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Kempeneers, Pieter

Open Source Geospatial Tools

Kempeneers, Pieter - Open Source Geospatial Tools, ebook

153,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319018249
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Table of contents

Part I. Geospatial Data Processing with GDAL/OGR

1. Introduction
Daniel McInerney, Pieter Kempeneers

2. Vector Data Processing
Daniel McInerney, Pieter Kempeneers

3. Raster Data Explained
Daniel McInerney, Pieter Kempeneers

4. Introduction to GDAL Utilities
Daniel McInerney, Pieter Kempeneers

5. Manipulating Raster Data
Daniel McInerney, Pieter Kempeneers

6. Indexed Color Images
Daniel McInerney, Pieter Kempeneers

7. Image Overviews, Tiling and Pyramids
Daniel McInerney, Pieter Kempeneers

8. Image (Re-)projections and Merging
Daniel McInerney, Pieter Kempeneers

9. Raster Meets Vector Data
Daniel McInerney, Pieter Kempeneers

10. Raster Meets Point Data
Daniel McInerney, Pieter Kempeneers

11. Virtual Rasters and Raster Calculations
Daniel McInerney, Pieter Kempeneers

Part II. Third Party Open Source Geospatial Utilities

12. Pktools
Daniel McInerney, Pieter Kempeneers

13. Orfeo Toolbox
Daniel McInerney, Pieter Kempeneers

14. Write Your Own Geospatial Utilities
Daniel McInerney, Pieter Kempeneers

15. 3D Point Cloud Data Processing
Daniel McInerney, Pieter Kempeneers

Part III. Case Studies

16. Case Study on Vector Spatial Analysis
Daniel McInerney, Pieter Kempeneers

17. Case Study on Multispectral Land Cover Classification
Daniel McInerney, Pieter Kempeneers

18. Case Study on Point Data
Daniel McInerney, Pieter Kempeneers

19. Conclusions and Future Outlook
Daniel McInerney, Pieter Kempeneers

20. Erratum to: Open Source Geospatial Tools
Daniel McInerney, Pieter Kempeneers

Keywords: Earth Sciences, Earth System Sciences, Remote Sensing/Photogrammetry, Geographical Information Systems/Cartography, Programming Techniques, Image Processing and Computer Vision, Environmental Monitoring/Analysis

Author(s)
 
Publisher
Springer
Publication year
2015
Language
en
Edition
2015
Series
Earth Systems Data and Models
Page amount
27 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319018249
Printed ISBN
978-3-319-01823-2

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