Open Source Geospatial Tools

Applications in Earth Observation

Nonfiction, Science & Nature, Technology, Remote Sensing, Science, Earth Sciences
Cover of the book Open Source Geospatial Tools by Daniel McInerney, Pieter Kempeneers, Springer International Publishing
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Author: Daniel McInerney, Pieter Kempeneers ISBN: 9783319018249
Publisher: Springer International Publishing Publication: November 22, 2014
Imprint: Springer Language: English
Author: Daniel McInerney, Pieter Kempeneers
ISBN: 9783319018249
Publisher: Springer International Publishing
Publication: November 22, 2014
Imprint: Springer
Language: English

This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks.

A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.

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This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks.

A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.

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