| TRY plant trait database–enhanced coverage and open access J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ... Global change biology 26 (1), 119-188, 2020 | 1443 | 2020 |
| A new urban landscape in East–Southeast Asia, 2000–2010 A Schneider, CM Mertes, AJ Tatem, B Tan, D Sulla-Menashe, SJ Graves, ... Environmental Research Letters 10 (3), 034002, 2015 | 194 | 2015 |
| Women are underrepresented on the editorial boards of journals in environmental biology and natural resource management AH Cho, SA Johnson, CE Schuman, JM Adler, O Gonzalez, SJ Graves, ... PeerJ 2, e542, 2014 | 123 | 2014 |
| Tree species abundance predictions in a tropical agricultural landscape with a supervised classification model and imbalanced data SJ Graves, GP Asner, RE Martin, CB Anderson, MS Colgan, L Kalantari, ... Remote Sensing 8 (2), 161, 2016 | 90 | 2016 |
| Outer bark thickness decreases more with height on stems of fire‐resistant than fire‐sensitive Floridian oaks (Quercus spp.; Fagaceae) SJ Graves, SW Rifai, FE Putz American Journal of Botany 101 (12), 2183-2188, 2014 | 75 | 2014 |
| A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ... Elife 10, e62922, 2021 | 59 | 2021 |
| A data science challenge for converting airborne remote sensing data into ecological information S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ... PeerJ 6, e5843, 2019 | 42 | 2019 |
| A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape SJ Graves, TT Caughlin, GP Asner, SA Bohlman Remote sensing of environment 218, 32-43, 2018 | 38 | 2018 |
| Integrating Li DAR‐derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape TT Caughlin, SW Rifai, SJ Graves, GP Asner, SA Bohlman Remote Sensing in Ecology and Conservation 2 (4), 190-203, 2016 | 37 | 2016 |
| A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network BG Weinstein, SJ Graves, S Marconi, A Singh, A Zare, D Stewart, ... PLoS computational biology 17 (7), e1009180, 2021 | 33 | 2021 |
| Estimating individual‐level plant traits at scale S Marconi, SJ Graves, BG Weinstein, S Bohlman, EP White Ecological Applications 31 (4), e02300, 2021 | 29* | 2021 |
| A hyperspectral image can predict tropical tree growth rates in single‐species stands TT Caughlin, SJ Graves, GP Asner, M Van Breugel, JS Hall, RE Martin, ... Ecological Applications 26 (8), 2369-2375, 2016 | 26 | 2016 |
| A digital mapping method for linking high-resolution remote sensing images to individual tree crowns S Graves, J Gearhart, TT Caughlin, S Bohlman PeerJ Preprints 6, e27182v1, 2018 | 18 | 2018 |
| Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine M Shahriari Nia, DZ Wang, SA Bohlman, P Gader, SJ Graves, M Petrovic Journal of Applied Remote Sensing 9 (1), 095990-095990, 2015 | 12 | 2015 |
| NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns BG Weinstein, S Marconi, S Bohlman, A Zare, A Singh, SJ Graves, ... BioRxiv, 2020.09. 08.287839, 2020 | 10 | 2020 |
| One-class Gaussian process for possibilistic classification using imaging spectroscopy L Kalantari, P Gader, S Graves, SA Bohlman IEEE Geoscience and Remote Sensing Letters 13 (7), 967-971, 2016 | 9 | 2016 |
| Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model BG Weinstein, S Marconi, SJ Graves, A Zare, A Singh, SA Bohlman, ... Remote Sensing in Ecology and Conservation 9 (5), 656-670, 2023 | 7* | 2023 |
| Species‐level tree crown maps improve predictions of tree recruit abundance in a tropical landscape C Barber, SJ Graves, JS Hall, PA Zuidema, J Brandt, SA Bohlman, ... Ecological Applications 32 (5), e2585, 2022 | 7 | 2022 |
| High-resolution remote sensing data as a boundary object to facilitate interdisciplinary collaboration TT Caughlin, SJ Graves, GP Asner, BC Tarbox, SA Bohlman Collaboration across boundaries for social-ecological systems science …, 2019 | 7 | 2019 |
| Hyperspectral measurement of seasonal variation in the coverage and impacts of an invasive grass in an experimental setting Y Guo, S Graves, SL Flory, S Bohlman Remote Sensing 10 (5), 784, 2018 | 7 | 2018 |
Stephanie BohlmanProfessor in the School of Forest, Fisheries and Geomatics Sciences, University of FloridaVerified email at ufl.edu
