res. 2009, 14:731-753.
Kellner J.R., Asner G.P. Convergent structural responses of tropical forests to diverse disturbance regimes. Ecol. Lett. 2009, 12:887-897.
Kuusk A., Lang M., Kuusk J. Database of optical and structural data for the validation of forest radiative transfer models. Radiative Transfer and Optical Properties of Atmosphere and Underlying Surface. Light Scattering Reviews 7 2013, 109-148. Springer, Berlin, Germany. A.A. Kokhanovsky (Ed.).
Kuusk A., Kuusk J., Lang M. Directional properties of forest reflectance: measurements and modeling. Agric. For. Meteorol. 2014, 185:14-19.
Lacaze R., Chen J.M., Roujean J.L., Leblanc S.G. Retrieval of vegetation clumping index using hotspot signatures measured by the POLDER instrument. Remote Sens. Environ. 2002, 79:84-95.
Leblanc S.G., Chen J.M., White H.P., Latifovic R., Lacaze R., Roujean J.L. Canada-wide foliage clumping index mapping from multiangular POLDER measurements. Can. J. Remote Sens. 2005, 31:364-376.
Li X., Strahler A.H., Woodcock C.E. A hybrid geometric optical-radiative transfer approach for modeling albedo and directional reflectance of discontinuous canopies. IEEE Trans. Geosci. Remote Sens. 1995, 33:466-480.
Lier P., Bach M. PARASOL a microsatellite in the A-Train for Earth atmospheric observations. Acta Astronaut. 2008, 62(2-3):257-263.
Longdoz B., Gross P., Granier A. Multiple quality tests for analysing CO2 fluxes in a beech temperate forest. Biogeosciences 2008, 5:719-729.
Manninen, T., Korhonen, L., Riihelä, A., Lahtinen, P., Stenberg, P., Roujean, J.-L., Hautecoeur, O., 2012. Boreal forest albedo and LAI in SNORTEX 2008-2010. In: Proceedings of International Geoscience and Remote Sensing Symposium 2012 (IGARSS 2012), pp. 3335-3338.
Morisette J.T., Baret F., Privette J.L., Myneni R.B., Nickeson J.E., Garrigues S., et al. Validation of global moderate resolution LAI products: a framework proposed within the CEOS Land Product Validation subgroup. IEEE Trans. Geosci. Remote Sens. 2006, 44:1804-1817.
Neyland M.G., Brown M.J., Su W. Assessing the representativeness of longterm ecological research sites: a case study at Warra in Tasmania. Aust. Forest. 2000, 63:194-198.
Nightingale, J., Schaepman-Strub, G., Nickeson, J., Leads, L.F.A., 2011. Assessing satellite-derived land product quality for earth system science applications: overview of the CEOS LPV sub-group. In: Proceedings of the 34th International Symposium on Remote Sensing of Environment. Sydney, NSW, Australia, 10-15 April 2011.
Nilson T. A theoretical analysis of the frequency of gaps in plant stands. Agric. Meteorol. 1971, 8:25-38.
Nilson T., Kuusk A., Lang M., Pisek J., Kodar A. Simulation of statistical characteristics of gap distribution in forest stands. Agr. Forest Meteorol. 2011, 151:895-905.
Noe S.M., Kimmel V., Hüve K., Copolovici L., Portillo-Estrada M., Püttsepp Ü., Jõgiste K., et al. Ecosystem-scale biosphere-atmosphere interactions of a hemiboreal mixed forest stand at Järvselja, Estonia. For. Ecol. Manage. 2011, 262:71-81.
Oliphant A.J., Grimmond C.S.B., Zutter H.N., Schmid H.P., Su H.B., Scott S.L., Offerle B., Randolph J.C., Ehman J. Heat storage and energy balance fluxes for a temperate deciduous forest. Agric. For. Meteorol. 2004, 126:185-201.
Oliphant, A.J., Rose III, J.W., Grimmond, C.S.B., Schmid, H.-P., 2006. Observations of Canopy Light Penetration and Net Ecosystem Exchange of CO2 under different sky conditions in a Mid-Western Mixed Deciduous Forest. In: Proceedings of 27th Conference on Agricultural and Forest Meteorology, American Meteorological Society, San Diego, 5.7.
