Marouane Temimi

Learn 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)
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)
Remote sensing provides an effective tool for timely oil pollution response. In this paper, the spectral signature in the optical and infrared domains of oil slicks observed in shallow coastal waters of the Arabian Gulf was investigated with MODIS, MERIS, and Landsat data. Images of the Floating Algae Index (FAI) and estimates of sea currents from(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)
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)
Climate change affects air and land surface temperatures with implications for climate sensitive human and animal diseases (Patz et al., 2008). In highland areas, East Africa and Latin America for example, changes in land surface and air temperatures will impact on the spatial distribution of risk for vector-borne disease. Heat waves in urban areas have(More)