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Epidemiological studies of the health effects of air pollution require estimation of individual exposure. It is not possible to obtain measurements at all relevant locations so it is necessary to pred...
Health is socio-demographic construct of population. In an urban area social, economic and political systems simultaneously operate within a geographically defined space in which the urban dwellers ac...
In this study grey-level co-occurrence matrix (GLCM) textures and a local statistical analysis Getis statistic (Gi), computed from IKONOS multispectral (MS) imagery acquired from the Yellow River Delt...
The opportunity of an emerging smart city in post-disaster Christchurch has been explored as a way to improve the quality of life of people suffering Chronic Obstructive Pulmonary Disease (COPD), whic...
This project applies machine learning techniques to remotely sensed imagery to train and validate predictive models of vegetation health in Bangladesh and Sri Lanka. For both locations, we downloaded ...
The paper describes the performance of the Dust Regional Atmospheric Model (DREAM) after being nested within the National Centers for Environmental Prediction (NCEP/eta) operational weather model. The...
Today as diseases grow rapidly, the responsibilities of the health clinics in giving services to patients increase and patients have to be more monitored and controlled. Remote systems of monitoring p...
Satellite captures and then transmits remotely sensed image to the earth station, which is further sent to the processing station. At processing station, it undergoes various types of geometric/radiom...
This paper addresses impedance mismatch problems, which occur when two information systems are plugged for workingtogether. Such problems are particularly crucial for environmental health, where busin...
Climate change has a major influence on forest health and growth, by indirectly affecting the distribution and abundance of forest pathogens, as well as the severity of tree diseases. Temperature rise...
Delivering data and information in a timely and efficient manner is imperative for providing decision makers crucial information that could impact the well-being of humans, especially in the event of...
There are several reasons why public health communities do not use information from Earth observations routinely. Most notable among them are: (1) they need science results that verify, validate, and...
Satellite remote sensing for disease surveillance will play a major role in public health in the coming years. Although the ability to predict epidemic outbreaks is still limited by current research ...
Accurate studies of cultural heritage structures usually require the application of combined techniques to understand its structural behaviour. It is in this context, where the article present a set o...
Mangrove ecosystem plays a crucial role in costal conservation and provides livelihood supports to humans. It is seriously affected by the various climatic and anthropogenic induced changes. The conti...

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