Pisek J., Oliphant A.J. A note on the height variation of foliage clumping: comparison with remote sensing retrievals. Remote Sens. Lett. 2013, 4:400-408.
Pisek J., Chen J.M., Lacaze R., Sonnentag O., Alikas K. Expanding global mapping of the foliage clumping index with multi-angular POLDER 3 measurements: evaluation and topographic compensation. ISPRS J. Photogramm. Remote Sens. 2010, 65:341-346.
Pisek J., Chen J.M., Miller J.R., Freemantle J.R., Peltoniemi J.I., Simic A. Mapping forest background reflectance in a boreal region using multiangle compact airborne spectrographic imager data. IEEE Trans. Geosci. Remote Sens. 2010, 48:499-510.
Pisek J., Chen J.M., Nilson T. Estimation of vegetation clumping index using MODIS BRDF data. Int. J. Remote Sens. 2011, 32:2645-2657.
Pisek J., Lang M., Nilson T., Korhonen L., Karu H. Comparison of methods for measuring gap size distribution and canopy nonrandomness at Järvselja RAMI (RAdiation transfer Model Intercomparison) test sites. Agric. For. Meteorol. 2011, 151:365-377.
Pisek J., Ryu Y., Sprintsin M., He L., Oliphant A.J., Korhonen L., Kuusk J., Kuusk A., Bergstrom R., Verrelst J., et al. Retrieving vegetation clumping index from Multi-angle Imaging SpectroRadiometer (MISR) data at 275m resolution. Remote Sens. Environ. 2013, 138:126-133.
Rahman H., Pinty B., Verstraete M.M. Coupled surface-atmosphere reflectance (CSAR) model.2. Semiempirical surface model usable with NOAA Advanced Very High Resolution Radiometer data. J. Geophys. Res. 1993, 98:20791-20801.
Rautiainen M., Suomalainen J., Mõttus M., Stenberg P., Voipio P., Peltoniemi J., et al. Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland, Remote Sens. Environ. 2007, 110:332-343.
Ryu Y., Nilson T., Kobayashi H., Sonnentag O., Law B.E., Baldocchi D.D. On the correct estimation of effective leaf area index: does it reveal information on clumping effects?. Agric. For. Meteorol. 2010, 150:463-472.
Ryu Y., Baldocchi D.D., Kobayashi H., van Ingen C., Li J., Black T.A., et al. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1km to global scales. Global Biogeochem. Cycles 2011, 25. (GB4017). 10.1029/2011GB004053.
Ryu Y., Verfaillie J., Macfarlane C., Kobayashi H., Sonnentag O., Vargas R., Ma S., Baldocchi D.D. Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras. Remote Sens. Environ. 2012, 126:116-125.
Sampson D.A., Janssens I.A., Ceulemans R. Under-story contributions to stand level GPP using the process model SECRETS. Agric. For. Meteorol. 2006, 139:94-104.
Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., et al. First operational BRDF albedo, nadir reflectance products from MODIS. Remote Sens. Environ. 2002, 83:135-148.
Simic A., Chen J.M., Freemantle J., Miller J.R., Pisek J. Improving clumping and LAI algorithms based on multi-angle airborne imagery and ground measurements. IEEE Trans. Geosci. Remote Sens. 2010, 48(4):1742-1759.
Sprintsin M., Cohen S., Maseyk K., Rotenberg E., Grunzweig J., Karnieli A., et al. Long term and seasonal courses of leaf area index in a semi-arid forest plantation. Agric. For. Meteorol. 2011, 151:565-574.
Verstraete M.M., Hunt L.A., Scholes R.J., Clerici M., Pinty B., Nelson D.L. Generating 275-m resolution land surface products from the Multi-angle Imaging SpectroRadiometer data. IEEE Trans. Geosci. Remote Sens. 2012, 50:3980-3990.
Weiss M., Baret F., Block T., Koetz B., Burini A., Scholze B., Lecharpentier P., Brockmann C., Fernandes R., Plummer S., Myneni R., Gobron N., Nightingale J., Schaepman-Strub G., Camacho F., Sanchez-Azofeifa A. On line validation exercise (OLIVE): a web based service for the validation of medium resolution land products. Application to FAPAR products. Remote Sens. 2014, 6:4190-4216.