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Open Source Geospatial Tools - Applications in Earth Observation (Hardcover, 2015 ed.) Loot Price: R3,787

Discovery Miles 37 870

Repayment Terms: R355 pm x 12*

You Save: R583 (13%)

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Open Source Geospatial Tools - Applications in Earth Observation (Hardcover, 2015 ed.): Daniel McInerney, Pieter Kempeneers

Open Source Geospatial Tools - Applications in Earth Observation (Hardcover, 2015 ed.)

Daniel McInerney, Pieter Kempeneers

Series: Earth Systems Data and Models, 3

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List price ~~R4,370~~ Loot Price R3,787 Discovery Miles 37 870 | Repayment Terms: R355 pm x 12* You Save R583 (13%)

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Earth Systems Data and Models, 3
Release date:	December 2014
First published:	2015
Authors:	Daniel McInerney • Pieter Kempeneers
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	358
Edition:	2015 ed.
ISBN-13:	978-3-319-01823-2
Categories:	Books > Computing & IT > Computer programming > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-319-01823-X
Barcode:	9783319018232