The urban micro climate is important for the well-being of citizens. With simulation models the urban micro climate can be studied and recommendations can be made to improve the micro climatic situation. However, mainly synthetic scenarios are simulated due to a lack of information. The objective of this paper is to explore the potential of airborne hyperspectral and height data to provide area...

Web services have the potential to radically enhance the ability of researchers to make use of distributed computing resources, but jargon and a plethora of standards make their use almost impossible for the scientist who has no prior experience of the necessary technologies. A powerful and simple WSRFbased middleware scheme is presented, designed to let scientists remotely deploy single or mul...

The hybrid visualization and interaction tool EarthScape is presented here. The software is able to display simultaneously LiDAR point clouds, draped videos with moving footprint, volume scientific data (using volume rendering, isosurface and slice plane), raster data such as still satellite images, vector data and 3D models such as buildings or vehicles. The application runs on touch screen de...

A clinical trial is a study designed to demonstrate the efficacy and safety of a drug, procedure, medical device, or diagnostic test. Since clinical trials involve research in humans, they must be carefully designed and must comply strictly with a set of ethical conditions. Logistical disadvantages, ethical constraints, costs and high execution times could have a negative impact on the executio...

The most widely known remote-sensing data are satellite images (typically LANDSAT or other visible imagery), which are used in the geosciences for a multitude of applications, including landuse, urbanization, sea-ice expansion, to name only a few. Commonly, these remote-sensing data are analyzed with the help of commercial software systems (eg. ENVI, ERDAS-IMAGINE). Analysis methods employ the ...

Participatory sensing is a promising new low-cost approach for collecting environmental data. However, current large-scale environmental participatory sensing campaigns typically do not coordinate the measurements of participants, which can lead to gaps or redundancy in the collected data. While some work has considered this problem, it has made several unrealistic assumptions. In particular, i...

Based on the five-phase Landsat TM/ETM remote sensing image data, images were processed and landscape pattern indices calculated with help of ENVI FRAGSTATS software, respectively. Jian’ou city, a large agricultural city in northern Fujian Province, was used as county-scale study case to explore its changes during 20-year period from 1995 2015. The results show that development intensity increa...

The energy balance of residential blocks in different climate zones is simulated and analysed. influence characteristics on the residential-scale budget clarified, temporal evolution patterns sensible heat flux, latent flux storage surface are obtained. From perspective distribution, ENVI-met simulation software used to explore laws change scale during summer winter three representative cities ...

Alzheimer’s disease (AD) is considered a slow neuronal dysfunction process through hypoxia, ischemia and leads to apoptosis mediated senile plaques and neurofibrillary tangles (NFTs). Due to non-invasive approach of plaque characterization, computational techniques based on Brownian dynamics simulation are unique to speculate the electrostatic and kinetic properties of Acetylcholinesterase (ACh...

This paper presents the design and implementation of a cyberinfrastructure for End-to-End Environmental Exploration (C4E4). The C4E4 framework addresses the need for an integrated data/computation platform for studying broad environmental impacts by combining heterogeneous data resources with state-of-the-art modeling and visualization tools. With Purdue being a TeraGrid Resource Provider, C4E4...