Integration of ground-penetrating radar data, global positioning systems, and geographic information systems to create three-dimensional soil models

2002 ◽  
Author(s):  
M. Tischler ◽  
Mary E. Collins ◽  
S. Grunwald
2021 ◽  
Vol 35 (1) ◽  
pp. 33-50
Author(s):  
Dara V. Chan ◽  
Mann Adam ◽  
Gopal Sucharita

BackgroundThe International Classification of Functioning, Disability, and Health includes important considerations of environmental context in understanding disability, but the environmental impact is often difficult to measure.PurposeDemonstrates the use of Geographic Information Systems (GIS) and Global Positioning Systems (GPS) in rehabilitation research in assessing accessibility and participation; describes how to use these methods, and presents several considerations in using GIS and GPS in research.MethodUsing methods from public health and medical geography, this article describes how to apply GIS and GPS technologies to rehabilitation research to measure community participation and accessibility to resources.FindingsDirections for using ArcGIS functions and case examples joining these mapping technologies with rehabilitation measures are provided.ConclusionsTogether with traditional measures, these technologies may provide rehabilitation researchers a more comprehensive approach to assessing accessibility and participation.


2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Michael T. Gebreslasie

Spatial technologies, <em>i.e.</em> geographic information systems, remote sensing, and global positioning systems, offer an opportunity for rapid assessment of malaria endemic areas. These technologies coupled with prevalence/incidence data can provide reliable estimates of population at risk, predict disease distributions in areas that lack baseline data and provide guidance for intervention strategies, so that scarce resources can be allocated in a cost-effective manner. This review focuses on the spatial technology applications that have been used in epidemiology and control of malaria in Africa. Peer-reviewed papers identified through a PubMed search using the following keywords: <em>geospatial technology</em> OR <em>Geographic Information Systems</em> OR <em>Remote Sensing</em> OR <em>Earth Observation</em> OR <em>Global Positioning Systems</em> OR <em>geospatial modelling</em> OR <em>malaria incidence</em> OR <em>malaria prevalence</em> OR <em>malaria risk prediction</em> OR <em>malaria mapping</em> AND <em>malaria</em> AND <em>Africa</em> were used. These included mapping malaria incidence and prevalence, assessing the relationship between malaria and environmental variables as well as applications for malaria early warning systems. The potential of new spatial technology applications utilising emerging satellite information, as they hold promise to further enhance infectious risk mapping and disease prediction, are outlined. We stress current research needs to overcome some of the remaining challenges of spatial technology applications for malaria so that further and sustainable progress can be made to control and eliminate this disease.


2003 ◽  
Vol 30 (3) ◽  
pp. 533-542 ◽  
Author(s):  
Osama Moselhi ◽  
Ahmed Hassanein

Earthmoving operations represent a sizeable percentage of highway construction costs. Accurate estimation of cut and fill quantities, as well as haul distances, are thus essential for developing realistic schedules and reliable cost estimates for highway construction projects. This paper presents a model designed to aid highway construction personnel in optimizing earthmoving operations by developing realistic mass haul diagrams. The model automates data acquisition and accounts for the presence of different soil strata and natural and (or) man-made obstructions affecting earthmoving plans. Geographic information systems (GIS) are employed to generate three-dimensional digital terrain models of the topography and soil profiles. The model is supported by a relational database for soil data and has been implemented in a prototype software developed in ArcView® environment. It provides a user-friendly interface to facilitate data entry and efficient reporting capabilities. The model has flexible input and output formats designed to facilitate data sharing with a number of commercially available software systems. A numerical example is presented to demonstrate the features of the developed model.Key words: data acquisition, geographic information systems, quantity estimating, earthwork optimization.


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