Webinar - Geospatial Data Abstraction Library (GDAL) Enhancements for GIS
Enable your Earth Observing data products to work in applications built on GDAL, such as ArcGIS, QGIS, and Geoserver.We will guide you through this process with an overview of GDAL framework documentation, plug-in construction and certification.
NASA Earthdata Webinar Series
Event: Geospatial Data Abstraction Library (GDAL) Enhancements for GIS
Date: Thursday, October 29, 2015 at 2pm ET
Historically, NASA Earth Observing Satellite (EOS) data products have been difficult to consume by commercial and open-source GIS tools. In order to make EOS data products more accessible and interpretable by GIS applications, a collaborative approach between the NASA Langley Atmospheric Science Data Center (ASDC), Esri, George Mason University (GMU), and the Hierarchical Data Format (HDF) Group has been taken. Through this activity, a framework and set of plugins have been created to be applied to the Geospatial Data Abstraction Library (GDAL). This framework and its plugins serve to enable extensibility within NASA EOSDIS, leveraging NASA Earth science data across the DAACs. Through this partnership, other DAACs can construct their own plugins necessary to enable their data products to work in applications built on GDAL, such as ArcGIS, QGIS, and Geoserver. In this webinar, findings related to the framework and the development of GDAL plugins will be reviewed. We will also provide an overview of the GDAL framework documentation that has been generated for the purpose of guiding other agencies using Earth Observing Data (e.g. NASA DAACs, NOAA, USGEO) through the process of constructing plug-ins consistent with the framework. The certification process by which the plugins can be independently verified as properly converting the data to the format and content required for use in GIS software will also be described and demonstrated. Join us to learn more!
Participate in our monthly webinars to learn more about NASA Earth science data sets, services and tools to discover, access and use these data. View past recorded webinar videos.
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