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Open Source Geospatial Tools

Applications in Earth Observation

  • Daniel McInerney
  • Pieter Kempeneers

Part of the Earth Systems Data and Models book series (ESDM)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Geospatial Data Processing with GDAL/OGR

    1. Front Matter
      Pages 1-1
    2. Daniel McInerney, Pieter Kempeneers
      Pages 3-18
    3. Daniel McInerney, Pieter Kempeneers
      Pages 19-50
    4. Daniel McInerney, Pieter Kempeneers
      Pages 51-60
    5. Daniel McInerney, Pieter Kempeneers
      Pages 61-62
    6. Daniel McInerney, Pieter Kempeneers
      Pages 63-80
    7. Daniel McInerney, Pieter Kempeneers
      Pages 81-84
    8. Daniel McInerney, Pieter Kempeneers
      Pages 85-97
    9. Daniel McInerney, Pieter Kempeneers
      Pages 99-127
    10. Daniel McInerney, Pieter Kempeneers
      Pages 129-139
    11. Daniel McInerney, Pieter Kempeneers
      Pages 141-161
    12. Daniel McInerney, Pieter Kempeneers
      Pages 163-170
  3. Third Party Open Source Geospatial Utilities

    1. Front Matter
      Pages 171-172
    2. Daniel McInerney, Pieter Kempeneers
      Pages 173-197
    3. Daniel McInerney, Pieter Kempeneers
      Pages 199-217
    4. Daniel McInerney, Pieter Kempeneers
      Pages 219-261
    5. Daniel McInerney, Pieter Kempeneers
      Pages 263-282
  4. Case Studies

    1. Front Matter
      Pages 283-283
    2. Daniel McInerney, Pieter Kempeneers
      Pages 285-293
    3. Daniel McInerney, Pieter Kempeneers
      Pages 295-322
    4. Daniel McInerney, Pieter Kempeneers
      Pages 323-329
    5. Daniel McInerney, Pieter Kempeneers
      Pages 331-335
  5. Daniel McInerney, Pieter Kempeneers
    Pages E1-E1
  6. Back Matter
    Pages 337-358

About this book

Introduction

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.

Keywords

Command Line Interface GIS Geospatial Data Analysis Image Processing Open Source Software Remote Sensing Software Development

Authors and affiliations

  • Daniel McInerney
    • 1
  • Pieter Kempeneers
    • 2
  1. 1.Laboratoire des Sciences du Climat et de l'EnvironnementCommissariat a L'Energie AtomiqueGif-Sur-YvetteFrance
  2. 2.Remote Sensing (TAP)VITO NVMOLBelgium

Bibliographic information

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