Comparative analysis of MODIS-FAPAR and MERIS-MGVI datasets: Potential impacts on ecosystem modeling

Remote Sensing of Environment

Volumn 113, Issue 12, 2009, Pages 2547-2559

  Seixas, J ^a   Carvalhais, N ^a   Nunes, C ^b   Benali, A ^a  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b ENSP   (Portugal)

Author keywords

FAPAR; Iberian Peninsula; MERIS; MODIS; NEP; NPP; Production efficiency model

Indexed keywords

FAPAR; IBERIAN PENINSULA; MERIS; MODIS; NEP; NPP; PRODUCTION EFFICIENCY MODEL;

RADIOMETERS; REMOTE SENSING; SOLAR RADIATION; SPECTROMETERS;

ECOSYSTEMS;

BIOPHYSICS; COMPARATIVE STUDY; CORRELATION; DATA SET; ECOSYSTEM MODELING; GEOSTATISTICS; MERIS; MODIS; PARAMETERIZATION; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL VARIATION; TERRESTRIAL ECOSYSTEM;

EURASIA; EUROPE; IBERIAN PENINSULA; SOUTHERN EUROPE;

EID: 70350012288     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.07.018     Document Type: Article

References (57)

1. Bacour C., Baret F., Beal D., Weiss M., and Pavageau K. Neural network estimation of LAI, fAPAR, fCover and LAIxC(ab), from top of canopy MERIS reflectance data: Principles and validation. Remote Sensing of Environment 105 4 (2006) 313-325
2. Behrenfeld M.J., Randerson J.T., McClain C.R., Feldman G.C., Los S.O., Tucker C.J., et al. Biospheric primary production during an ENSO transition. Science 291 (2001) 2594-2597
3. Brossard M., Feranec J., and Otahel J. Corine Land Cover Technical Guide-Addendum 2000. Technical report no. 40 (2000), European Environmental Agency, Copenhagen, Denmark
4. Caetano M., and Araújo A. Comparing land cover products CLC2000 and MOD12Q1 for Portugal. In: Marçal A. (Ed). Global developments in environmental earth observation from space (2006), Millpress, Rotterdam 469-477
5. Carvalhais N., Reichstein M., Seixas J., Collatz G.J., Pereira J.S., Berbigier P., et al. Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval. Global Biogeochemical Cycles 22 2 (2008) GB2007 10.1029/2007GB003033
6. Cheng Y.F., Gamon J.A., Fuentes D.A., Mao Z.Y., Sims D.A., Qiu H.L., et al. A multi-scale analysis of dynamic optical signals in a Southern California chaparral ecosystem: A comparison of field, AVIRIS and MODIS data. Remote Sensing of Environment 103 (2006) 369-378
7. Demarty J., Chevallier F., Friend A.D., Viovy N., Piao S., and Ciais P. Assimilation of global MODIS leaf area index retrievals within a terrestrial biosphere model. Geophysical Research Letters 34 (2007) L15402 10.1029/2007GL030014
8. Deng D., Chen J.M., Plummer S., Chen M., and Pisek J. Global LAI algorithm integrating the bidirectional information. IEEE Transactions on Geoscience and Remote Sensing 44 (2006) 2219-2229
9. Draper N., and Smith H. Applied regression analysis (1981), Wiley, New York 736 pp
10. EEA, European Environment Agency. The thematic accuracy of Corine Land Cover 2000 Assessment using LUCAS (land use/cover area frame statistical survey). EEA Technical report No 7/2006 (2006) isbn:92-9167-844-9, 85 pp
11. Fensholt R., Sandholt I., and Rasmussen M.S. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment 91 (2004) 490-507
12. Fensholt R., Sandholt I., and Stisen S. Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. IEEE Transactions on Geosciences and Remote Sensing 44 (2006) 1774-1786
13. Field C.B., Randerson J.T., and Malmstrom C.M. Global net primary production - Combining ecology and remote-sensing. Remote Sensing of Environment 51 (1995) 74-88
14. Friedlingstein P., Joel G., Field C.B., and Fung I.Y. Toward an allocation scheme for global terrestrial carbon models. Global Change Biology 5 (1999) 755-770
15. Gobron N., Pinty B., Verstraete M.M., and Govaerts Y. A semidiscrete model for the scattering of light by vegetation. Journal of Geophysical Research-Atmospheres 102 (1997) 9431-9446
