| 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 | 984 | 2021 |
| 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 | 962 | 2020 |
| An integrated pan‐tropical biomass map using multiple reference datasets V Avitabile, M Herold, GBM Heuvelink, SL Lewis, OL Phillips, GP Asner, ... Global change biology 22 (4), 1406-1420, 2016 | 713 | 2016 |
| Nondestructive estimates of above‐ground biomass using terrestrial laser scanning K Calders, G Newnham, A Burt, S Murphy, P Raumonen, M Herold, ... Methods in Ecology and Evolution 6 (2), 198-208, 2015 | 690 | 2015 |
| Terrestrial laser scanning in forest ecology: Expanding the horizon K Calders, J Adams, J Armston, H Bartholomeus, S Bauwens, LP Bentley, ... Remote Sensing of Environment 251, 112102, 2020 | 424 | 2020 |
| Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine B DeVries, C Huang, J Armston, W Huang, JW Jones, MW Lang Remote sensing of Environment 240, 111664, 2020 | 415 | 2020 |
| An evaluation of the ALOS PALSAR L-band backscatter—Above ground biomass relationship Queensland, Australia: Impacts of surface moisture condition and vegetation structure R Lucas, J Armston, R Fairfax, R Fensham, A Accad, J Carreiras, J Kelley, ... IEEE Journal of selected topics in applied earth observations and remote …, 2010 | 305 | 2010 |
| Terrestrial laser scanning for plot-scale forest measurement GJ Newnham, JD Armston, K Calders, MI Disney, JL Lovell, CB Schaaf, ... Current Forestry Reports 1, 239-251, 2015 | 298 | 2015 |
| 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 | 283 | 2022 |
| 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 | 248 | 2019 |
| Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California L Duncanson, A Neuenschwander, S Hancock, N Thomas, T Fatoyinbo, ... Remote Sensing of Environment 242, 111779, 2020 | 246 | 2020 |
| The importance of consistent global forest aboveground biomass product validation L Duncanson, J Armston, M Disney, V Avitabile, N Barbier, K Calders, ... Surveys in geophysics 40, 979-999, 2019 | 181 | 2019 |
| Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping CA Silva, L Duncanson, S Hancock, A Neuenschwander, N Thomas, ... Remote Sensing of Environment 253, 112234, 2021 | 180 | 2021 |
| Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles N Lang, N Kalischek, J Armston, K Schindler, R Dubayah, JD Wegner Remote sensing of environment 268, 112760, 2022 | 174 | 2022 |
| New opportunities for forest remote sensing through ultra-high-density drone lidar JR Kellner, J Armston, M Birrer, KC Cushman, L Duncanson, C Eck, ... Surveys in Geophysics 40, 959-977, 2019 | 173 | 2019 |
| Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery JD Armston, RJ Denham, TJ Danaher, PF Scarth, TN Moffiet Journal of Applied Remote Sensing 3 (1), 033540, 2009 | 169 | 2009 |
| Ground data are essential for biomass remote sensing missions J Chave, SJ Davies, OL Phillips, SL Lewis, P Sist, D Schepaschenko, ... Surveys in Geophysics 40, 863-880, 2019 | 162 | 2019 |
| 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 | 148 | 2022 |
| Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia M Schmidt, R Lucas, P Bunting, J Verbesselt, J Armston Remote Sensing of Environment 158, 156-168, 2015 | 148 | 2015 |
| Direct retrieval of canopy gap probability using airborne waveform lidar J Armston, M Disney, P Lewis, P Scarth, S Phinn, R Lucas, P Bunting, ... Remote Sensing of Environment 134, 24-38, 2013 | 143 | 2013 |
Ralph DubayahUniversity of Maryland, Geographical SciencesE-mail megerősítve itt: umd.edu