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Bienvenue sur la collection HAL de l'UMR TETIS
Dernières publications
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Houssem Braiki, Guillaume Lestrelin, Sylvie Morardet, Soumaya Younsi, Emeline Hassenforder, et al.. Territorial facilitator, a profession to be developed and defended: A Tunisian experience. Transformative Participation for Socio-Ecological Sustainability - Around the CoOPLAGE pathways, QUAE, pp.62-68, 2024, Update Sciences & technologies, 9782759239214. ⟨10.35690/978-2-7592-3920-7⟩. ⟨hal-04558913⟩
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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⟩
Références
1 411
Texte intégral
1 280
Open Access
52 %
Mots-clés
Biodiversity
Climate change
Text mining
Lidar
Cartography
Radar
Télédétection
SAR
IMAGE SATELLITAIRE
Vegetation
Madagascar
Corpus
LiDAR
SIG
LAI
France
BIOMASS
GEDI
ILE DE LA REUNION
Modélisation
REMOTE SENSING
VEGETATION
Fouille de données
GOUVERNANCE
UML
Brésil
IMAGERIE
LIDAR
BIOMASSE
THEIA
BASSIN DE THAU
BIODIVERSITE
Food security
Gouvernance
TRAME VERTE ET BLEUE
Thèse
DART
Remote sensing
Territoire
Politique publique
TUNISIE
Deep learning
Modelling
Agriculture
Natural language processing
SURVEILLANCE
Cartographie
EUROPE
SIMULATION
Forest
CLASSIFICATION
SYNTHETIC APERTURE RADAR
RADAR A SYNTHESE D'OUVERTURE
Africa
RADAR
AGRICULTURE
C-band
Monitoring
HUMIDITE DU SOL
AIDE A LA DECISION
GUYANE FRANCAISE
FRANCE
Data mining
LANGUEDOC ROUSSILLON
Soil moisture
SYSTEME D'INFORMATION GEOGRAPHIQUE
Soil water content
GEOSUD
DTM
THRS
MODIS
TERRASAR-X
TRAITEMENT DU SIGNAL
Irrigation
CARTOGRAPHIE
SOIL MOISTURE
Thesis
TELEDETECTION
IMAGE SATELLITE
RUGOSITE
Biomass
Satellite image time series
FORET
Text Mining
ROUGHNESS
Machine learning
Sentinel-2
NDVI
Synthetic aperture radar
SENTINEL-2
HYDROLOGIE
SENTINEL-1
AMENAGEMENT DU TERRITOIRE
Classification
ANALYSE DE DONNEES
LIBAN
TRES HAUTE RESOLUTION SPATIALE
MODELISATION
Sentinel-1
MNT