16. Gobron N., Pinty B., Verstraete M., and Govaerts Y. The MERIS Global Vegetation Index (MGVI ): Description and preliminary application. International Journal Remote Sensing 20 9 (1999) 1917-1927
17. Gobron N., Pinty B., Verstraete M.M., and Widlowski J.L. Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications. IEEE Transactions on Geosciences and Remote Sensing 38 (2000) 2489-2505
18. Gobron N., Taberner M., Pinty B., Mélin F., Verstraete M., and Widlowski J. MERIS land algorithm: Preliminary validation results. Proc. of Envisat Validation Workshop, Frascati, Italy, 9-13 December 2002 (ESA SP-531, August 2003) (2002)
19. 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 JRC products derived from SeaWiFS against ground-based estimations. Journal of Geophysical Research 111 (2006) D13110
20. Gobron N., Pinty B., Melin F., Taberner M., Verstraete M., Robustelli M., et al. Evaluation of the MERIS/ENVISAT FAPAR product. Advances in Space Research 39 (2007) 105-115
21. Gobron N., Pinty B., Aussedat O., Taberner M., Faber O., Mélin F., et al. Uncertainty estimates for the FAPAR operational products derived from MERIS - Impact of top-of-atmosphere radiance uncertainties and validation with field data. Remote Sensing of Environment 112 (2008) 1871-1883
22. Goovaerts P. Geostatistics for natural resources characterization (1997), Oxford University Press, New York 483 pp
23. Heimann M., and Reichstein M. Terrestrial ecosystem carbon dynamics and climate feedbacks. Nature 451 (2008) 289-292
24. Huemmrich K.F., Privette J.L., Mukelabai M., Myneni R.B., and Knyazikhin Y. Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa. International Journal of Remote Sensing 26 19 (2005) 4381-4398
25. Janssen, P.H.M., & Heuberger, P.S.C. (1995). Calibration of process-oriented models. Ecological Modelling, 83, 1-2, 55-66.
26. Justice C.O., Vermote E., Townshend J.R.G., Defries R., Roy D.P., Hall D.K., et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing 36 (1998) 1228-1249
27. Knyazikhin Y., Martonchik J.V., Myneni R.B., Diner D.J., and Running S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Journal of Geophysical Research-Atmospheres 103 (1998) 32257-32275
28. Kumar M., and Monteith J.L. Remote sensing of crop growth. In: Smith H. (Ed). Plants and the daylight spectrum (1981), Academic Press, London 133-144
29. Lopes P., Lourenço P., Carvalhais N., and Seixas J. MODIS land cover product validation in the Iberian Peninsula. Proceedings of Geoscience and Remote Sensing Symposium, 2003. IGARSS '03 (2003) 1733-1735
30. Lotsch A., Tian Y., Friedl M.A., and Myneni R.B. Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors. International Journal Remote Sensing 24 (2003) 1997-2016
31. Masek J.G., and Collatz G.J. Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling. Journal of Geophysical Research-Biogeosciences 111 (2006) G01006 10.1029/2005JG000062
32. Miglietta F., Gioli B., Hutjes R.W.A., and Reichstein M. Net regional ecosystem CO2 exchange from airborne and ground-based eddy covariance, land-use maps and weather observations. Global Change Biology 13 (2007) 548-560
33. Monteith J.L. Solar-radiation and productivity in tropical ecosystems. Journal of Applied Ecology 9 (1972) 747-766
34. Monteith J.L. Climate and efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 281 (1977) 277-294
35. Myneni R.B., Nemani R., and Running S. Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 1380-1393
36. Myneni R.B., Hoffman S., Knyazikhin Y., Privette J.L., Glassy J., Tian Y., et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 83 (2002) 214-231
37. Olofsson P., Eklundh L., Lagergren F., Jonsson P., and Lindroth A. Estimating net primary production for Scandinavian forests using data from Terra/MODIS. Advances in Space Research 39 (2007) 125-130
38. Parton W.J., Schimel D.S., Cole C.V., and Ojima D.S. Analysis of factors controlling soil organic-matter levels in great-plains grasslands. Soil Science Society of America Journal 51 (1987) 1173-1179
