TY - GEN
T1 - Opentopography
T2 - 2nd International Conference on Computing for Geospatial Research and Applications, COM.Geo 2011
AU - Krishnan, Sriram
AU - Crosby, Christopher
AU - Nandigam, Viswanath
AU - Phan, Minh
AU - Cowart, Charles
AU - Baru, Chaitanya
AU - Arrowsmith, Ramon
PY - 2011/7/13
Y1 - 2011/7/13
N2 - High-resolution topography data acquired with LIDAR (Light Detection and Ranging) remote sensing technology have emerged as a fundamental tool for Earth science research. Because these acquisitions are often undertaken with federal and state funds at significant cost, it is important to maximize the impact of these geospatial data by providing online access to a range of potential users. The National Science Foundation-funded OpenTopographyFacility hosted at the San Diego Supercomputer Center (SDSC), has developed a Geospatial Cyberinfrastructure (GCI) to enable onlineaccess to Earth science-oriented high-resolution LIDAR topography data, online processing tools, and derivative products. Leveraging high performance computational and data storage resources available at SDSC, OpenTopography provides access to terabytes of point cloud data, standard digital elevation models, and Google Earth image data, all co-located with computational resources for higherlevel data processing. This paper describes the motivation, goals, and the technical details of the Services Oriented Architecture (SOA) and underlying cyberinfrastructure platform implemented by OpenTopography. The use of an SOA, and the co-location of processing and data resources are unique to the field of LIDAR topography data processing, and lays a foundation for providing anopen system for hosting and providing access to data and computational tools for these important scientific data, and is an exemplar for similar large geospatial data and processing communityoriented cyberinfrastructure systems.
AB - High-resolution topography data acquired with LIDAR (Light Detection and Ranging) remote sensing technology have emerged as a fundamental tool for Earth science research. Because these acquisitions are often undertaken with federal and state funds at significant cost, it is important to maximize the impact of these geospatial data by providing online access to a range of potential users. The National Science Foundation-funded OpenTopographyFacility hosted at the San Diego Supercomputer Center (SDSC), has developed a Geospatial Cyberinfrastructure (GCI) to enable onlineaccess to Earth science-oriented high-resolution LIDAR topography data, online processing tools, and derivative products. Leveraging high performance computational and data storage resources available at SDSC, OpenTopography provides access to terabytes of point cloud data, standard digital elevation models, and Google Earth image data, all co-located with computational resources for higherlevel data processing. This paper describes the motivation, goals, and the technical details of the Services Oriented Architecture (SOA) and underlying cyberinfrastructure platform implemented by OpenTopography. The use of an SOA, and the co-location of processing and data resources are unique to the field of LIDAR topography data processing, and lays a foundation for providing anopen system for hosting and providing access to data and computational tools for these important scientific data, and is an exemplar for similar large geospatial data and processing communityoriented cyberinfrastructure systems.
KW - Cyberinfrastructure
KW - LIDAR
KW - SOA
UR - http://www.scopus.com/inward/record.url?scp=79960076354&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960076354&partnerID=8YFLogxK
U2 - 10.1145/1999320.1999327
DO - 10.1145/1999320.1999327
M3 - Conference contribution
AN - SCOPUS:79960076354
SN - 9781450306812
T3 - ACM International Conference Proceeding Series
BT - COM.Geo 2011 - 2nd International Conference on Computing for Geospatial Research and Applications
Y2 - 23 May 2011 through 25 May 2011
ER -