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Kohl, Michael; Magnussen, Steen S. (Natural Resources Canada); Marchetti, Marco - Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory - 9783540325710 - V9783540325710
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Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory

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Description for Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory Hardback. Presents the forest resources assessments and monitoring. This title provides links to practical applications of forest and natural resource assessment programs. Series: Tropical Forestry. Num Pages: 392 pages, 103 black & white illustrations, 5 colour illustrations, 28 black & white tables, biograp. BIC Classification: TVR. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 26. Weight in Grams: 782.
When we talk about forests, we talk about 30% of our planet’s land surface 6 area. In 2000 there was an estimated 3 870×10 ha of forest worldwide, of which 1 5% is in forest plantations and 95% in natural forests (FAO 2003). Forests are not only a source for timber; they also generate significant nonwood goods and services, mitigate climate change, conserve biological diversity, provide prot- tion from natural hazards, and not least: provide recreational areas for an increasingly urbanized world population. The availability of timber and n- wood goods and services is waning as deforestation and degradation of ... Read more

Product Details

Format
Hardback
Publication date
2006
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
392
Condition
New
Series
Tropical Forestry
Number of Pages
373
Place of Publication
Berlin, Germany
ISBN
9783540325710
SKU
V9783540325710
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Kohl, Michael; Magnussen, Steen S. (Natural Resources Canada); Marchetti, Marco
Michael Köhl is Professor of World Forestry at the University of Hamburg, Germany, and head of the Institute for World Forestry, at the Federal Research Centre for Forestry and Forest Products. His main research interests are in the field of quantitative methods for natural resources assessments and forest planning, including statistical design and analysis of complex sample surveys, remote sensing, ... Read more

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