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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing

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Land Use Cover Datasets and Validation Tools - Validation Practices with QGIS (Paperback, 1st ed. 2022) Loot Price: R1,617
Discovery Miles 16 170
Land Use Cover Datasets and Validation Tools - Validation Practices with QGIS (Paperback, 1st ed. 2022): David Garcia-Alvarez,...

Land Use Cover Datasets and Validation Tools - Validation Practices with QGIS (Paperback, 1st ed. 2022)

David Garcia-Alvarez, Maria Teresa Camacho Olmedo, Martin Paegelow, Jean-Francois Mas

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Loot Price R1,617 Discovery Miles 16 170 | Repayment Terms: R152 pm x 12*

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This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: June 2022
First published: 2022
Editors: David Garcia-Alvarez • Maria Teresa Camacho Olmedo • Martin Paegelow • Jean-Francois Mas
Dimensions: 279 x 210mm (L x W)
Format: Paperback
Pages: 462
Edition: 1st ed. 2022
ISBN-13: 978-3-03-091000-6
Categories: Books > Earth & environment > Earth sciences > 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
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LSN: 3-03-091000-8
Barcode: 9783030910006

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