The virtual globe environment provides a freely available and easily navigated viewer and enables quick integration of the lidar visualizations with imagery, geographic layers, and other relevant data available in KML format. These files display full-resolution images derived from lidar in the Google Earth virtual globe. Google Earth provides an excellent platform to deliver lidar-derived visualizations for research, education, and outreach purposes. OpenTopography aims to democratize access to high-resolution topographic data in a manner that serves users with varied expertise, application domains, and computing resources. Furthermore, the data can be technically challenging to work with, requiring software and computing resources not readily available to many users. However, because of the large volumes of data produced by high-resolution mapping technologies such as lidar, it is often difficult to distribute these datasets. Because of the richness of these data sets, they are often extremely valuable beyond the application that drove their acquisition and thus are of interest to a large and varied user community. Over the past decade, there has been dramatic growth in the acquisition of publicly funded high-resolution topographic and bathymetric data for scientific, environmental, engineering and planning purposes. OpenTopography was initially developed as a proof of concept cyberinfrastructure in the Earth sciences project as part of the NSF Information and Technology Research (ITR) program-funded Geoscience Network (GEON) project. The OpenTopography Facility is based at the San Diego Supercomputer Center at the University of California, San Diego and is operated in collaboration with colleagues in the School of Earth and Space Exploration at Arizona State University and at UNAVCO.Ĭore operational support for OpenTopography comes from the Geoinformatics and the Geomorphology and Land Use Dynamics programs in the Division of Earth Sciences at the National Science Foundation. Foster interaction and knowledge exchange in the Earth science lidar user community.Provide professional training and expert guidance in data management, processing, and analysis.Partner with public domain data holders to leverage OpenTopography infrastructure for data discovery, hosting and processing.Promote discovery of data and software tools through community populated metadata catalogs.Harness cutting edge cyberinfrastructure to provide Web service-based data access, processing, and analysis capabilities that are scalable, extensible, and innovative.Democratize online access to high-resolution (meter to sub-meter scale), Earth science-oriented, topography data acquired with lidar and other technologies.The mission of the OpenTopography Facility is to: Let us know how this access is important for you.OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources. Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Finally, to validate its deployability and efficacy, SociTrack is used by early childhood development researchers to capture caregiver-infant interactions. SociTrack leverages an energy-efficient and scalable ranging protocol that is accurate to 14.8 cm (99th percentile) in complex indoor environments and allows our prototype to operate for 12 days on a 2000 mAh battery. The key insight that enables both deployability and fidelity in one system is to decouple node mobility and network management from range measurement, which results in a novel dual-radio architecture. Deployments require no supporting infrastructure and provide sub-second, decimeter-accurate ranging information over multiple days. We introduce SociTrack, a platform for autonomous social interaction tracking via wireless distance measurements. Historically, systems measuring interactions have been forced to choose between deployability and measurement fidelity-they operate only in instrumented spaces, under line-of-sight conditions, or provide coarse-grained proximity data. Social scientists, psychologists, and epidemiologists use empirical human interaction data to research human behaviour, social bonding, and disease spread.
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