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Open Source Geospatial Tools - Daniel McInerney, Pieter Kempeneers

Open Source Geospatial Tools

Applications in Earth Observation
Buch | Hardcover
XXVII, 358 Seiten
2014
Springer International Publishing (Verlag)
978-3-319-01823-2 (ISBN)
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This book focuses on the use of open source software for geospatial analysis. It provides concise solutions for analyzing and visualizing spatial data as well as demonstrates the effectiveness of the command line interface for handling geospatial data.

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.

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.

Erscheint lt. Verlag 9.12.2014
Reihe/Serie Earth Systems Data and Models
Zusatzinfo XXVII, 358 p. 96 illus., 50 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 736 g
Themenwelt Naturwissenschaften Geowissenschaften Geologie
Schlagworte Command Line Interface • Command Line Programming • Geospatial Data Analysis • GIS • Image Processing • Open Source Software • Remote Sensing • Remote Sensing/Photogrammetry • software development • spatial data analysis • Visualization
ISBN-10 3-319-01823-X / 331901823X
ISBN-13 978-3-319-01823-2 / 9783319018232
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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