Hagolle, O.
* 2002: Interband calibration over clouds for POLDER space sensor
* 2011: Geolocation Assessment of MERIS GlobCover Orthorectified Products
* 2011: Low and high spatial resolution time series fusion for improved land cover map production
* 2014: Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data
* 2014: Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco, A
* 2015: Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
* 2015: Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
* 2015: Evaluation of Medium Spatial Resolution BRDF-Adjustment Techniques Using Multi-Angular SPOT4 (Take5) Acquisitions
* 2015: Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements, A
* 2015: Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images
* 2015: Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series
* 2015: Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENµS and Sentinel-2 Images, A
* 2015: SPOT-4 (Take 5): Simulation of Sentinel-2 Time Series on 45 Large Sites
* 2015: Validation of a Forage Production Index (FPI) Derived from MODIS fCover Time-Series Using High-Resolution Satellite Imagery: Methodology, Results and Opportunities
* 2016: Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions
* 2016: Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data, A
* 2017: Atmospheric Correction of Multi-Spectral Littoral Images Using a PHOTONS/AERONET-Based Regional Aerosol Model
* 2017: Using Copernicus Atmosphere Monitoring Service Products to Constrain the Aerosol Type in the Atmospheric Correction Processor MAJA
* 2018: Atmospheric Correction Inter-Comparison Exercise
* 2019: Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure
* 2020: Estimating Fractional Snow Cover in Open Terrain from Sentinel-2 Using the Normalized Difference Snow Index
* 2020: Evaluation of Methods for Mapping the Snow Cover Area at High Spatio-Temporal Resolution with VENµS
* 2021: Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties?
* 2021: Comment on Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest
* 2022: Assessment of the Usefulness of Spectral Bands for the Next Generation of Sentinel-2 Satellites by Reconstruction of Missing Bands
* 2022: VENmuS: Mission Characteristics, Final Evaluation of the First Phase and Data Production
* 2023: Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates
Includes: Hagolle, O. Hagolle, O.[Olivier]
27 for Hagolle, O.
Hagos, D.H.[Desta Haileselassie]
* 2022: Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
Hagos, M.T.[Misgina Tsighe]
* 2023: FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks