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Open Source Geospatial Tools Applications in Earth Observation /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: McInerney, Daniel (Autor), Kempeneers, Pieter (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Earth Systems Data and Models,
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Open Source Geospatial Tools  |h [electronic resource] :  |b Applications in Earth Observation /  |c by Daniel McInerney, Pieter Kempeneers. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XXVII, 358 p. 96 illus., 50 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Earth Systems Data and Models,  |x 2364-5849 
505 0 |a 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. 
520 |a 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. 
650 0 |a Physical geography. 
650 0 |a Geographic information systems. 
650 0 |a Computer programming. 
650 0 |a Computer vision. 
650 0 |a Environmental monitoring. 
650 1 4 |a Earth System Sciences. 
650 2 4 |a Geographical Information System. 
650 2 4 |a Programming Techniques. 
650 2 4 |a Computer Vision. 
650 2 4 |a Environmental Monitoring. 
700 1 |a Kempeneers, Pieter.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319018256 
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950 |a Earth and Environmental Science (SpringerNature-11646) 
950 |a Earth and Environmental Science (R0) (SpringerNature-43711)