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Suzanne Marselis
Suzanne Marselis
Verified email at cml.leidenuniv.nl
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Cited by
Year
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
6492020
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
1472022
Characterizing global forest canopy cover distribution using spaceborne lidar
H Tang, J Armston, S Hancock, S Marselis, S Goetz, R Dubayah
Remote Sensing of Environment 231, 111262, 2019
1022019
Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification
SM Marselis, M Yebra, T Jovanovic, AIJM van Dijk
Environmental modelling & software 82, 142-151, 2016
512016
Agricultural land displacement and undernourishment
SM Marselis, K Feng, Y Liu, JD Teodoro, K Hubacek
Journal of Cleaner Production 161, 619-628, 2017
502017
Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness
SM Marselis, K Abernethy, A Alonso, J Armston, TR Baker, JF Bastin, ...
Global Ecology and Biogeography 29 (10), 1799-1816, 2020
482020
Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon
SM Marselis, H Tang, JD Armston, K Calders, N Labrière, R Dubayah
Remote sensing of environment 216, 626-634, 2018
482018
The global ecosystem dynamics investigation: high-resolution laser ranging of the Earth’s forests and topography, Sci. Remote Sens., 1, 100002
R Dubayah, JB Blair, S Goetz, L Fatoyinbo, M Hansen, S Healey, ...
452020
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions
T Fatoyinbo, J Armston, M Simard, S Saatchi, M Denbina, M Lavalle, ...
Remote Sensing of Environment 264, 112533, 2021
432021
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. Science of Remote Sensing 1, 100002
R Dubayah, JB Blair, S Goetz, L Fatoyinbo, M Hansen, S Healey, ...
292020
Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon
SM Marselis, H Tang, J Armston, K Abernethy, A Alonso, N Barbier, ...
Environmental Research Letters 14 (9), 094013, 2019
232019
The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
SM Marselis, P Keil, JM Chase, R Dubayah
Environmental Research Letters 17 (4), 045003, 2022
202022
Using LiDAR for forest and fuel structure mapping: options, benefits, requirements and costs
M Yebra, S Marselis, A Van Dijk, G Cary, Y Chen
Bushfire & Natural Hazards CRC: East Melbourne, Vic, 2015
142015
Afrisar: Gridded forest biomass and canopy metrics derived from lvis, gabon, 2016
J Armston, H Tang, S Hancock, S Marselis, L Duncanson, JR KELLNER, ...
ORNL DAAC, 2020
122020
AfriSAR: Mondah Forest Tree Species, Biophysical, and Biomass Data, Gabon, 2016
T Fatoyinbo, SS Saatchi, J Armston, J Poulsen, S Marselis, N Pinto, ...
ORNL DAAC, 2018
82018
Spaceborne data fusion for large-scale forest parameter estimation: GEDI LiDAR & Tandem-X INSAR missions
SK Lee, T Fatoyinbo, SM Marselis, W Qi, S Hancock, J Armston, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
62019
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of future space missions
T Fatoyinbo, J Armston, M Simard, S Saatchi, M Denbina, M Lavalle, ...
Authorea Preprints, 2022
52022
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, ...
32018
Co-designing a research agenda for climate adaptation in El Salvador’s coffee sector: A transdisciplinary perspective
JD Teodoro, S Marselis, A Maiello, A Häger
Environmental Science & Policy 153, 103678, 2024
2024
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images
J Wąsala, S Marselis, L Arp, H Hoos, N Longépé, M Baratchi
Remote Sensing 16 (3), 443, 2024
2024
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