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Bienvenue sur la collection HAL de l'UMR TETIS
Dernières publications
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Karine Adeline, Jean-Baptiste Féret, Harold Clenet, Jean-Marc Limousin, Jean-Marc Ourcival, et al.. Multi-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France). Data in Brief, 2024, 53, pp.110185. ⟨10.1016/j.dib.2024.110185⟩. ⟨hal-04472476⟩
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Martin Schwartz, Philippe Ciais, Catherine Ottlé, Aurelien de Truchis, Cedric Vega, et al.. High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. International Journal of Applied Earth Observation and Geoinformation, 2024, 128, pp.103711. ⟨10.1016/j.jag.2024.103711⟩. ⟨hal-04489474⟩
Références
1 407
Texte intégral
1 277
Open Access
52 %
Mots-clés
Biomass
Food security
TRES HAUTE RESOLUTION SPATIALE
SENTINEL-1
BIOMASSE
Climate change
Soil moisture
LIDAR
ILE DE LA REUNION
Deep learning
SYSTEME D'INFORMATION GEOGRAPHIQUE
BASSIN DE THAU
REMOTE SENSING
LIBAN
Cartographie
Lidar
GEDI
AGRICULTURE
IMAGE SATELLITE
HYDROLOGIE
SIG
AMENAGEMENT DU TERRITOIRE
Corpus
Modelling
Gouvernance
EUROPE
TUNISIE
TERRASAR-X
GEOSUD
Territoire
Remote sensing
GOUVERNANCE
SIMULATION
Madagascar
Text Mining
LANGUEDOC ROUSSILLON
Machine learning
Irrigation
SOIL MOISTURE
FORET
Satellite image time series
HUMIDITE DU SOL
Vegetation
NDVI
Politique publique
RADAR A SYNTHESE D'OUVERTURE
SYNTHETIC APERTURE RADAR
SENTINEL-2
IMAGE SATELLITAIRE
Thèse
UML
FRANCE
MNT
Fouille de données
SURVEILLANCE
DART
Data mining
Modélisation
Forest
C-band
Biodiversity
BIODIVERSITE
Sentinel-2
DTM
ANALYSE DE DONNEES
LAI
Radar
GUYANE FRANCAISE
IMAGERIE
France
SAR
Natural language processing
BIOMASS
MODIS
Text mining
Télédétection
Cartography
TELEDETECTION
AIDE A LA DECISION
Agriculture
RUGOSITE
RADAR
THRS
MODELISATION
ROUGHNESS
CARTOGRAPHIE
VEGETATION
Classification
Synthetic aperture radar
Thesis
LiDAR
Sentinel-1
THEIA
Africa
Monitoring
TRAME VERTE ET BLEUE
TRAITEMENT DU SIGNAL
Soil water content
CLASSIFICATION
Brésil