Hao Tang

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2014 Geography University of Maryland, College Park, College Park, MD 
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"Hao Tang"
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Ma L, Hurtt G, Tang H, et al. (2023) Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biology
Boucher PB, Hancock S, Orwig DA, et al. (2020) Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation Remote Sensing. 12: 1304
Marselis SM, Abernethy K, Alonso A, et al. (2020) Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness Global Ecology and Biogeography
Rödig E, Knapp N, Fischer R, et al. (2019) From small-scale forest structure to Amazon-wide carbon estimates. Nature Communications. 10: 5088
Hancock S, Armston J, Hofton M, et al. (2019) The GEDI Simulator: A Large-Footprint Waveform Lidar Simulator for Calibration and Validation of Spaceborne Missions. Earth and Space Science (Hoboken, N.J.). 6: 294-310
Marselis SM, Tang H, Armston J, et al. (2019) Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon Environmental Research Letters. 14: 94013
Huang W, Dolan K, Swatantran A, et al. (2019) High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA Environmental Research Letters. 14: 95002
Hurtt G, Zhao M, Sahajpal R, et al. (2019) Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA Environmental Research Letters. 14: 45013
Tang H, Armston J, Hancock S, et al. (2019) Characterizing global forest canopy cover distribution using spaceborne lidar Remote Sensing of Environment. 231: 111262
Qi W, Lee S, Hancock S, et al. (2019) Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data Remote Sensing of Environment. 221: 621-634
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