Publications 2016

  1. Zhu et al., 2016. Greening of the Earth and its Drivers. Nature Climate Change, doi:10.1038/nclimate3004
  2. Mao et al., 2016. Human-induced Greening of the Northern Extratropical Land Surface. Nature Climate Change, doi: 10.1038/nclimate3056
  3. Li et al., 2016. Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets. PNAS, doi: 10.1073/pnas.1603956113
  4. Choi et al., 2016. Application of the metabolic scaling theory and water–energy balance equation to model large-scale patterns of maximum forest canopy height. Global Ecol. Biogeography, doi:10.1111/geb.12503
  5. Park et al., 2016. Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data. Env. Res. Lett., doi:10.1088/1748-9326/11/8/084001
  6. Yan et al., 2016. Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements, Remote Sensing, doi:10.3390/rs8050359
  7. Yan et al., 2016. Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison, Remote Sensing, doi:10.3390/rs8060460
  8. Bi et al., 2016. Amazon Forests’ Response to Droughts: A Perspective from the MAIAC Product, Remote Sensing, doi:10.3390/rs8040356
  9. Yang et al., 2016. Abiotic Controls on Macroscale Variations of Humid Tropical Forest Height, Remote Sensing, doi:10.3390/rs8060494
  10. Yang et al., 2016. Analyses of Impact of Needle Surface Properties on Estimation of Needle Absorption Spectrum: Case Study with Coniferous Needle and Shoot Samples, Remote Sensing, doi::10.3390/rs8070563
  11. Chen et al., 2016. Satellite-observed changes in terrestrial vegetation growth trends across the Asia-Pacific region associated with land cover and climate from 1982 to 2011. Int. J. Digital Earth (doi:10.1080/17538947.2016.1180549)
  12. Yan et al., 2016. Assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982-2011 by using PDSI indices and agriculture drought survey data. J. Geophys. Res., (Atmos.), (doi:10.1002/2015JD024285)
  13. Yin et al., 2016. Nonlinear variations of forest leaf area index over China during 1982–2010 based on EEMD method. Int J Biometeorol., DOI 10.1007/s00484-016-1277-x
  14. Catalano et al., 2016. Observationally based analysis of land–atmosphere coupling. Earth Syst. Dynam. Discuss., Earth Syst. Dynam., 7, 251–266, 2016 (doi:10.5194/esd-7-251-2016)