Overview
- Contains practical tips (one-liners) for everyday geospatial data analysis
- Provides comprehensive tutorials and explanations on data handling for environmental applications
- Also applicable for automated large data processing
- Focuses exclusively on free open source geospatial software that includes: GDAL/OGR, Orfeo Toolbox, pktools and spdlib
- Serves as a tutorial for novice command line users and a reference guide for experienced users
- Includes supplementary material: sn.pub/extras
Part of the book series: Earth Systems Data and Models (ESDM)
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Table of contents (20 chapters)
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Front Matter
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Geospatial Data Processing with GDAL/OGR
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Front Matter
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Third Party Open Source Geospatial Utilities
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Front Matter
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Case Studies
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Open Source Geospatial Tools
Book Subtitle: Applications in Earth Observation
Authors: Daniel McInerney, Pieter Kempeneers
Series Title: Earth Systems Data and Models
DOI: https://doi.org/10.1007/978-3-319-01824-9
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-01823-2Published: 09 December 2014
Softcover ISBN: 978-3-319-34625-0Published: 10 September 2016
eBook ISBN: 978-3-319-01824-9Published: 22 November 2014
Series ISSN: 2364-5830
Series E-ISSN: 2364-5849
Edition Number: 1
Number of Pages: XXVII, 358
Number of Illustrations: 46 b/w illustrations, 50 illustrations in colour
Topics: Earth System Sciences, Remote Sensing/Photogrammetry, Geographical Information Systems/Cartography, Programming Techniques, Image Processing and Computer Vision, Monitoring/Environmental Analysis