Evaluation of the JRC-TIP 0.01° products over a mid-latitude deciduous forest site

Remote Sensing of Environment

Volumn 115, Issue 12, 2011, Pages 3567-3581

  Pinty, B ^a,b   Jung, M ^c   Kaminski, T ^d   Lavergne, T ^e   Mund, M ^f   Plummer, S ^g   Thomas, E ^c   Widlowski, J L ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b ESA ESRIN   (Italy)

^c MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^d FastOpt GmbH   (Germany)

^e NORWEGIAN METEOROLOGICAL INSTITUTE   (Norway)

^f UNIVERSITY OF GÖTTINGEN   (Germany)

^g Didcot ^*  (United Kingdom)

Author keywords

FAPAR; Fluxnet; Hainich; JRC TIP; LAI; Surface albedos; Validation

Indexed keywords

FAPAR; FLUXNET; HAINICH; JRC-TIP; LAI; SURFACE ALBEDOS; VALIDATION;

CAMERAS; DISTRIBUTION FUNCTIONS; ELECTROMAGNETIC WAVE EMISSION; ESTIMATION; INFRARED DEVICES; PHENOLS; PLASMA DIAGNOSTICS; PROBABILITY DISTRIBUTIONS; SCATTERING; SOLAR RADIATION; VEGETATION;

FORESTRY;

ABSORPTION; ALBEDO; DATA SET; DECIDUOUS FOREST; FOREST CANOPY; LATITUDE; LEAF AREA INDEX; MISR; MODEL VALIDATION; MODIS; NEAR INFRARED; PHENOLOGY; SCATTERING; SPATIAL RESOLUTION;

CAMERAS; DISTRIBUTION; FORESTRY; PHENOLS; PLANTS; PLASMA; PROBABILITY; SCATTERING; SUN LIGHT;

GERMANY; HAINICH; THURINGIA;

EID: 81355148788     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.08.018     Document Type: Article

References (48)

