His primary scientific interests are in Remote sensing, Water content, Satellite, Meteorology and Radiometry. Many of his research projects under Remote sensing are closely connected to Scale with Scale, tying the diverse disciplines of science together. His biological study spans a wide range of topics, including Moderate-resolution imaging spectroradiometer, Correlation coefficient, Data assimilation and Brightness temperature.
His research in Satellite focuses on subjects like Moisture, which are connected to Time series, Scatterometer, Collocation and Climatology. His research in Meteorology intersects with topics in Retrieval algorithm and Latitude. His Radiometry research incorporates elements of Emissivity, Ground segment and Ocean chemistry.
His primary areas of investigation include Remote sensing, Water content, Satellite, Meteorology and L band. In general Remote sensing study, his work on Radiometer often relates to the realm of Scale, thereby connecting several areas of interest. His study in Water content is interdisciplinary in nature, drawing from both Soil science, Atmospheric sciences, Normalized Difference Vegetation Index and Brightness temperature.
His Satellite study integrates concerns from other disciplines, such as Image resolution, Salinity, Correlation coefficient and Physical oceanography. His Latent heat and Urban heat island study in the realm of Meteorology connects with subjects such as Heat flux and Energy budget. His L band research is multidisciplinary, relying on both Albedo and Scattering.
Ahmad Al Bitar focuses on Remote sensing, Water content, L band, Soil water and Precipitation. His work on Synthetic aperture radar is typically connected to Scale as part of general Remote sensing study, connecting several disciplines of science. His research investigates the connection between Water content and topics such as Remote sensing that intersect with problems in Data products and Plot.
In his research on the topic of L band, Satellite, Aperture synthesis, Native resolution and Salinity is strongly related with Radiometer. He interconnects Moisture, Surface runoff, Crop and Vegetation cover in the investigation of issues within Soil water. His Precipitation study also includes fields such as
His primary areas of study are Remote sensing, Water content, Cover crop, Hydrology and Wetland. His primary area of study in Remote sensing is in the field of Soil moisture remote sensing. Ahmad Al Bitar performs multidisciplinary study on Water content and Ranging in his works.
The various areas that Ahmad Al Bitar examines in his Cover crop study include Synthetic aperture radar, Soil carbon, Radar imaging and Leaf area index. His work on Floodplain and Watershed as part of general Hydrology research is frequently linked to Amazonian and Land cover, bridging the gap between disciplines. His Image resolution research includes themes of Salinity, Radiometer, Soil water, L band and Satellite.
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The SMOS Soil Moisture Retrieval Algorithm
Y. H. Kerr;P. Waldteufel;P. Richaume;J. P. Wigneron.
IEEE Transactions on Geoscience and Remote Sensing (2012)
Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-Band SMOS SMAP Soil Moisture Retrieval Algorithms
J.-P. Wigneron;T.J. Jackson;P. O'Neill;G. De Lannoy.
Remote Sensing of Environment (2017)
Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network
Ahmad Al Bitar;D. Leroux;Y. H. Kerr;O. Merlin.
IEEE Transactions on Geoscience and Remote Sensing (2012)
Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation
Yann H. Kerr;A. Al-Yaari;N. Rodriguez-Fernandez;M. Parrens.
Remote Sensing of Environment (2016)
Disaggregation of SMOS Soil Moisture in Southeastern Australia
O. Merlin;C. Rudiger;Ahmad Al Bitar;P. Richaume.
IEEE Transactions on Geoscience and Remote Sensing (2012)
Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates
A. Al-Yaari;A. Al-Yaari;J.-P. Wigneron;A. Ducharne;Y. Kerr.
Remote Sensing of Environment (2014)
Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data
Marjorie Battude;Ahmad Al Bitar;David Morin;Jérôme Cros.
Remote Sensing of Environment (2016)
Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain
Olivier Merlin;Maria José Escorihuela;Miquel Aran Mayoral;Olivier Hagolle.
Remote Sensing of Environment (2013)
SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
Roberto Fernandez-Moran;Amen Al-Yaari;Arnaud Mialon;Ali Mahmoodi.
Remote Sensing (2017)
SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia
H. Lievens;S.K. Tomer;A. Al Bitar;G.J.M. De Lannoy.
Remote Sensing of Environment (2015)
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