Publications 2021

  1. Ni et al., 2021. Vegetation Angular Signatures of Equatorial Forests From DSCOVR EPIC and Terra MISR Observations. Frontiers in Remote Sens., doi: 10.3389/frsen.2021.766805
  2. Yan et al., 2021. Modeling the radiation regime of a discontinuous canopy based on the stochastic radiative transport theory: Modification, evaluation and validation. Remote Sens. Environ., doi: 10.1016/j.rse.2021.112728
  3. Zhu et al., 2021. Comment on “Recent global decline of CO2 fertilization effects on vegetation photosynthesis”. Science, doi: 10.1126/science.abg5673
  4. Winkler et al., 2021. Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO2. Biogeosciences, 18, 4985–5010, Publisher Site
  5. Hashimoto et al., 2021. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests. Nature Communications,
  6. Xu et al., 2021. Seasonal biological carryover dominates northern vegetation growth. Nature Communications,
  7. Cortes et al., 2021. Where are Global Vegetation Greening and Browning Trends Significant? Geophys. Res. Lett., doi: 10.1029/2020GL091496
  8. Yan et al., 2021. Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products. Remote Sensing of Environment,
  9. Chen et al., 2021. Prototyping of LAI and FPAR Retrievals From GOES-16 Advanced Baseline Imager Data Using Global Optimizing Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sens., DOI: 10.1109/JSTARS.2021.3094647
  10. Yan et al., 2021. A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020. Journal of Remote Sensing,
  11. Gorkavy et al., 2021. Earth Imaging From the Surface of the Moon With a DSCOVR/EPIC-Type Camera. Frontiers in Remote Sensing, doi: 10.3389/frsen.2021.724074
  12. Yan et al., 2021. Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain. IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3064018