1. Baldocchi D.D., Collineau D. The physical nature of solar radiation in heterogeneous canopies: Spatial and temporal attributes. Exploitation of environmental heterogeneity by plants 1994, 21-71. Academic Press, San Diego CA. M. Caldwell, R. Pearcy (Eds.).
2. Beer C., Reichstein M., Tomelleri E., Ciais P., Jung M., Carvalhais N., et al. Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate. Science 2010, 329:834-838.
3. Breda N.J.J. Ground-based measurements of Leaf Area Index: A review of methods, instruments and current controversies. Journal of Experimental Botany 2003, 54:2403-2417.
4. Breiman L. Bagging predictors. Machine Learning 1996, 24:123-140.
5. Breiman L. Random forests. Machine Learning 2001, 45:5-32.
6. Chen J.M., Blanken P.D., Black T.A., Guilbeault M., Chen S. Radiation regime and canopy architecture in a boreal Aspen forest. Agricultural and Forest Meteorology 1997, 86:107-125.
7. Chen J.M., Govind A., Sonnentag O., Zhang Y., Barr A., Amiro B. Leaf Area Index measurements at Fluxnet-Canada forest sites. Agricultural and Forest Meteorology 2006, 140:257-268.
8. Chen J.M., Menges C.H., Leblanc S.G. Global mapping of foliage clumping index using multi-angular satellite data. Remote Sensing of Environment 2005, 97:447-457.
9. Chen J.M., Rich P.M., Gower S.T., Norman J.M., Plummer S. Leaf area index of boreal forests: Theory, techniques, and measurements. Journal of Geophysical Research 1997, 102:29429-29443.
10. Clerici M., Voßbeck M., Pinty B., Kaminski T., Taberner M., Lavergne T., et al. Consolidating the Two-stream Inversion Package (JRC-TIP) to retrieve land surface parameters from albedo products. IEEE Journal of Selected Topics in Earth Observations and Remote Sensing 2010, 2.
11. De Kauwe M.G., Disney M.I., Quaife T., Lewis P., Williams M. An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. Remote Sensing of Environment 2011, 115:767-780.
12. Gamon J.A., Cheng Y., Claudio H., MacKinney L., Sims D.A. A mobile tram system for systematic sampling of ecosystem optical properties. Remote Sensing of Environment 2006, 103:246-254.
13. Gausman H.W., Allen W.A. Optical parameters of leaves of 30 plant species. Plant Physiology 1973, 52:57-62.
14. Gobron N., Pinty B., Aussedat O., Chen J.M., Cohen W.B., Fensholt R., et al. Evaluation of FAPAR products for different canopy radiation transfer regimes: Methodology and results using Joint Research Centre products derived from SeaWiFS against ground-based estimations. Journal of Geophysical Research 2006, 111:D13110. 10.1029/2005JD006511.
15. Hufkens K., Richardson A.D., Friedl M. Monitoring species specific phenology with conventional RGB cameras. Proceedings of the European Geophysical Union, Vienna, Austria, 04-08 April 2011 2011, European Geophysical Union.
16. Jonckheere I., Fleck S., Nackaerts K., Muys B., Coppin P., Weiss M., et al. Review of methods for in situ leaf area index determination. Part I. theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 2004, 121:19-35.
17. Knapp A.K., Carter G.A. Variability in leaf optical properties among 26 species from a broad range of habitats. American Journal of Botany 1998, 85:940-946.
18. Knorr W., Kaminski T., Scholze M., Gobron N., Pinty B., Giering R., et al. Carbon cycle data assimilation with a generic phenology model. Journal of Geophysical Research 2010, 115:G04017. 10.1029/2009JG001119.
19. 2 exchange uncertainty in a tall forest in central Germany. Ecological Applications 2008, 18:1391-1405.
20. Law B.E., Cescatti A., Baldocchi D.D. Leaf area distribution and radiative transfer in open-canopy forests: Implications for mass and energy exchange. Tree Physiology 2001, 21:777-787.
21. Lewis, P., Gomez-Dans, J., Kaminski, T., Settles, J., Quaife, T., Gobron, N., Styles, J., & Berger, M. (submitted for publication). An Earth Observation Land Data Assimilation System (EO-LDAS). Remote Sensing of Environment.
22. Martonchik J.V., Diner D.J., Pinty B., Verstraete M.M., Myneni R.B., Knyazikhin Y., et al. Determination of land and ocean reflective, radiative, and biophysical properties using multiangle imaging. IEEE Transactions on Geoscience and Remote Sensing 1998, 36:1266-1281.
23. McNeil B.E., Denny E., Richardson A.D. Coordinating a northeast regional phenology network. Bulletin of the Ecological Society of America 2008, 89:188-190.
24. 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 Transactions on Geosciences and Remote Sensing 2006, 44:1804-1817.
25. Morisette J.T., Nightingale J., Nickeson J. An international workshop on the validation of satellite-based phenology products. EOS Transactions of the American Geophysical Union 2010, 91:407-408.
26. Morisette J.T., Richardson A.D., Knapp A.K., Fisher J.I., Graham E.A., Abatzoglou J., et al. Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century. Frontiers in Ecology and the Environment 2009, 7:253-260.
