Publications in 2004

  1. Hashimoto et al., 2004. El Nino Southern Oscillation induced variability in terrestrial carbon cycling. J. Geophys. Res., VOL. 109, D23110, doi:10.1029/2004JD004959, 2004.
  2. Wang et al., 2004. On the relation between the North Atlantic Oscillation and SSTs in the North Atlantic basin. J. Clim., 17(24), 4752-4759.
  3. McGuire et al., 2004. Land Cover Disturbances and Feedbacks to the Climate System in Canada and Alaska. In “Observing, Monitoring and Understanding Trajectories of Change on the Earth’s Surface” by Gutman, G.; Janetos, A.C.; Justice, C.O.; Moran, E.F.; Mustard, J.F.; Rindfuss, R.R.; Skole, D.; Turner II, B.L.; Cochrane, M.A. (Eds.), Springer Verlag, ISBN: 1-4020-2561-0.
  4. Zhang et al., 2004. Climate related vegetation characteristics derived from MODIS LAI and NDVI. J. Geophys. Res., VOL. 109, D20105, doi:10.1029/2004JD004720, 2004
  5. D’Arrigo et al., 2004. Thresholds for warming induced growth decline at elevational treeline in Yukon territory, Canada. Global Biogeochemical Cycles, VOL. 18, GB3021, doi:10.1029/2004GB002249, 2004.
  6. Robinson et al., 2004. Climate Data Records from Environmental Satellites, The National Academies Press, Washington, DC, USA.
  7. Kotchenova et al., 2004. Lidar remote sensing for modelling net primary productivity of deciduous forests. Remote Sens. Environ., 92: 158-172.
  8. Wang et al., 2004. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. Remote Sens. Environ., 91:114-127.
  9. Zhou et al., 2004. Evidence for a significant urbanization effect on climate in China. Proc. Natl. Acad. Sci., Vol. 101, No. 26,9540-9544.
  10. Kaufmann et al., 2004. The effect of growing season and summer greenness on northern forests. Geophys. Res. Lett., Vol. 31, No. 9, L09205, 10.1029/2004GL019608.
  11. Tian et al., 2004. Land boundary conditions from MODIS data and consequences for the albedo of a climate model. Geophys. Res. Lett., Vol. 31, No. 5, L05504, 10.1029/2003GL019104.
  12. Tian et al., 2004. Comparison of seasonal and spatial variations of LAI/FPAR from MODIS and Common Land Model. J. Geophys. Res., Vol. 109, No. D1, D01103, 10.1029/2003JD003777.
  13. Stow et al., 2004. Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems, Remote Sens. Environ., 89: 281-308.

