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Bienvenue sur la collection HAL du réseau de télédétection INRAE
Le réseau consacré à la télédétection INRAE fédère tous les experts, producteurs, utilisateurs de données de télédétection à INRAE. Cette collection fait état des publications scientifiques du réseau présentes dans le portail HAL INRAE.
Dernières publications
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Anice Cheraïet, Aurélie Metay, Guilhem Brunel, Léo Garcia. Assessment of the complementarity between field observations and multispectral UAV imaging for optimized cover crop management in viticulture: Towards a comprehensive approach to the functioning of agroecological practices. 18th International Congress of the European Society of Agronomy, Sep 2024, Rennes, France. ⟨hal-04602203⟩
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Enzo Pelous, Nicolas Méger, Alexandre Benoit, Abdourrahmane Atto, Dino Ienco, et al.. Explaining the decisions and the functioning of a convolutional spatiotemporal land cover classifier with channel attention and redescription mining. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 215, pp.256-270. ⟨10.1016/j.isprsjprs.2024.06.021⟩. ⟨hal-04650672⟩
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Nikola Besic, Sylvie Durrieu, Anouk Schleich, Cédric Vega. Using structural class pairing to address the spatial mismatch between GEDI measurements and NFI plots. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, pp.1-14. ⟨10.1109/jstars.2024.3425431⟩. ⟨hal-04651918⟩
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Martina Pastorino, Gabriele Moser, Fabien Guerra, Sebastiano B Serpico, Josiane Zerubia. A multiresolution fusion framework based on probabilistic graphical modeling for burnt zones mapping from satellite and UAV imagery. IEEE IGARSS 2024 - International Geoscience and Remote Sensing Symposium, IEEE, Jul 2024, Athenes, Greece. ⟨hal-04584685⟩
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Ange Haddjeri, Matthieu Baron, Matthieu Lafaysse, Louis Le Toumelin, César Deschamps-Berger, et al.. Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution. The Cryosphere, 2024, 18 (7), pp.3081-3116. ⟨10.5194/tc-18-3081-2024⟩. ⟨hal-04634649⟩
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Références
1 896
Texte intégral
2 125
Open Access
59 %
Mots-clés
NOAA-AVHRR
SMAP
Deep learning
Sentinel-2
Soil moisture
Forest structure
Planetary systems
L-band
Thesis
LAI
MODIS
Irrigation
Hyperspectral
Remote Sensing
Modeling
LCT
VEGETATION
Geomorphology
SPOT
Satellite imagery
Landsat
Machine learning
Satellites
Biodiversity
Hydrology
Phenology
Techniques high angular resolution
Rainfall
LIDAR
Precipitation
Radar
Agriculture
Classification
Time series
Data fusion
HUMIDITE DU SOL
Wheat
DART
Radiative transfer
Vegetation optical depth
Change detection
CEMAGREF
Synthetic aperture radar
Satellite image time series
DEM
Lidar
GIS
NDVI
FRANCE
Forest inventory
UAV
SAR
Forest
SMOS
BIOMASS
RADAR
Cartographie
MNT
CARTOGRAPHIE
Remote sensing
SURVEILLANCE
TERRASAR-X
Sentinel-1
Thèse
LiDAR
GEDI
Modelling
Data assimilation
Humidité du sol
Télédétection
Evapotranspiration
REMOTE SENSING
French Guiana
CEMAGREF TDMO
Aboveground biomass
Snow
MODELISATION
IMAGE SATELLITE
Vegetation
ENGREF
Climate change
GPS
Drone
Planets and satellites detection
Random forest
Astrophysics - Earth and Planetary Astrophysics
Drought
Satellite
Biomass
Modélisation
Tropical forest
SYNTHETIC APERTURE RADAR
Donnée satellite
Monitoring
Topography
Forêt
FORET
TELEDETECTION
Leaf area index
Validation
Carte des collaborations