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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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Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Henrique Ferraco Scolforo, Clayton Alcarde Alvares, Jose Luiz Stape, et al.. Integration of very high-resolution stereo satellite images and airborne or satellite Lidar for Eucalyptus canopy height estimation. Science of Remote Sensing, 2024, 10, pp.100170. ⟨10.1016/j.srs.2024.100170⟩. ⟨hal-04746433⟩
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Martina Pastorino, Gabriele Moser, Fabien Guerra, Sebastiano B. Serpico, Josiane Zerubia. Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification. ICPR 2024 – 27th International Conference on Pattern Recognition, Dec 2024, Kolkata, India. ⟨hal-04678650⟩
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Lívia Lanzi Aló, Guerric Le Maire, Cláudio Roberto Thiersch, Thiago Santos Mota, Rafael Costa Pinheiro, et al.. Mapping stem volume in fast-growing eucalypt plantations: integrating spectral, textural, and temporal remote sensing information with forest inventories and spatial models. Annals of Forest Science, 2024, 81, pp.43. ⟨10.1186/s13595-024-01255-6⟩. ⟨hal-04746465⟩
Références
1 893
Texte intégral
2 249
Open Access
61 %
Mots-clés
Validation
Precipitation
L-band
Synthetic aperture radar
CEMAGREF TDMO
Data fusion
Monitoring
Data assimilation
Tropical forest
Vegetation
Climate change
Forêt
Radiative transfer
Lidar
GIS
LAI
CEMAGREF
Radar
Planets and satellites detection
FRANCE
Thèse
Modelling
Techniques high angular resolution
SAR
NDVI
HUMIDITE DU SOL
Phenology
BIOMASS
RADAR
Donnée satellite
MODELISATION
TELEDETECTION
Deep Learning
Deep learning
Astrophysics - Earth and Planetary Astrophysics
LCT
Landsat
Classification
Forest structure
SPOT
Hydrology
Geomorphology
Aboveground biomass
Satellite imagery
Change detection
FORET
LiDAR
DEM
SMOS
MNT
TERRASAR-X
CARTOGRAPHIE
SMAP
Forest
French Guiana
Thesis
IMAGE SATELLITE
Forest inventory
MODIS
NOAA-AVHRR
Vegetation optical depth
Wheat
VEGETATION
Biodiversity
GEDI
Drought
SYNTHETIC APERTURE RADAR
GPS
Humidité du sol
Remote sensing
Télédétection
LIDAR
Topography
Evapotranspiration
UAV
Modeling
REMOTE SENSING
Biomass
Sentinel-2
Planetary systems
Remote Sensing
Leaf area index
Machine learning
DART
Soil moisture
ENGREF
Irrigation
Satellite
Modélisation
Rainfall
Satellite image time series
Agriculture
Hyperspectral
Cartographie
Snow
Random forest
Time series
Sentinel-1
Drone
Satellites
Carte des collaborations