| 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 | 698 | 2016 |
| Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates D Lu, Q Chen, G Wang, E Moran, M Batistella, M Zhang, G Vaglio Laurin, ... International Journal of Forestry Research 2012 (1), 436537, 2012 | 341 | 2012 |
| Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data GV Laurin, Q Chen, JA Lindsell, DA Coomes, F Del Frate, L Guerriero, ... ISPRS Journal of Photogrammetry and Remote Sensing 89, 49-58, 2014 | 302 | 2014 |
| The full greenhouse gases budget of Africa: synthesis, uncertainties and vulnerabilities R Valentini, A Arneth, A Bombelli, S Castaldi, R Cazzolla Gatti, ... Biogeosciences 10 (5), 8343-8413, 2014 | 246 | 2014 |
| The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations M Santoro, O Cartus, N Carvalhais, DMA Rozendaal, V Avitabile, A Araza, ... Earth System Science Data 13 (8), 3927-3950, 2021 | 238 | 2021 |
| Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data GV Laurin Remote Sensing of Environment, 163-176, 2016 | 236 | 2016 |
| Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa GV Laurin, V Liesenberg, Q Chen, L Guerriero, F Del Frate, A Bartolini, ... International Journal of Applied Earth Observation and Geoinformation 21, 7-16, 2013 | 194 | 2013 |
| Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data GV Laurin, J Balling, P Corona, W Mattioli, D Papale, N Puletti, M Rizzo, ... Journal of Applied Remote Sensing 12 (1), 016008-016008, 2018 | 163 | 2018 |
| Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels Q Chen, GV Laurin, R Valentini Remote Sensing of Environment 160, 134-143, 2015 | 155 | 2015 |
| Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass Q Chen, GV Laurin, JJ Battles, D Saah Remote Sensing of Environment 121, 108-117, 2012 | 144 | 2012 |
| Biodiversity mapping in a tropical west african forest with airborne hyperspectral data GV Laurin, JCW Chan, Q Chen, JA Lindsell, DA Coomes, L Guerriero, ... PLOSONE 9 (6), e97910, 2014 | 92* | 2014 |
| Inferring plant functional diversity from space: the potential of Sentinel-2 X Ma, MD Mahecha, M Migliavacca, F van der Plas, R Benavides, ... Remote Sensing of Environment 233, 111368, 2019 | 89 | 2019 |
| A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps A Araza, S De Bruin, M Herold, S Quegan, N Labriere, P Rodriguez-Veiga, ... Remote Sensing of Environment 272, 112917, 2022 | 87 | 2022 |
| Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates GV Laurin, J Ding, M Disney, H Bartholomeus, M Herold, D Papale, ... International Journal of Applied Earth Observation and Geoinformation 82, 101899, 2019 | 74 | 2019 |
| Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests Vaglio Laurin G., Puletti N., Chen Q., Corona P., Valentini R. International Journal of Applied Earth Observation and Geoinformation 52 …, 2016 | 74 | 2016 |
| Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with lidar-derived estimates G Vaglio Laurin, F Pirotti, M Callegari, Q Chen, G Cuozzo, E Lingua, ... Remote Sensing 9 (1), 18, 2016 | 72 | 2016 |
| Smos retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates C Vittucci, P Ferrazzoli, Y Kerr, P Richaume, L Guerriero, R Rahmoune, ... Remote Sensing of Environment, 2016 | 71 | 2016 |
| Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward V Moudrý, AF Cord, L Gábor, GV Laurin, V Barták, K Gdulová, M Malavasi, ... Diversity and Distributions 29 (1), 39-50, 2023 | 67 | 2023 |
| Airborne LiDAR detects selectively logged tropical forest even in an advanced stage of recovery R Kent, JA Lindsell, G Vaglio Laurin, R Valentini, DA Coomes Remote Sensing 7 (7), 8348-8367, 2015 | 66 | 2015 |
| Co-limitation towards lower latitudes shapes global forest diversity gradients J Liang, JGP Gamarra, N Picard, M Zhou, B Pijanowski, DF Jacobs, ... Nature ecology & evolution 6 (10), 1423-1437, 2022 | 61 | 2022 |
Riccardo ValentiniUniversity of TusciaVerified email at unitus.it
