Open Source Geospatial Tools: Applications in Earth Observation by Daniel McInerneyOpen Source Geospatial Tools: Applications in Earth Observation by Daniel McInerney

Open Source Geospatial Tools: Applications in Earth Observation

byDaniel McInerney, Pieter Kempeneers

Hardcover | December 9, 2014

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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.

Title:Open Source Geospatial Tools: Applications in Earth ObservationFormat:HardcoverDimensions:358 pagesPublished:December 9, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331901823X

ISBN - 13:9783319018232

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Table of Contents

Introduction.- Vector data processing.- Raster data explained.- Introduction to GDAL utilities.- Manipulating raster data.- Indexed color images.- Image overviews, tiling and pyramids.- Image (re-)projections and merging.- Raster meets vector data.- Raster meets point data.- Virtual rasters and raster calculations.- Pktools.- Orfeo Toolbox.- Write your own geospatial utilities.- 3D point cloud data processing.- Case study on Vector Spatial analysis.- Multispectral land cover classification.- Case study on point data.- Conclusions and future outlook.