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S. Marselis · SciRah

Researcher profile · Semantic Scholar

S. Marselis

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S. Marselis — researcher profile on SciRah

h-index: 15
Works: 36
Citations: 2,384

Most-cited papers

The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
R. Dubayah, J. Blair, S. Goetz, L. Fatoyinbo +15 more
2020Science of Remote Sensing1,194 citations Open access
Semantic Scholar
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L. Duncanson, J. Kellner, J. Armston, R. Dubayah +114 more
2022Remote Sensing of Environment455 citations Open access
Semantic Scholar
LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review
M. Balestra, S. Marselis, T. Sankey, Carlos Cabo +8 more
2024Current Forestry Reports116 citations Open access
Semantic Scholar
Characterizing global forest canopy cover distribution using spaceborne lidar
Hao Tang, J. Armston, S. Hancock, S. Marselis +2 more
2019Remote Sensing of Environment108 citations Open access
Semantic Scholar
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 +27 more
202188 citations Open access
Semantic Scholar
Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness
S. Marselis, K. Abernethy, A. Alonso, J. Armston +28 more
2020Global Ecology and Biogeography50 citations Open access
Semantic Scholar
Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon
S. Marselis, Hao Tang, J. Armston, K. Calders +2 more
2018Remote Sensing of Environment50 citations
Semantic Scholar
Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon
S. Marselis, Hao Tang, J. Armston, K. Abernethy +12 more
2019Environmental Research Letters44 citations Open access
Semantic Scholar
Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification
S. Marselis, M. Yebra, T. Jovanovic, A. van Dijk
2016Environmental Modelling & Software44 citations Open access
Semantic Scholar
Agricultural land displacement and undernourishment
S. Marselis, K. Feng, Yu Liu, J. D. Teodoro +1 more
201741 citations
Semantic Scholar
Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed
Vítězslav Moudrý, Lukáš Gábor, S. Marselis, Petra Pracná +15 more
2024Ecosphere39 citations Open access
Semantic Scholar
The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
S. Marselis, P. Keil, Jonathan M. Chase, R. Dubayah
2022Environmental Research Letters38 citations Open access
Semantic Scholar
How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?
Vítězslav Moudrý, J. Prošek, S. Marselis, Jana Marešová +15 more
2024Earth and Space Science32 citations Open access
Semantic Scholar
The use of living labs to advance agro-ecological theory in the transition towards sustainable land use: A tale of two polders
S. Marselis, S. Hannula, K. Trimbos, Matty P. Berg +8 more
2024Environmental impact assessment review19 citations Open access
Semantic Scholar
AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016
J. Armston, H. Tang, S. Hancock, S. Marselis +6 more
202017 citations
Semantic Scholar
Consumer resistance diminishes environmental gains of dietary change
Clara Payró, Oliver Taherzadeh, M. van Oorschot, J. Koch +1 more
2024Environmental Research Letters14 citations Open access
Semantic Scholar
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images
Julia Wąsala, S. Marselis, Laurens Arp, Holger H. Hoos +2 more
2024Remote Sensing12 citations Open access
Semantic Scholar
Towards sustainable agriculture: A blueprint for European KPI-based farm-level assessment
B. Barış, S. Marselis, G. Ros, A. V. van Doorn +1 more
2025Ecological Indicators8 citations Open access
Semantic Scholar
AfriSAR: Mondah Forest Tree Species, Biophysical, and Biomass Data, Gabon, 2016
Temilola Fatoyinbo, S. Saatchi, J. Armston, J. Poulsen +4 more
20188 citations
Semantic Scholar
Spaceborne Data Fusion for Large-Scale Forest Parameter Estimation: GEDI Lidar & Tandem-X INSAR Missions
Seung-Kuk Lee, T. Fatoyinbo, S. Marselis, W. Qi +3 more
2019IEEE International Geoscience and Remote Sensing Symposium7 citations
Semantic Scholar
USING LIDAR FOR FOREST AND FUEL STRUCTURE MAPPING : OPTIONS , BENEFITS , REQUIREMENTS AND
Yebra, S. Marselis, V. Dijk
20157 citations
Semantic Scholar
Co-designing a research agenda for climate adaptation in El Salvador’s coffee sector: A transdisciplinary perspective
J. D. Teodoro, S. Marselis, A. Maiello, Achim Häger
2024Environmental Science & Policy3 citations Open access
Semantic Scholar
On the transferability of rule sets for mapping cirques using Object-based feature extraction from LiDAR data
A. Seijmonsbergen, R. Gabriner, S. Marselis, N. Anders +1 more
20143 citations
Semantic Scholar
Algorithm theoretical basis for GEDI level-4A footprint above ground biomass density.
J. Kellner, J. Armston, J. Blair, L. Duncanson +6 more
20171 citations
Semantic Scholar
Key Performance Indicators to Bend the Curve: A Vision on Reversing Environmental Degradation
S. Marselis, A. V. van Doorn, N. Oerlemans, K. Biesmeijer +1 more
2022Social Science Research Network0 citations Open access
Semantic Scholar
Master Computer Science
Maarten Vink, S. Marselis
20220 citations
Semantic Scholar
Title: 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 +27 more
20210 citations Open access
Semantic Scholar
Characterizing tree species diversity in the tropics using full-waveform lidar data
S. Marselis
20190 citations
Semantic Scholar
Evaluating the potential of full-waveform lidar data for predicting tree species richness in the tropics
S. Marselis, J. D. Armston, L. Duncanson, M. Fitzpatrick +5 more
20190 citations
Semantic Scholar
Cross-validation and Transferability Performance of GEDI Footprint Aboveground Biomass Models
J. Kellner, L. Duncanson, J. Armston, J. Blair +9 more
20180 citations
Semantic Scholar
Characterizing Exterior and Interior Tropical Forest Structure Variability with Full-Waveform Airborne LIDAR Data in Lopé, Gabon
S. Marselis, H. Tang, J. Blair, M. Hofton +2 more
20170 citations
Semantic Scholar
Forest biomass mapping from fusion of GEDI Lidar data and TanDEM-X InSAR data
W. Qi, S. Hancock, J. Armston, S. Marselis +1 more
20170 citations
Semantic Scholar
The impact of forest structure and spatial scale on the relationship between ground plot above ground biomass and GEDI lidar waveforms
J. Armston, S. Marselis, S. Hancock, L. Duncanson +5 more
20170 citations
Semantic Scholar
Associations between aboveground forest biomass and waveform LiDAR metrics: implications for modeling footprint-level biomass using Global Ecosystem Dynamics Investigation data.
J. Kellner, J. Blair, L. Duncanson, S. Hancock +8 more
20160 citations
Semantic Scholar
LiDAR improves fire behaviour predictions using a biophysical, mechanistic model
Philip Zylstra, Bronwyn L Horsey, M. Yebra, S. Marselis
20160 citations
Semantic Scholar
The conceptual and scientific motivation for the Global Ecosystem Dynamics Investigation
J. Kellner, R. Dubayah, S. Luthcke, G. Hurtt +13 more
20150 citations
Semantic Scholar

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