Tim J. Bellerby

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Oil spills represent a major threat to ocean ecosystems and their health. Illicit pollution requires continuous monitoring and satellite remote sensing technology represents an attractive option for operational oil spill detection. Previous studies have shown that active microwave satellite sensors, particularly Synthetic Aperture Radar (SAR) can be(More)
A technique is presented to separate uncontaminated land and sea brightness temperatures from mixed coastal pixels in 37-GHz vertically polarized passive microwave data from the Special Sensor Microwave Imager (SSM/I) instrument. Combining a mathematical model of the instrument response over several neighboring footprints with a GIS representation of the(More)
BACKGROUND Children and mothers who have suffered domestic or neighbourhood violence constitute a high risk group, although it has not been clear whether their mental health needs are specifically related to the type of violence. This paper reports on the prevalence of mental health problems in homeless parents and children who have experienced domestic and(More)
AIMS To describe the characteristics of homeless children and families seen by the mental health outreach service (MHOS), to evaluate the impact of this service on the short term psychosocial functioning of children and parents, and to establish perceptions of, and satisfaction with, the service. METHODS Twenty seven children from 23 families who were in(More)
Short-term high-resolution precipitation forecasting has important implications for navigation, flood forecasting, and other hydrological and meteorological concerns. This article introduces a pixel-based algorithm for Short-term Quantitative Precipitation Forecasting (SQPF) using radar-based rainfall data. The proposed algorithm called PixelBased(More)
Previous approaches to the estimation of ocean surface windspeeds from passive microwave data have been incapable of providing information within 100 km of a coastline due to land contamination in pixel footprints. This paper describes the application of a brightness–temperature separation method to the computation of special sensor microwave imager(More)
This paper describes a new high-resolution multi-platform multi-sensor satellite rainfall product for Southern Africa covering the period 1993-2002. The Microwave Infra-Red Algorithm (MIRA) employed to generate the rainfall estimates combines high spatial and temporal resolution Meteosat infrared data with infrequent Special Sensor Microwave Imager (SSM/I)(More)
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