N
Nicolas Baghdadi
Researcher at University of Montpellier
Publications - 192
Citations - 6899
Nicolas Baghdadi is an academic researcher from University of Montpellier. The author has contributed to research in topics: Radar & Synthetic aperture radar. The author has an hindex of 43, co-authored 157 publications receiving 5090 citations. Previous affiliations of Nicolas Baghdadi include Agro ParisTech & Institut national de la recherche agronomique.
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Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
TL;DR: The main objective of the present paper is to develop an operational approach for soil moisture mapping in agricultural areas at a high spatial resolution over bare soils, as well as soils with vegetation cover, based on the synergic use of radar and optical data.
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Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution
TL;DR: Two methodologies for the retrieval of soil moisture from remotely-sensed SAR images, with a spatial resolution of 100 m, based on the interpretation of Sentinel-1 data recorded in the VV polarization, which is combined with Sentinel-2 optical data for the analysis of vegetation effects over a site in Urgell.
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Evaluation of C-band SAR data for wetlands mapping
TL;DR: In this paper, the authors examined the potential of polarimetric C-band Synthetic Aperture Radar (SAR) for mapping various wetland classes found in the Mer Bleue region (near Ottawa, Canada).
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Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France
TL;DR: A better understanding of the capabilities of Sentinel-1 radar images for agricultural land cover mapping through the use of deep learning techniques is provided and it is found that in the near future these RNN-based techniques will play an important role in the analysis of remote sensing time series.
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Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island
TL;DR: In this paper, the sensitivity of different radar parameters (wavelength, incidence angles, and polarization) to sugarcane growth stages was analyzed to determine the most suitable radar configuration for better characterisation of sugar cane fields.