| Mapping forest canopy height globally with spaceborne lidar M Simard, N Pinto, JB Fisher, A Baccini Journal of Geophysical Research: Biogeosciences 116 (G4), 2011 | 731 | 2011 |
| Beyond the least-cost path: evaluating corridor redundancy using a graph-theoretic approach N Pinto, TH Keitt Landscape Ecology 24 (2), 253-266, 2009 | 246 | 2009 |
| Multinational development and validation of an early prediction model for delirium in ICU patients A Wassenaar, M van den Boogaard, T van Achterberg, AJC Slooter, ... Intensive care medicine 41 (6), 1048-1056, 2015 | 91 | 2015 |
| Scale‐dependent responses to forest cover displayed by frugivore bats N Pinto, TH Keitt Oikos 117 (11), 1725-1731, 2008 | 56 | 2008 |
| An empirical assessment of temporal decorrelation using the uninhabited aerial vehicle synthetic aperture radar over forested landscapes M Simard, S Hensley, M Lavalle, R Dubayah, N Pinto, M Hofton Remote Sensing 4 (4), 975-986, 2012 | 46 | 2012 |
| Modeling the large-scale effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland TJ Bohn, E Podest, R Schroeder, N Pinto, KC McDonald, M Glagolev, ... Biogeosciences 10 (10), 6559-6576, 2013 | 42 | 2013 |
| Primate Densities in the Atlantic Forest of~ Southeast Brazil: The Role of Habitat Quality and Anthropogenic Disturbance N Pinto, J Lasky, R Bueno, TH Keitt, M Galetti South American Primates, 413-431, 2009 | 26 | 2009 |
| Mangrove canopy 3D structure and ecosystem productivity using active remote sensing M Simard, LE Fatoyinbo, N Pinto Remote Sensing of Coastal Environment, 61-78, 2010 | 21 | 2010 |
| The 2016 NASA AfriSAR campaign: Airborne SAR and Lidar measurements of tropical forest structure and biomass in support of future satellite missions L Fatoyinbo, N Pinto, M Hofton, M Simard, B Blair, S Saatchi, Y Lou, ... 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 17 | 2017 |
| Using InSAR coherence to map stand age in a boreal forest N Pinto, M Simard, R Dubayah Remote Sensing 5 (1), 42-56, 2013 | 15 | 2013 |
| LORACS: JAVA software for modeling landscape connectivity and matrix permeability N Pinto, TH Keitt, M Wainright Ecography 35 (5), 388-392, 2012 | 15 | 2012 |
| An overview of ABoVE airborne campaign data acquisitions and science opportunities CE Miller, PC Griffith, SJ Goetz, EE Hoy, N Pinto, IB McCubbin, AK Thorpe, ... Environmental Research Letters 14 (8), 080201, 2019 | 12 | 2019 |
| Evaluating SAR-optical sensor fusion for aboveground biomass estimation in a Brazilian tropical forest AB Debastiani, CR Sanquetta, AP Dalla Corte, NS Pinto, FE Rex Annals of Forest Research 62 (2), 109-122, 2019 | 7 | 2019 |
| The effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland. TJ Bohn, E Podest, R Schroeder, N Pinto, KC McDonald, M Glagolev, ... Biogeosciences Discussions 10 (4), 2013 | 5 | 2013 |
| Terrain radiometric calibration of airborne UAVSAR for forested area X Cheng, N Pinto, J Gong Geo-spatial Information Science 15 (4), 229-240, 2012 | 5 | 2012 |
| County-scale carbon estimation in NASA’s carbon monitoring system R Dubayah Biomass Carbon Storage, 2012 | 5 | 2012 |
| L-band and P-band studies of vegetation at JPL S Hensley, J Van Zyl, M Lavalle, M Neumann, T Michel, R Muellerschoen, ... 2015 IEEE Radar Conference, 516-520, 2015 | 4 | 2015 |
| Regressões robusta e linear para estimativa de biomassa via imagem sentinel em uma floresta tropical AB Debastiani, MM Moura, FE Rex, CR Sanquetta, AP Dalla Corte, ... BIOFIX Scientific Journal 4 (2), 81-87, 2019 | 3 | 2019 |
| Characterizing Vegetation 3D structure Globally using Spaceborne Lidar and Radar. M Simard, N Pinto, S Riddick AGU Fall Meeting Abstracts 2008, B41C-0402, 2008 | 3 | 2008 |
| AfriSAR: Mondah Forest Tree Species, Biophysical, and Biomass Data, Gabon, 2016. ORNL DAAC, Oak Ridge, Tenessee, USA TE Fatoyinbo, SS Saatchi, JD Armston, J Poulsen, SM Marselis, N Pinto, ... | 2 | 2018 |
