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Books > Earth & environment > The environment > Applied ecology > Biodiversity

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Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory (Paperback, Softcover reprint of hardcover 1st ed. 2006) Loot Price: R5,607

Discovery Miles 56 070

Repayment Terms: R525 pm x 12*

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Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory (Paperback, Softcover reprint of hardcover 1st ed....

Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory (Paperback, Softcover reprint of hardcover 1st ed. 2006)

Michael Koehl, Steen S. Magnussen, Marco Marchetti

Series: Tropical Forestry

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Loot Price R5,607 Discovery Miles 56 070 | Repayment Terms: R525 pm x 12*

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This book presents the state-of-the-art of forest resources assessments and monitoring. It provides links to practical applications of forest and natural resource assessment programs. It offers an overview of current forest inventory systems and discusses forest mensuration, sampling techniques, remote sensing applications, geographic and forest information systems, and multi-resource forest inventory. Attention is also given to the quantification of non-wood goods and services.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Tropical Forestry
Release date:	November 2010
First published:	2006
Authors:	Michael Koehl • Steen S. Magnussen • Marco Marchetti
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	373
Edition:	Softcover reprint of hardcover 1st ed. 2006
ISBN-13:	978-3-642-06898-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Biology, life sciences > Botany & plant sciences > Plant ecology Books > Earth & environment > The environment > Applied ecology > Biodiversity Promotions
LSN:	3-642-06898-7
Barcode:	9783642068980