Publications in 2003

  1. Kaufmann et al., 2003.  The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data. Geophys. Res. Lett., VOL. 30, NO. 22, 2147,ndoi:10.1029/2003GL018251.
  2. Potter et al., 2003.  Satellite data help predict terrestrial carbon sinks. EOS, 84(46): pages 502 & 508.
  3. Hu et al., 2003.  Performance of thenMISR LAI and FPAR Algorithm: A Case Study In Africa, Remote Sens. Environ., 88:324-340
  4. Potter et al., 2003.  Continental scalecomparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982-98. Global and Planetary Change, 39:201-213.
  5. Potter et al., 2003.  Global teleconnections of climate to terrestrial carbon flux. J. Geophys. Res., Vol. 108, No. D17, 4556, 10.1029/2002JD002979
  6. Kotchenova et al., 2003.  Modeling lidar waveforms with time-dependent stochastic radiative transfer theory for remote estimations of forest biomass. J. Geophys. Res., Vol. 108, No. D15, 4484, 10.1029/2002JD003288
  7. Zhou et al., 2003.  Comparison of seasonal and spatial variations of albedos from MODIS and the Common Land Model. J. Geophys. Res., 108(D15), 4488, doi:10.1029/2002JD003326, 2003
  8. Buermann et al., 2003.  Circulation anomalies explain interannual covariability in northern hemisphere temperatures and greenness. J. Geophys. Res., 108(D13), 4396, doi:10.1029/2002JD002630, 2003.
  9. Potter et al., 2003.  Modeling Terrestrial Biogenic Sources of Oxygenated Organic Emissions. Earth Interactions, Vol. 7, Paper 7.
  10. Potter et al., 2003.  Major disturbance events in terrestrial ecosystems detected using global satellite data sets. Global Change Biology, 9(7): 1005-1021.
  11. Nemani et al., 2003.  Climate driven increases in global net primary production from 1981 to 1991. Science, 300:1560-1563 (June-06-2003)
  12. Kaufmann et al., 2003. Reply to the comment by R. Lanfredi et al. to “Variations in Northern Vegetation Activity Inferred from Satellite Data of Vegetation Index During 1981 to 1999″ by Zhou et al. J. Geophys. Res. Vol. 108 No. D12, 10.1029/2002JD003287.
  13. Zhuang et al., 2003. Carbon cycling in extratropical terrestrial ecosystems of the northern hemisphere during the 20th century: A modeling analysis of the influences of soil thermal dynamics. Tellus, 55B: 751-776.
  14. Lotsch et al., 2003. Land cover mapping in support of LAI/FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors, Int. J. Remote Sesns. 24, 1997-2016.
  15. Shabanov et al., 2003. The effect of spatial heterogeneity in validation of the MODIS LAI and FPAR algorithm over broadleaf forests, Remote Sens. Environ.,85: 410-423.
  16. Wang et al., 2003.  A new parameterization of canopy spectral response to incident solar radiation: case study with hyperspectral data from pine dominant forest, Remote Sens. Environ., 85:304-315.
  17. Dong et al., 2003. Remote sensing of boreal and temperate forest woody biomass: Carbon pools, Sources and Sinks, Remote Sens. Environ., 84:393-410.
  18. Zhou et al., 2003. Relation between interannual variations in satellite measures of vegetation greenness and climate between 1982 and 1999. J. Geophys. Res. 108(D1), doi:10.1029/2002JD002510.
  19. Stow et al., 2003. Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s. Int. J. Remote Sens., 24, 1111-1117, 2003.

Publications in 2002

  1. Knyazikhin et al., 2002. A missing solution to the transport equation and its effect on estimation of cloud absorptive properties. J. Atmos. Sci., 59:3572-3585.
  2. Buermann et al., 2002. Analysis of a multi-year global vegetation leaf area index data set. J. Geophys. Res., 10.1029/2001JD000975.
  3. Tian et al., 2002. Radiative transfer based scaling of LAI/FPAR retrievals from reflectance data of different resolutions. Remote Sens. Environ., 84:143-159.
  4. Combal et al., 2002. Retrieval of Canopy Biophysical Variables from Bidirectional Refectance: Using Prior Information to solve the Ill-posed Inverse Problem, Remote Sens. Environ., 84:1-15.
  5. Tian et al., 2002. Multiscale Analysis and Validation of the MODIS LAI Product. I. Uncertainty Assessment. Remote Sens. Environ., 83:414-430.
  6. Tian et al., 2002. Multiscale Analysis and Validation of the MODIS LAI Product. II. Sampling Strategy. Remote Sens. Environ., 83:431-441.
  7. Privette et al., 2002. Early spatial and temporal validation of MODIS LAI product in Africa. Remote Sens. Environ., 83: 232-243.
  8. Myneni et al., 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ., 83: 214-231.
  9. Zeng et al., 2002. Coupling of the common land model to the NCAR community climate model. J. Clim., 15:1832-1854.
  10. Kaufmann et al., 2002. Reply to Comment on “Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981-1999″ by J. R. Ahlbeck. J. Geophys. Res., Vol. 107(D11), 10.1029/2001JD001516.
  11. Bogaert and Zhou et al., 2002. Evidence for a persistent and extensive greening trend in Eurasia inferred from satellite vegetation index data. J. Geophys. Res., Vol. 107(D11), 10.1029/2001JD001075.
  12. Lucht et al., 2002. Climatic control of the high-latitude vegetation greening trend and Pinatubo effect. Science, 296:1687-1689 (May-31-2002).
  13. Bogaert et al., 2002. A mathematical comment on the formulae for the aggregation index and the shape index. Landscape Ecol., 17: 87-90.
  14. Zhang et al., 2002. Assessing the Information Content of Multiangle Satellite Data for Mapping Biomes. I: Statistical Analysis, Remote Sens. Environ, 80: 418-434 (2002).
  15. Zhang et al., 2002. Assessing the Information Content of Multiangle Satellite Data for Mapping Biomes. II: Theory, Remote Sens. Environ., 80: 435-446 (2002).
  16. Dickinson et al., 2002. Nitrogen Controls on Climate Model Evapotranspiration. J. Clim., 15(3): 278-295.
  17. Shabanov et al., 2002. Analysis of interannual changes in northern vegetation activity observed in AVHRR data during 1981 to 1994. IEEE Trans. Geosci. Remote Sens., 40:115-130.

