• DocumentCode
    2125482
  • Title

    A scripting approach for integrating software packages and geoprocessing services into scientific workflows

  • Author

    Bu, Xiaoqian ; Yue, Peng ; Wang, Linnan ; Zhang, Mingda

  • Author_Institution
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, 430079, China
  • fYear
    2015
  • fDate
    20-24 July 2015
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Scientific workflow plays an important role in complex scientific analyses. Various components including local software packages and remote Web services can be integrated into scientific workflows. In the geospatial domain, geoprocessing workflows have been widely leveraged in spatial data analysis. Existing model builders, such as ESRI ModelBuilder and ERDAS Imagine Spatial Modeler are often limited to their own proprietary environments. With the development of Web Service technologies, an increasing amount of interoperable geoprocessing services are available. Workflow tools capable of integrating local and remote geoprocessing utilities are needed. This paper presents a scripting approach for integrating software packages and geoprocessing services into scientific workflows. The scripting approach is implemented by extending the GeoJModelBuilder, an existing workflow tool capable of supporting composition and execution of geoprocessing services following the Open Geospatial Consortium (OGC) standards. A hydrological analysis application of extracting drainage networks from Digital Elevation Model (DEM) data is used to demonstrate the approach.
  • Keywords
    Geospatial analysis; Libraries; Software packages; XML; GeoJModelBuilder; Geoprocessing workflow; Python script; Scripting approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-geoinformatics), 2015 Fourth International Conference on
  • Conference_Location
    Istanbul, Turkey
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2015.7248095
  • Filename
    7248095