Publications 2021
- 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
- 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
- Zhu et al., 2021. Comment on “Recent global decline of CO2 fertilization effects on vegetation photosynthesis”. Science, doi: 10.1126/science.abg5673
- Winkler et al., 2021. Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO2. Biogeosciences, 18, 4985–5010, Publisher Site
- Hashimoto et al., 2021. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests. Nature Communications, https://doi.org/10.1038/s41467-021-20994-y
- Xu et al., 2021. Seasonal biological carryover dominates northern vegetation growth. Nature Communications, https://doi.org/10.1038/s41467-021-21223-2
- Cortes et al., 2021. Where are Global Vegetation Greening and Browning Trends Significant? Geophys. Res. Lett., doi: 10.1029/2020GL091496
- 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, https://doi.org/10.1016/j.rse.2021.112438
- 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
- Yan et al., 2021. A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020. Journal of Remote Sensing, https://doi.org/10.34133/2021/7410921
- 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
- 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