Ibrahim Fayad
Orcid: 0000-0001-7504-5623
According to our database1,
Ibrahim Fayad
authored at least 47 papers
between 2014 and 2024.
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Bibliography
2024
Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution.
CoRR, 2024
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Proceedings of the IGARSS 2024, 2024
Temperate forest vertical structure with spaceborne GEDI and SAR Tomography: TomoSense case.
Proceedings of the IGARSS 2024, 2024
Integrating Multi-Source Satellite Data and Environmental Information in a U-Net Architecture for Canopy Height Mapping in French Guiana.
Proceedings of the IGARSS 2024, 2024
Investigating the Influence of GEDI Vegetation Penetration on Canopy Height Estimation.
Proceedings of the IGARSS 2024, 2024
2023
FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach.
Dataset, May, 2023
Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests.
Remote. Sens., March, 2023
Remote. Sens., February, 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests.
Remote. Sens., December, 2022
Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process.
Remote. Sens., 2022
An Assessment of the GEDI Lasers' Capabilities in Detecting Canopy Tops and Their Penetration in a Densely Vegetated, Tropical Area.
Remote. Sens., 2022
Comparative Analysis of GEDI's Elevation Accuracy from the First and Second Data Product Releases over Inland Waterbodies.
Remote. Sens., 2022
Remote. Sens., 2022
Tropical Forest Vertical Structure Characterization: From GEDI to P-Band SAR Tomography.
IEEE Geosci. Remote. Sens. Lett., 2022
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Analysis of Gedi's Elevation Accuracy from the First and Second Data Product Releases Over Inland Waterbodies.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Assessment of GEDI's LiDAR Data for the Estimation of Canopy Heights and Wood Volume of Eucalyptus Plantations in Brazil.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Evaluation of the Performances of Radar and Lidar Altimetry Missions for Water Level Retrievals in Mountainous Environment: The Case of the Swiss Lakes.
Remote. Sens., 2021
Quality Assessment of Acquired GEDI Waveforms: Case Study over France, Tunisia and French Guiana.
Remote. Sens., 2021
Remote. Sens., 2021
An Operational Framework for Mapping Irrigated Areas at Plot Scale Using Sentinel-1 and Sentinel-2 Data.
Remote. Sens., 2021
Estimating Canopy Height and Wood Volume of Eucalyptus Plantations in Brazil Using GEDI LiDAR Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Sarcopenia negatively affects hip structure analysis variables in a group of Lebanese postmenopausal women.
BMC Bioinform., March, 2020
Remote. Sens., 2020
Remote. Sens., 2020
Remote. Sens., 2020
Irrigation Events Detection over Intensively Irrigated Grassland Plots Using Sentinel-1 Data.
Remote. Sens., 2020
2019
First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields.
Remote. Sens., 2019
2018
Sarcopenia and Hip Structure Analysis Variables in a Group of Lebanese Postmenopausal Women.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
2017
Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas.
Remote. Sens., 2017
Integration of spaceborne lidar data to improve the forest biomass map in madagascar.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana.
Remote. Sens., 2016
Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Capability of GLAS/ICESat Data to Estimate Forest Canopy Height and Volume in Mountainous Forests of Iran.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR data: Application on French Guiana.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions.
Remote. Sens., 2014
Coupling potential of ICESat/GLAS and SRTM for the discrimination of forest landscape types in French Guiana.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Estimation of forest height and above ground biomass from ICESat/GLAS data in Eucalyptus plantations in Brazil.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014