27. Mund M., Kutsch W.L., Wirth C., Kahl T., Knohl A., Skomarkova M.V., et al. The influence of climate and fructification on the interannual variability of stem growth and net primary productivity in an old-growth, mixed beech forest. Tree Physiology 2010, 30:689-704.
28. Nolan V.P., Weltzin J.F. Phenology for science, resource management, decision making, and education. EOS Transactions of the American Geophsyical Union 2011, 92:15.
29. Ollinger S.V., Richardson A.D., Martin M.E., Hollinger D.Y., Frolking S.E., Reich P.B., et al. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks. Proceedings of the National Academy of Sciences of the United States of America 2008, 105:19335-19340.
30. Pinty B., Andredakis I., Clerici M., Kaminski T., Taberner M., Verstraete M.M., et al. Exploiting the MODIS albedos with the Two-stream Inversion Package (JRC-TIP) Part I: effective Leaf Area Index, Vegetation and Soil properties. Journal of Geophysical Research 2010, 116.
31. Pinty B., Clerici M., Andredakis I., Kaminski T., Taberner M., Verstraete M.M., et al. Exploiting the MODIS albedos with the Two-stream Inversion Package (JRC-TIP) Part II: Fractions of transmitted and absorbed fluxes in the vegetation and soil layers. Journal of Geophysical Research 2010, 116.
32. Pinty B., Gobron N., Widlowski J.-L., Lavergne T., Verstraete M.M. Synergy between 1-D and 3-D radiation transfer models to retrieve vegetation canopy properties from remote sensing data. Journal of Geophysical Research 2004, 109.
33. Pinty B., Lavergne T., Dickinson R.E., Widlowski J.-L., Gobron N., Verstraete M.M. Simplifying the interaction of land surfaces with radiation for relating remote sensing products to climate models. Journal of Geophysical Research 2006, 111.
34. Pinty B., Lavergne T., Kaminski T., Aussedat O., Giering R., Gobron N., et al. Partitioning the solar radiant fluxes in forest canopies in the presence of snow. Journal of Geophysical Research 2008, 113.
35. Pinty B., Lavergne T., Voßbeck M., Kaminski T., Aussedat O., Giering R., et al. Retrieving surface parameters for climate models from MODIS and MISR albedo products. Journal of Geophysical Research 2007, 112.
36. Pinty B., Lavergne T., Widlowski J.-L., Gobron N., Verstraete M.M. On the need to observe vegetation canopies in the near-infrared to estimate visible light absorption. Remote Sensing of Environment 2009, 113.
37. Pinty B., Widlowski J.-L., Verstraete M.M., Andredakis I., Arino O., Clerici M., et al. Snowy backgrounds enhance the absorption of solar radiation in forest canopies. Geophysical Research Letters 2010, 38.
38. Reifsnyder W.E., Furnival G.M., Horowitz J.L. Spatial and temporal distribution of solar radiation beneath forest canopies. Agricultural Meteorology 1971, 9:21-37.
39. Reithmaier L.M., Gockede M., Markkanen T., Knohl A., Churkina G., Rebmann C., et al. Use of remotely sensed land use classification for a better evaluation of micrometeorological flux measurement sites. Theoretical and Applied Climatology 2006, 84:219-233.
40. Richardson A., Braswell B.H., Hollinger D.Y., Jenkins J.P., Ollinger S. Near-surface remote sensing of spatial and temporal variation in canopy phenology. Ecological Applications 2009, 19:1417-1428.
41. Richardson A., Jenkins J.P., Braswell B.H., Hollinger D.Y., Ollinger S., Smith M.-L. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 2007, 152:323-334.
42. Roberts D.A., Nelson B.W., Adams J.B., Palmer F. Spectral changes with leaf aging in Amazon caatinga. Trees-Structure and Function 1998, 12:315-325.
43. Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., et al. First operational BRDF, albedo and nadir reflectance products from MODIS. Remote Sensing of Environment 2002, 83:135-148.
44. Taberner M., Pinty B., Govaerts Y., Liang S., Verstraete M.M., Gobron N., et al. Comparison of MISR and MODIS land surface albedos: Methodology. Journal of Geophysical Research 2010, 115.
45. Voßbeck M., Clerici M., Kaminski T., Pinty B., Lavergne T., Giering R. An inverse radiative transfer model of the canopy based on automatic differentiation. Inverse Problems 2009, 26.
46. Voßbeck M., Giering R., Kaminski T. Development and first applications of TAC++. Advances in Automatic Differentiation 2008, 189-197. Springer. C. Bischof, H.M. Bücker, P.D. Hovland, U. Naumann, J. Utke (Eds.).
47. Widlowski J.-L. On the bias of instantaneous FAPAR estimates in open-canopy forests. Agricultural and Forest Meteorology 2010, 150:1501-1522.
48. Woebbecke D., Meyer G.E., Von Bargen K., Mortensen D.A. Color indices for weed identification under various soil residue and lighting conditions. Transactions of ASAE 1995, 38(1):259-269.