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See how to Query the Scihub and download a Sentinel-1 Scene

See how to Query the Scihub and download a Sentinel-1 Scene

See how to Query the Scihub and download a Sentinel-1 Scene Link to the Scihub: https://scihub.esa.int/ Query: relativeorbitnumber:44 AND productType:”grd” AND ( footprint:”Intersects(POLYGON((168.73039229871 -43.810509143395,169.37858565808 -43.810509143395,169.37858565808 -43.532381150463,168.73039229871 -43.532381150463,168.73039229871 -43.810509143395)))” )  

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Geospatial Data Abstraction Library (GDAL) Enhancements for GIS

Geospatial Data Abstraction Library (GDAL) Enhancements for GIS

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 ...

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Share Data with OPeNDAP Hyrax: New Features and Improvements

Share Data with OPeNDAP Hyrax: New Features and Improvements

As part of NASA’s support for the Big Earth Data Initiative, the Open Source Project for a Network Data Access Protocol (OPeNDAP) enhanced four key aspects of its Hyrax Data Server: pushed aggregations, pulled aggregation, user authentication, and extended Web services. This webinar provides an explanation of these enhancements and how they benefit data users.

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Earthdata Webinar Series: Simplifed NASA Earth Science Data Access through OPeNDAP

Earthdata Webinar Series: Simplifed NASA Earth Science Data Access through OPeNDAP

Open source Project for a Network Data Access Protocol (OPeNDAP) is a protocol for accessing and transporting distributed scientific data. It provides users simple, remote access to large collections of data sets via the internet through HTTP. This webinar will demonstrate three different OPeNDAP instances and show how these services can help data users access NASA Earth science data.

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