Yifan Yu, Ph.D.
Affiliations: | 2013 | Atmospheric & Oceanic Sciences 002E | University of California, Los Angeles, Los Angeles, CA |
Area:
Remote Sensing, Environmental Sciences, Atmospheric Sciences, BiogeochemistryGoogle:
"Yifan Yu"Mean distance: (not calculated yet)
Parents
Sign in to add mentorSassan S. Saatchi | grad student | 2013 | UCLA | |
(Global Distribution of Carbon Stock in Live Woody Vegetation.) |
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Publications
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Xu L, Saatchi SS, Yang Y, et al. (2021) Changes in global terrestrial live biomass over the 21st century. Science Advances. 7 |
Yang Y, Saatchi SS, Xu L, et al. (2018) Post-drought decline of the Amazon carbon sink. Nature Communications. 9: 3172 |
Ferraz A, Saatchi S, Xu L, et al. (2018) Carbon storage potential in degraded forests of Kalimantan, Indonesia Environmental Research Letters. 13: 95001 |
Shi M, Liu J, Zhao M, et al. (2017) Mechanistic Processes Controlling Persistent Changes of Forest Canopy Structure After 2005 Amazon Drought Journal of Geophysical Research. 122: 3378-3390 |
Konings AG, Yu Y, Xu L, et al. (2017) Active microwave observations of diurnal and seasonal variations of canopy water content across the humid African tropical forests Geophysical Research Letters. 44: 2290-2299 |
Harris NL, Hagen SC, Saatchi SS, et al. (2016) Attribution of net carbon change by disturbance type across forest lands of the conterminous United States. Carbon Balance and Management. 11: 24 |
Xu L, Saatchi SS, Yang Y, et al. (2016) Performance of non-parametric algorithms for spatial mapping of tropical forest structure. Carbon Balance and Management. 11: 18 |
Yu Y, He J, Zhao S, et al. (2016) Numerical simulation of the impact of reforestation on winter meteorology and environment in a semi-arid urban valley, Northwestern China. The Science of the Total Environment. 569: 404-415 |
Yu Y, Saatchi S. (2016) Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests Remote Sensing. 8: 522 |
Yang Y, Saatchi SS, Xu L, et al. (2016) Abiotic controls on macroscale variations of humid tropical forest height Remote Sensing. 8 |