Marouane Temimi

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Using microwave brightness temperature diurnal cycle to improve emissivity retrievals over land" (2012). a b s t r a c t a r t i c l e i n f o Keywords: Emissivity Brightness temperature Diurnal cycle Land Passive microwave Effective temperature Vegetation Soil moisture To retrieve microwave land emissivity, infrared surface skin temperatures have been used(More)
Microwave observations at low frequencies exhibit more sensitivity to surface and subsurface properties with little interference from the atmosphere. The objective of this study is to develop a global land emissivity product using passive microwave observations from the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) and to(More)
Satellite remote sensing observations have the potential for efficient and reliable mapping of spatial soil moisture distributions. However, soil moisture retrievals from microwave remote sensing techniques are typically complex due to inherent difficulty in characterizing the interactions among land surface parameters that contribute to the retrieval(More)
— The potential of a rating curve model for flood monitoring is examined using SSM/I passive microwave images and flow discharge data. Flooded areas are estimated by a linear combination of brightness temperatures measured by the SSM/I sensor in the 19, 37 and 85 GHz channels on each pixel at the reception of each new image. NOAA-AVHRR images are used to(More)
This work proposes a method for detecting inundation between semi-diurnal low and high water conditions in the northern Gulf of Mexico using high-resolution satellite imagery. Radarsat 1, Landsat imagery and aerial photography from the Apalachicola region in Florida were used to demonstrate and validate the algorithm. A change detection approach was(More)
This study addresses the issue of the variability and heterogeneity problems that are expected from a sensor with a larger footprint having homogenous and heterogeneous sub-pixels. Improved understanding of spatial variability of soil surface characteristics such as land cover and vegetation in larger footprint are critical in remote sensing based soil(More)
The proposed approach aims to estimate the flood extent and soil wetness using AMSR-E passive microwave data. The approach is applied over the Peace Athabasca Delta at the Mackenzie River Basin, which is situated in northwestern Canada. The methodology is based on the Polarization Ratio index (PR), which is computed using AMSR-E 37 GHz, vertically and(More)
— Information on ice cover extent over seas is crucial for ship navigation. Ice cover can also show interannual fluctuations and reflects climate variations. Ability of satellites to provide global observations at high temporal frequency has made them the primary tool for the ice cover monitoring. This study is a part of GOES-R Cryosphere application group(More)
A Multi-temporal Analysis of AMSR-E Data for Flood and Discharge Monitoring during the 2008 Flood in Iowa" (2011). CUNY Academic Works. Abstract: The objective of this work is to demonstrate the potential of using passive microwave data to monitor flood and discharge conditions and to infer watershed hydraulic and hydrologic parameters. The case study is(More)