NB
nicolas baghdadi
Research areas: Environmental Science · Environmental Engineering · Synthetic Aperture Radar (SAR) Applications and Techniques · Soil Moisture and Remote Sensing · Remote Sensing in Agriculture
0000-0002-9461-4120
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Publications (99)
- Temporal behavior of major crops with SWOT Ka-band SAR observations Save
- Machine learning-based mapping of soil organic carbon in agricultural bare soils at the watershed scale using Sentinel-2 time series, soil moisture and laboratory spectra Save
- A framework for assessing multi-hazard risk dynamics: application to South African maize production Save
- Assessing the impact of polarization on soil moisture retrieval using C-band SAR data across diverse crop structures Save
- Observing irrigation using SWOT SAR Ka-band data from daily calibration and validation acquisitions Save
- Use of Surface Water and Ocean Topography (SWOT) observations to support Land Use/Land Cover (LULC) change products: the case of the pacific coast of Ecuador Save
- Water Resources in South of Iraq: Current State, Future Evolutions, Challenges, and Potential Solutions Save
- Multi-Band, Multi-GNSS Polarimetric GNSS-R Observations From SCOMAG Airborne Campaign Save
- Rapeseed mapping using machine learning methods and Sentinel-1 time series coupled with growing degree-days information Save
- Exploring Forest Vertical Structure With TomoSense: GEDI and SAR Tomography Insights Save
- Use of GEDI Signal and Environmental Parameters to Improve Canopy Height Estimation over Tropical Forest Ecosystems in Mayotte Island Save
- Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images Save
- Incidence Angle Normalization of C-Band Radar Backscattering Coefficient over Agricultural Surfaces Using Dynamic Cosine Method Save
- Effects of Eucalyptus plantation characteristics and environmental factors on GEDI waveform metrics Save
- Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms Save
- Detection and Mapping of Cover Crops Using Sentinel-1 SAR Remote Sensing Data Save
- Retrieving Soil Moisture from Sentinel-1: Limitations over Certain Crops and Sensitivity to the First Soil Thin Layer Save
- Generating Virtual Training Labels for Crop Classification from Fused Sentinel-1 and Sentinel-2 Time Series Save
- Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA Save
- Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets Save