| The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth¢s forests and topography R Dubayah, JB Blair, S Goetz, L Fatoyinbo, M Hansen, S Healey, ... Science of remote sensing 1, 100002, 2020 | 792 | 2020 |
| Global maps of twenty-first century forest carbon fluxes NL Harris, DA Gibbs, A Baccini, RA Birdsey, S De Bruin, M Farina, ... Nature Climate Change 11 (3), 234-240, 2021 | 783 | 2021 |
| Global declines in human‐driven mangrove loss L Goldberg, D Lagomasino, N Thomas, T Fatoyinbo Global change biology 26 (10), 5844-5855, 2020 | 711 | 2020 |
| Mangrove canopy height globally related to precipitation, temperature and cyclone frequency M Simard, L Fatoyinbo, C Smetanka, VH Rivera-Monroy, ... Nature Geoscience 12 (1), 40-45, 2019 | 408 | 2019 |
| Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions N Pettorelli, M Wegmann, A Skidmore, S Mücher, TP Dawson, ... Remote sensing in ecology and conservation 2 (3), 122-131, 2016 | 331 | 2016 |
| Flood extent mapping for Namibia using change detection and thresholding with SAR S Long, TE Fatoyinbo, F Policelli Environmental Research Letters 9 (3), 035002, 2014 | 267 | 2014 |
| Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM TE Fatoyinbo, M Simard International Journal of Remote Sensing 34 (2), 668-681, 2013 | 240 | 2013 |
| Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California L Duncanson, A Neuenschwander, S Hancock, N Thomas, T Fatoyinbo, ... Remote Sensing of Environment 242, 111779, 2020 | 222 | 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 | 214 | 2022 |
| Landscape‐scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data TE Fatoyinbo, M Simard, RA Washington‐Allen, HH Shugart Journal of Geophysical Research: Biogeosciences 113 (G2), 2008 | 196 | 2008 |
| Future carbon emissions from global mangrove forest loss MF Adame, RM Connolly, MP Turschwell, CE Lovelock, T Fatoyinbo, ... Global change biology 27 (12), 2856-2866, 2021 | 164 | 2021 |
| Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping CA Silva, L Duncanson, S Hancock, A Neuenschwander, N Thomas, ... Remote Sensing of Environment 253, 112234, 2021 | 158 | 2021 |
| Integrating remote sensing with ecology and evolution to advance biodiversity conservation J Cavender-Bares, FD Schneider, MJ Santos, A Armstrong, A Carnaval, ... Nature Ecology & Evolution 6 (5), 506-519, 2022 | 156 | 2022 |
| GEDI launches a new era of biomass inference from space R Dubayah, J Armston, SP Healey, JM Bruening, PL Patterson, JR Kellner, ... Environmental Research Letters 17 (9), 095001, 2022 | 116 | 2022 |
| Advanced land observing satellite phased array type L-Band SAR (ALOS PALSAR) to inform the conservation of mangroves: Sundarbans as a case study WA Cornforth, TE Fatoyinbo, TP Freemantle, N Pettorelli Remote sensing 5 (1), 224-237, 2013 | 112 | 2013 |
| Mapping mangrove extent and change: A globally applicable approach N Thomas, P Bunting, R Lucas, A Hardy, A Rosenqvist, T Fatoyinbo Remote Sensing 10 (9), 1466, 2018 | 111 | 2018 |
| Harnessing big data to support the conservation and rehabilitation of mangrove forests globally TA Worthington, DA Andradi-Brown, R Bhargava, C Buelow, P Bunting, ... One Earth 2 (5), 429-443, 2020 | 107 | 2020 |
| 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 | 95 | 2021 |
| Global hotspots of salt marsh change and carbon emissions AD Campbell, L Fatoyinbo, L Goldberg, D Lagomasino Nature 612 (7941), 701-706, 2022 | 94 | 2022 |
| Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta T Fatoyinbo, EA Feliciano, D Lagomasino, SK Lee, C Trettin Environmental Research Letters 13 (2), 025012, 2018 | 88 | 2018 |
David LagomasinoAssistant Professor, Department of Coastal Studies, East Carolina UniversityVerified email at ecu.edu