Publications in 2001

  1. Myneni and Dong et al., 2001. A large carbon sink in the woody biomass of northern forests. Proc. Natl. Acad. Sci. USA., 98(26): 14784-14789. Supplemental information
  2. Tucker et al., 2001. Higher northern latitude NDVI and growing season trends from 1982 to 1999. Int. J. Biometeorol., 45:184-190.
  3. Wang et al., 2001. Investigation of product accuracy as a function of input and model uncertainities: Case study with SeaWiFS and MODIS LAI/FPAR Algorithm. Remote Sens. Environ. 78:296-311.
  4. Zhou et al., 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999, J. Geophys. Res., 106(D17): 20069-20083.
  5. Buermann et al., 2001. Evaluation of the utility of satellite-based vegetation leaf area index data for climate simulations. J. Climate, 14(17): 3536-3550.
  6. Dong et al., 2001. Improving numerical precision of simulated soil water fluxes in land surface models. J. Geophys. Res., 106(D13): 14,357-14,368.
  7. Panferov, O. et al., 2001. The role of canopy structure in the spectral variation of transmission and absorption of solar radiation in vegetation canopies. IEEE Trans. Geosci. Remote Sens., 39:241-253.

Publications in 2000

  1. Kaufmann et al., 2000. Effect of orbital drift and sensor changes on the time series of AVHRR vegetation index data. IEEE Trans. Geosci. Remote Sens., 38: 2584-2597.
  2. Zhang et al., 2000. Prototyping of MISR LAI and FPAR algorithm with POLDER data over Africa. IEEE Trans. Geosci. Remote Sens., 38(5): 2402-2418.
  3. Tian et al., 2000. Prototyping of MODIS LAI and FPAR algorithm with LASUR and LANDSAT data. IEEE Trans. Geosci. Remote Sens., 38(5): 2387-2401.
  4. Shabanov, N. V. et al., 2000.  Stochastic modeling of radiation regime in discontinuous vegetation canopy, Remote Sens. Environ., 74:125-144.
  5. Weiss, M., et al., 2000. Investigation of a model inversion technique for the estimation of crop characteristics from spectral and directional reflectance data. Agronomie, 20: 3-22.

Publications in 1998

  1. Knyazikhin, Y., et al., 1998.  Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. J. Geophys. Res., 103:32,257-32,276.
  2. Knyazikhin, Y., et al., 1998.  Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MISR data. J. Geophys. Res., 103:32,239-32,256.
  3. Diner, D. J., et al., 1998.  Multi-angle imaging spectroradiometer (MISR) instrument description and experiment overview. IEEE Trans. Geosc. Remote Sens., 36:1072-1087.
  4. Justice, C. O., et al., 1998. The moderate resolution imaging spectroradiometer (MODIS): Land remote sensing for global change research. IEEE Trans. Geosc. Remote Sens., 36:1228-1249.
  5. Martonchik, J. V., et al., 1998.  Determination of land and ocean reflective, radiative, and biophysical properties using multi-angle imaging. IEEE Trans. Geosc. Remote Sens.,36:1266-1281.
  6. Knyazikhin, Y., et al., 1998. Influence of small-scale structure on radiative transfer and photosynthesis in vegetation canopies. J. Geophys. Res., 103 (D6): 6133-6144.
  7. Myneni, R. B., et al., 1998. Interannual variations in satellite-sensed vegetation index data from 1981 to 1991. J. Geophys. Res., 103 (D6): 6145-6160.

Publications in 1997

  1. Myneni, R. B., et al., 1997. Algorithm for the estimation of global land cover, LAI and FPAR based on radiative transfer models. IEEE Trans. Geosc. Remote Sens., 35: 1380-1393.
  2. Myneni, R. B., et al., 1997. Increased plant growth in the northern high latitudes from 1981-1991. Nature, 386:698-701.

Complete List of Research Articles