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

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Applied Remote Sensing for Urban Planning, Governance and Sustainability (Hardcover, 2007 ed.) Loot Price: R4,622
Discovery Miles 46 220
Applied Remote Sensing for Urban Planning, Governance and Sustainability (Hardcover, 2007 ed.): Maik Netzband, William L...

Applied Remote Sensing for Urban Planning, Governance and Sustainability (Hardcover, 2007 ed.)

Maik Netzband, William L Stefanov, Charles Redman

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Loot Price R4,622 Discovery Miles 46 220 | Repayment Terms: R433 pm x 12*

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Despite the promising and exciting possibilities presented by new and fast-developing remote sensing technologies applied to urban areas, there is still a gap perceived between the generally academic and research-focused spectrum of results offered by the urban remote sensing community and the application of these data and products by the local governmental bodies of urban cities and regions. While there is no end of interesting science questions that we can ask about cities, sometimes these questions don't match well with what the operational problems and concerns of a given city are. The authors present data from six urban regions from all over the world. They explain what the important questions are, and how one can use data and scientific skills to help answer them."

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: July 2007
First published: September 2007
Editors: Maik Netzband • William L Stefanov • Charles Redman
Dimensions: 235 x 155 x 26mm (L x W x T)
Format: Hardcover
Pages: 278
Edition: 2007 ed.
ISBN-13: 978-3-540-25546-8
Categories: Books > Arts & Architecture > Architecture > Landscape art & architecture > City & town planning - architectural aspects
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: 3-540-25546-X
Barcode: 9783540255468

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