| 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 |
| 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 | 333 | 2012 |
| Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data G Vaglio Laurin, Q Chen, JA Lindsell, DA Coomes, F Del Frate, ... ISPRS Journal of Photogrammetry and Remote Sensing 89, 49-58, 2014 | 309 | 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 | 252 | 2021 |
| A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities R Valentini, A Arneth, A Bombelli, S Castaldi, R Cazzolla Gatti, ... Biogeosciences 11 (2), 381-407, 2014 | 252 | 2014 |
| Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data G Vaglio Laurin, N Puletti, W Hawthorne, V Liesenberg, P Corona, ... Remote Sensing of Environment 176, 163-176, 2016 | 240 | 2016 |
| Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa G Vaglio Laurin, V Liesenberg, Q Chen, L Guerriero, F Del Frate, ... International Journal of Applied Earth Observation and Geoinformation 21, 7-16, 2013 | 196 | 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 | 164 | 2018 |
| Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels Q Chen, G Vaglio Laurin, R Valentini Remote Sensing of Environment 160, 134-143, 2015 | 158 | 2015 |
| Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass Q Chen, G Vaglio Laurin, JJ Battles, D Saah Remote Sensing of Environment 121, 108-117, 2012 | 144 | 2012 |
| 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 | 93 | 2019 |
| Biodiversity mapping in a tropical West African forest with airborne hyperspectral data G Vaglio Laurin, JCW Chan, Q Chen, JA Lindsell, DA Coomes, ... PloS one 9 (6), e97910, 2014 | 93 | 2014 |
| 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 | 90 | 2022 |
| Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests G Vaglio Laurin, N Puletti, Q Chen, P Corona, D Papale, R Valentini International Journal of Applied Earth Observation and Geoinformation 52 …, 2016 | 79 | 2016 |
| 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 |
| 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 180, 115-127, 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 | 73 | 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 | 72 | 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 | 68 | 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 | 64 | 2022 |
Riccardo ValentiniUniversity of TusciaE-mail megerősítve itt: unitus.it