Hao Tang
Affiliations: | 2014 | Geography | University of Maryland, College Park, College Park, MD |
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"Hao Tang"
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Duncanson L, Hunka N, Jucker T, et al. (2025) Spatial resolution for forest carbon maps. Science (New York, N.Y.). 387: 370-371 |
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 |