Follow
John Armston
John Armston
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
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
5272016
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
4862015
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
3742020
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
2762010
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
2352021
Terrestrial laser scanning for plot-scale forest measurement
GJ Newnham, JD Armston, K Calders, MI Disney, JL Lovell, CB Schaaf, ...
Current Forestry Reports 1 (4), 239-251, 2015
2052015
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
1582020
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
1532009
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
1422020
Integration of LiDAR and QuickBird imagery for mapping riparian biophysical parameters and land cover types in Australian tropical savannas
LA Arroyo, K Johansen, J Armston, S Phinn
Forest Ecology and Management 259 (3), 598-606, 2010
1332010
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
1322015
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
1132020
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
1122019
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
1122013
Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR
K Calders, J Armston, G Newnham, M Herold, N Goodwin
Agricultural and Forest Meteorology 194, 104-117, 2014
1052014
Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia
RM Lucas, N Cronin, M Moghaddam, A Lee, J Armston, P Bunting, C Witte
Remote Sensing of Environment 100 (3), 388-406, 2006
1042006
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 (4), 863-880, 2019
922019
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 (4), 979-999, 2019
912019
Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements
K Calders, T Schenkels, H Bartholomeus, J Armston, J Verbesselt, ...
Agricultural and Forest Meteorology 203, 158-168, 2015
902015
Mapping riparian condition indicators in a sub-tropical savanna environment from discrete return LiDAR data using object-based image analysis
K Johansen, LA Arroyo, J Armston, S Phinn, C Witte
Ecological Indicators 10 (4), 796-807, 2010
872010
The system can't perform the operation now. Try again later.
Articles 1–20