39. Pereira J.S., Mateus J.A., Aires L.M., Pita G., Pio C., David J.S., et al. Net ecosystem carbon exchange in three contrasting Mediterranean ecosystems - The effect of drought. Biogeosciences 4 5 (2007) 791-802
40. Pinty B., Gobron N., Mélin F., and Verstraete M.M. A time composite algorithm for FAPAR products - Theoretical basis document (2002), JRC Publication N° EUR 20150 EN Institute for Environment and Sustainability, Joint Research Centre, Ispra, Italy
41. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., et al. Terrestrial ecosystem production - A process model-based on global satellite and surface data. Global Biogeochemical Cycles 7 (1993) 811-841
42. Potter C.S., Davidson E.A., Klooster S.A., Nepstad D.C., De Negreiros G.H., and Brooks V. Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Global Change Biology 4 (1998) 315-333
43. Potter C.S., Alexander S.E., Coughlan J.C., and Klooster S.A. Modeling biogenic emissions of isoprene: Exploration of model drivers, climate control algorithms, and use of global satellite observations. Atmospheric Environment 35 (2001) 6151-6165
44. Randerson J.T., Thompson M.V., Malmstrom C.M., Field C.B., and Fung I.Y. Substrate limitations for heterotrophs: Implications for models that estimate the seasonal cycle of atmospheric CO2. Global Biogeochemical Cycles 10 (1996) 585-602
45. Randerson J.T., Still C.J., Balle J.J., Fung I.Y., Doney S.C., Tans P.P., et al. Carbon isotope discrimination of arctic and boreal biomes inferred from remote atmospheric measurements and a biosphere-atmosphere model. Global Biogeochemical Cycles 16 3 (2002) 1028 10.1029/2001GB001435
46. Randerson J.T., van der Werf G.R., Collatz G.J., Giglio L., Still C.J., Kasibhatla P., et al. Fire emissions from C-3 and C-4 vegetation and their influence on interannual variability of atmospheric CO2 and delta(CO2)-C-13. Global Biogeochemical Cycles 19 2 (2005) GB2019 10.1029/2004GB002366
47. Reichstein M., Falge E., Baldocchi D., Papale D., Aubinet M., Berbigier P., et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: Review and improved algorithm. Global Change Biology 11 (2005) 1424-1439
48. Ruimy A., Saugier B., and Dedieu G. Methodology for the estimation of terrestrial net primary productivity production from remotely sensed data. Journal of Geophysical Research 99 (1994) 5263-5283
49. Ruimy A., Kergoat L., Bondeau A., and Participants Potsdam NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): Analysis of differences in light absorption and light-use efficiency. Global Change Biology 5 (1999) 56-64
50. Strahler A., Muchoney D., Borak J., Gao F., Friedl M., Gopal S., et al. MODIS land cover product, algorithm theoretical basis document (ATBD), Version 5.0 (1999), Center for Remote Sensing, Dep. of Geography, Boston University, Boston, MA
51. Taylor K. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research 106 D7 (2001) 7183-7192
52. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8 (1979) 127-150
53. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Zhao M.S., Running S.W., et al. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment 88 (2003) 256-270
54. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Running S.W., Zhao M.S., et al. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment 102 (2006) 282-292
55. Van der Werf G.R., Randerson J.T., Collatz G.J., and Giglio L. Carbon emissions from fires in tropical and subtropical ecosystems. Global Change Biology 9 (2003) 547-562
56. Vermote E.F., ElSaleous N., Justice C.O., Kaufman Y.J., Privette J.L., Remer L., et al. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation. Journal of Geophysical Research-Atmospheres 102 (1997) 17131-17141
57. Waring R.H., Landsberg J.J., and Williams M. Net primary production of forests: A constant fraction of gross primary production?. Tree Physiology 18 (1998) 129-13