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Hao Tang
Hao Tang
National University of Singapore, University of Maryland College Park
Verified email at nus.edu.sg - Homepage
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Cited by
Cited by
Year
Mapping global forest canopy height through integration of GEDI and Landsat data
P Potapov, X Li, A Hernandez-Serna, A Tyukavina, MC Hansen, ...
Remote Sensing of Environment 253, 112165, 2021
9462021
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
R Dubayah, JB Blair, S Goetz, L Fatoyinbo, M Hansen, S Healey, ...
Science of remote sensing 1, 100002, 2020
9302020
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ...
Remote Sensing of Environment 270, 112845, 2022
2712022
The GEDI simulator: A large‐footprint waveform lidar simulator for calibration and validation of spaceborne missions
S Hancock, J Armston, M Hofton, X Sun, H Tang, LI Duncanson, ...
Earth and Space Science 6 (2), 294-310, 2019
2412019
Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA
H Tang, M Brolly, F Zhao, AH Strahler, CL Schaaf, S Ganguly, G Zhang, ...
Remote Sensing of Environment 143, 131-141, 2014
2202014
Retrieval of vertical LAI profiles over tropical rain forests using waveform lidar at La Selva, Costa Rica
H Tang, R Dubayah, A Swatantran, M Hofton, S Sheldon, DB Clark, ...
Remote Sensing of Environment 124, 242-250, 2012
2202012
Rapid, high-resolution forest structure and terrain mapping over large areas using single photon lidar
A Swatantran, H Tang, T Barrett, P DeCola, R Dubayah
Scientific reports 6 (1), 28277, 2016
1782016
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
X Liu, Y Su, T Hu, Q Yang, B Liu, Y Deng, H Tang, Z Tang, J Fang, Q Guo
Remote Sensing of Environment 269, 112844, 2022
1632022
Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure
H Tang, R Dubayah
Proceedings of the National Academy of Sciences 114 (10), 2640-2644, 2017
1422017
GEDI launches a new era of biomass inference from space
R Dubayah, J Armston, SP Healey, JM Bruening, PL Patterson, JR Kellner, ...
Environmental Research Letters 17 (9), 095001, 2022
1392022
GEDI L2A elevation and height metrics data global footprint level V002
R Dubayah, M Hofton, J Blair, J Armston, H Tang, S Luthcke
NASA EOSDIS Land Processes DAAC, 2020
1222020
Characterizing global forest canopy cover distribution using spaceborne lidar
H Tang, J Armston, S Hancock, S Marselis, S Goetz, R Dubayah
Remote Sensing of Environment 231, 111262, 2019
1222019
Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data
W Qi, SK Lee, S Hancock, S Luthcke, H Tang, J Armston, R Dubayah
Remote Sensing of Environment 221, 621-634, 2019
1112019
Large-scale retrieval of leaf area index and vertical foliage profile from the spaceborne waveform lidar (GLAS/ICESat)
Hao Tang, Ralph Dubayah, Matthew Brolly, Sangram Ganguly, Gong Zhang
Remote Sensing of Environment 154, 8-18, 2014
982014
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions
T Fatoyinbo, J Armston, M Simard, S Saatchi, M Denbina, M Lavalle, ...
Remote Sensing of Environment 264, 112533, 2021
742021
Algorithm theoretical basis document (ATBD) for GEDI L2B footprint canopy cover and vertical profile metrics
H Tang, J Armston, R Dubayah
Goddard Space Flight Center: Greenbelt, MD, USA, 2019
692019
GEDI L2B canopy cover and vertical profile metrics data global footprint level V001 [Data set]. NASA EOSDIS Land Processes DAAC
R Dubayah, H Tang, J Armston, S Luthcke, M Hofton, J Blair
Accessed 2023-05-16 from https://doi. org/10.5067/GEDI/GEDI02_B. 001, 2020
64*2020
High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA
W Huang, K Dolan, A Swatantran, K Johnson, H Tang, J O’Neil-Dunne, ...
Environmental Research Letters 14 (9), 095002, 2019
592019
Evaluating and mitigating the impact of systematic geolocation error on canopy height measurement performance of GEDI
H Tang, J Stoker, S Luthcke, J Armston, K Lee, B Blair, M Hofton
Remote Sensing of Environment 291, 113571, 2023
582023
Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness
SM Marselis, K Abernethy, A Alonso, J Armston, TR Baker, JF Bastin, ...
Global Ecology and Biogeography 29 (10), 1799-1816, 2020
582020
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