| A systematic, regional assessment of high mountain Asia glacier mass balance DE Shean, S Bhushan, P Montesano, DR Rounce, A Arendt, ... Frontiers in Earth Science 7, 363, 2020 | 531 | 2020 |
| 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 | 442 | 2022 |
| NASA Goddard’s LiDAR, hyperspectral and thermal (G-LiHT) airborne imager BD Cook, LA Corp, RF Nelson, EM Middleton, DC Morton, JT McCorkel, ... Remote Sensing 5 (8), 4045-4066, 2013 | 343 | 2013 |
| Validation of ICESat-2 terrain and canopy heights in boreal forests A Neuenschwander, E Guenther, JC White, L Duncanson, P Montesano Remote Sensing of Environment 251, 112110, 2020 | 245 | 2020 |
| Forest biomass mapping from lidar and radar synergies G Sun, KJ Ranson, Z Guo, Z Zhang, P Montesano, D Kimes Remote Sensing of Environment 115 (11), 2906-2916, 2011 | 222 | 2011 |
| Estimating Siberian timber volume using MODIS and ICESat/GLAS R Nelson, KJ Ranson, G Sun, DS Kimes, V Kharuk, P Montesano Remote Sensing of Environment 113 (3), 691-701, 2009 | 208 | 2009 |
| A blended global snow product using visible, passive microwave and scatterometer satellite data JL Foster, DK Hall, JB Eylander, GA Riggs, SV Nghiem, M Tedesco, E Kim, ... International journal of remote sensing 32 (5), 1371-1395, 2011 | 177 | 2011 |
| Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma D Lagomasino, T Fatoyinbo, E Castañeda-Moya, BD Cook, ... Nature Communications 12 (1), 4003, 2021 | 172 | 2021 |
| Best merge region-growing segmentation with integrated nonadjacent region object aggregation JC Tilton, Y Tarabalka, PM Montesano, E Gofman IEEE Transactions on Geoscience and Remote Sensing 50 (11), 4454-4467, 2012 | 156 | 2012 |
| A multi-scale segmentation approach to mapping seagrass habitats using airborne digital camera imagery RG Lathrop, P Montesano, S Haag Photogrammetric Engineering & Remote Sensing 72 (6), 665-675, 2006 | 138 | 2006 |
| Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations R Nelson, H Margolis, P Montesano, G Sun, B Cook, L Corp, ... Remote Sensing of Environment 188, 127-140, 2017 | 133 | 2017 |
| Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America HA Margolis, RF Nelson, PM Montesano, A Beaudoin, G Sun, ... Canadian Journal of Forest Research 45 (7), 838-855, 2015 | 133 | 2015 |
| MODIS tree cover validation for the circumpolar taiga–tundra transition zone PM Montesano, R Nelson, G Sun, H Margolis, A Kerber, KJ Ranson Remote Sensing of Environment 113 (10), 2130-2141, 2009 | 133 | 2009 |
| Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR CSR Neigh, RF Nelson, KJ Ranson, HA Margolis, PM Montesano, G Sun, ... Remote Sensing of Environment 137, 274-287, 2013 | 124 | 2013 |
| Mapping biomass change after forest disturbance: Applying LiDAR footprint-derived models at key map scales W Huang, G Sun, R Dubayah, B Cook, P Montesano, W Ni, Z Zhang Remote Sensing of Environment 134, 319-332, 2013 | 98 | 2013 |
| DoesPhragmites expansion alter the structure and function of marsh landscapes? Patterns and processes revisited RG Lathrop, L Windham, P Montesano Estuaries 26, 423-435, 2003 | 97 | 2003 |
| Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data S Puliti, M Hauglin, J Breidenbach, P Montesano, CSR Neigh, J Rahlf, ... Remote Sensing of Environment 236, 111501, 2020 | 93 | 2020 |
| Space‐based observations for understanding changes in the arctic‐boreal zone BN Duncan, LE Ott, JB Abshire, L Brucker, ML Carroll, J Carton, ... Reviews of Geophysics 58 (1), e2019RG000652, 2020 | 90 | 2020 |
| The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient PM Montesano, J Rosette, G Sun, P North, RF Nelson, RO Dubayah, ... Remote Sensing of Environment 158, 95-109, 2015 | 83 | 2015 |
| Achieving accuracy requirements for forest biomass mapping: A spaceborne data fusion method for estimating forest biomass and LiDAR sampling error PM Montesano, BD Cook, G Sun, M Simard, RF Nelson, KJ Ranson, ... Remote Sensing of Environment 130, 153-170, 2013 | 81 | 2013 |
Christopher S.R. NeighNASA Goddard Spaceflight CenterVerified email at nasa.gov
