This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
Dubayah, R., et al. (2020), The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography, Science of Remote Sensing, 1, 100002, doi:10.1016/j.srs.2020.100002. CCEP
Duncanson, L., et al. (2020), Biomass estimation from simulated GEDI, ICESat-2 and NISAR across T environmental gradients in Sonoma County, California, Remote Sensing of Environment, 242, 111779, doi:10.1016/j.rse.2020.111779. ESI, CCEP
Dungan, J. L., et al. (2002), A balanced view of scale in spatial statistical analysis, Ecography, 25, 626-640. CCEP
Fan, Y., et al. (2016), Neural network method to correct bidirectional effects in water-leaving radiance, Appl. Opt., 55, 1559, doi:10.1364/AO.55.000010. CCEP, OBB, RSP
Fang, Y., and A. M. Michalak (2015), Atmospheric observations inform CO2 flux responses to enviroclimatic drivers, Global Biogeochem. Cycles, 29, 555-566, doi:10.1002/2014GB005034. CCEP
Fang, Y., et al. (2014), Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models, Biogeosciences, 11, 6985-6997, doi:10.5194/bg-11-6985-2014. CCEP
Fang, Y., et al. (2017), Global land carbon sink response to temperature and precipitation varies with ENSO phase, Environmental Research Letters, 12, 064007, doi:10.1088/1748-9326/aa6e8e. CCEP
Feng, S., et al. (2019), Seasonal characteristics of model uncertainties from biogenic fluxes, transport, and large‐scale boundary inflow in atmospheric CO2 simulations over North America, J. Geophys. Res., 124, 14325-, doi:10.1029/2019JD031165. TCP, CCEP
Feng, S., et al. (2022), Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US Nicholas C. Parazoo1 , Kevin W. Bowman1 , Bianca C. Baier2,3 , Junjie Liu1 , Meemong Lee1 , Le Kuai1 , , Global Biogeochem. Cycles. , TCP, CCEP
Ferraz, A., et al. (2016), Lidar detection of individual tree size in tropical forests, Remote Sensing of Environment, 183, 318-333, doi: CCEP
Ferraz, A., et al. (2016), Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory, Remote Sensing, 8, doi: CCEP
Ferraz, A., et al. (2018), Carbon Storage Potential in Degraded Forests of Kalimantan, Indonesia. Environmental Research Letters, 13, doi:10.1088/1748-9326/aad782. CCEP
Ferraz, A., et al. (2018), Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes, Remote Sensing, 10, 1-16, doi:10.3390/rs10020164. CCEP
Ferraz, A., et al. (2020), Tropical tree size–frequency distributions from airborne lidar , Ecological Applications, e02154. CCEP
Fisher, J. B., et al. (2020), Competing effects of soil fertility and toxicity on tropical greening, Scientific Reports, 10, 1-10, doi:10.1038/s41598-020-63589-1. IDS, CCEP
Fisher, J. B., et al. (2020), ECOSTRESS: NASA’s next generation mission to measure evapotranspiration from the International Space Station, Water Resources Research, 56, 1-20. THP, ASP, EWCP, CCEP
Friedlingstein, P., et al. (2006), Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison, J. Climate, 19, 3337-3353. CCEP
Friedlingstein, P., et al. (2022), Global Carbon Budget 2021, Earth Syst. Sci. Data, 14, 1917-2005, doi:10.5194/essd-14-1917-2022. , CCEP
Garcia, M., et al. (2017), Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR, Carbon Balance Management., 12. CCEP
Gately, C. K., et al. (2017), Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data*, Environmental Pollution, 229, 496-504, doi:10.1016/j.envpol.2017.05.091. CCEP