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BACKGROUND Severe heat-related illness can result in hospitalisation and possibly death. These illnesses are potentially preventable; in Australia high environmental temperatures are common. AIMS To identify (i) possible risk factors for hospital attendance with heat-related illness during a heat wave, (ii) problems with diagnosis and therapy, (iii)(More)
There is great potential for the development of remote sensing methods that integrate and exploit both multispectral and multitemporal information. This paper presents a new image processing method: Spectral–Temporal Analysis by Response Surface (STARS), which synthesizes the full information content of a multitemporal–multispectral remote sensing image(More)
Chile has more than half of the temperate forests in the southern hemisphere. These have been included among the most threatened eco-regions in the world, because of the high degree of endemism and presence of monotypic genera. In this study, we develop empirical models to investigate present and future spatial patterns of woody species richness in(More)
Ingestion of seeds of the castor oil plant is rare, and may cause toxicity but rarely death. The presumed toxic component is ricin, a highly potent cellular poison. We report the case of a young adult who ingested a large number of the seeds, causing initial toxicity, but with subsequent full recovery. The management of such ingestions and the apparent(More)
This paper presents a review of object-based image classification, outlining recent developments, assessing current capabilities and signposting future implications. Object-based classification methods are described, outlining advantages over other forms of classification, and limitations in the object-based approach. Examples are provided from the UK,(More)
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This paper describes the basis functioning and implementation of a computer-aided Bayesian Network (BN) method that is able to incorporate experts’ knowledge for the benefit of remote sensing applications and other raster data analyses: Bayesian Network for Raster Data (BayNeRD). Using a case study of soybean mapping in Mato Grosso State, Brazil, BayNeRD(More)
Detailed land cover information is valuable for mapping complex urban environments. Recent enhancements to satellite sensor technology promise fit-for-purpose data, particularly when processed using contemporary classification approaches. We evaluate this promise by comparing the influence of spatial resolution, spectral band set and classification approach(More)
Much ecological analysis requires detailed spatial observation, traditionally conducted through field measurement. Remote sensing has been tested extensively as a means of ecological investigation, but many such studies were limited by the relatively coarse spatial resolution of the imagery used. The new generation of fine spatial resolution satellite(More)
In 1986, the Government of Vietnam implemented free market reforms known as Doi Moi (renovation) that provided private ownership of farms and companies, and encouraged deregulation and foreign investment. Since then, the economy of Vietnam has achieved rapid growth in agricultural and industrial production, construction and housing, and exports and foreign(More)