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Martin Schwartz
Martin Schwartz
Post-Doc, LSCE
Verifierad e-postadress på lsce.ipsl.fr - Startsida
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High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
M Schwartz, P Ciais, C Ottlé, A De Truchis, C Vega, I Fayad, M Brandt, ...
International Journal of Applied Earth Observation and Geoinformation 128 …, 2024
412024
Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale mapping of canopy height
I Fayad, P Ciais, M Schwartz, JP Wigneron, N Baghdadi, A de Truchis, ...
Remote Sensing of Environment 302, 113945, 2024
372024
FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics …
M Schwartz, P Ciais, A De Truchis, J Chave, C Ottlé, C Vega, ...
Earth System Science Data 15 (11), 4927-4945, 2023
292023
High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France
L Vallet, M Schwartz, P Ciais, D Van Wees, A De Truchis, F Mouillot
Biogeosciences 20 (18), 3803-3825, 2023
82023
High resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, seizing the 2022 fire season distinctiveness in France
L Vallet, M Schwartz, P Ciais, D van Wees, A de Truchis, F Mouillot
EGUsphere 2023, 1-39, 2023
52023
Estimating canopy height at scale
J Pauls, M Zimmer, UM Kelly, M Schwartz, S Saatchi, P Ciais, S Pokutta, ...
arXiv preprint arXiv:2406.01076, 2024
42024
Open-Canopy: A country-scale benchmark for canopy height estimation at very high resolution
F Fogel, Y Perron, N Besic, L Saint-André, A Pellissier-Tanon, M Schwartz, ...
arXiv preprint arXiv:2407.09392, 2024
32024
Combining satellite images with national forest inventory measurements for monitoring post-disturbance forest height growth
A Pellissier-Tanon, P Ciais, M Schwartz, I Fayad, Y Xu, F Ritter, ...
Frontiers in Remote Sensing 5, 1432577, 2024
12024
Mapping forest height and biomass at high resolution in France with satellite remote sensing and deep learning
M Schwartz
Université Paris-Saclay, 2023
12023
High Resolution Tree Height Maps of the Landes Forest (France) based on GEDI, Sentinel-1 and Sentinel-2 data: a Deep Learning Approach
M Schwartz, P Ciais, C Ottle
ForestSAT2022, 2022
12022
Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?
N Besic, N Picard, C Vega, JD Bontemps, L Hertzog, JP Renaud, F Fogel, ...
Geoscientific Model Development 18 (2), 337-359, 2025
2025
Biomass and climate-Save the climate 2024 summer school
E Maucort, P Mathis, M Deffrennes, G Moritz, B Daviron, Y Le Roux, ...
2024
Bayesian model averaging of AI models for the high resolution mapping of the forest canopy height
N Besic, N Picard, C Vega, JP Renaud, M Schwartz, M Planells, P Ciais
EGU24, 2024
2024
Des données à haute résolution révèlent une forte perte de biomasse dans les forêts tempérées et de pins atlantiques, ce qui permet de replacer la saison des incendies de 2022 …
L Vallet, M Schwartz, P Ciais, D van Wees, A de Truchis, F Mouillot, ...
2023
High Resolution Biomass and Height Maps of the Landes Forest (France) based on GEDI, Sentinel-1 and Sentinel-2 data: a Deep Learning Approach
M Schwartz, P Ciais, C Ottlé, JP Wigneron, A De Truchis, S Li, M Brandt, ...
AGU Fall Meeting Abstracts 2021, B45H-1719, 2021
2021
Which future for the coal unit of the Emile-Huchet power plant? Contextualisation note on the electricity system and biomass conversion
S Timsit, J Mosse, M Schwartz
2019
Multi-sensor analysis of changing growing season dynamics across northwest North America since 1998
R Nemani, M White, M Schwartz, S Saatchi, R Myneni, M Dettinger, ...
AGU Fall Meeting Abstracts 2005, B43B-0265, 2005
2005
Update on Plans to Establish a National Phenology Network in the USA
J Betancourt, M Schwartz, D Breshears, D Cayan, M Dettinger, D Inouye, ...
AGU Fall Meeting Abstracts 2005, B41E-03, 2005
2005
Bienvenue dans la collection Hal-ISPA
M Schwartz, P Ciais, C Ottlé, A de Truchis, C Vega
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Artiklar 1–19