Multi-Source National Forest Inventory - nuovo livro

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Número ISBN/EAN: 9781402087127

Número ISBN - Ortografia alternativa:
1-4020-8712-8, 978-1-4020-8712-7
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: erkki, matti, haak, tom erk, yoshioka
Título do livro: forest, inventor 2008, inventory the navigation, source, multi, keiko, national

Dados da editora

Autor: Erkki Tomppo; Markus Haakana; Matti Katila; Jouni Peräsaari
Título: Managing Forest Ecosystems; Multi-Source National Forest Inventory - Methods and Applications
Editora: Springer; Springer Netherland
373 Páginas
Ano de publicação: 2008-09-24
Dordrecht; NL
Língua: Inglês
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XIII, 373 p.

BB; Hardcover, Softcover / Geowissenschaften; Umweltmanagement; Verstehen; Earth observation; Environmental research management; Forest inventory; Forest policy and managent; ecology; forest; forest policy; Environmental Management; Forestry; Geographical Information System; Environmental Monitoring; Mathematical Applications in Environmental Science; Ökologie, Biosphäre; Forstwirtschaft und Waldbau: Praxis und Techniken; Geographische Informationssysteme (GIS) und Fernerkundung; Umweltüberwachung (Umwelt-Monitoring); Umwelt; Angewandte Mathematik; EA; BC

Building on more than a decade of innovative research into multi-source forest inventory (MS-NFI) this book presents full details of the development, outputs and applications of the improved k-NN method. The method, which was pioneered in Finland in 1990, is rapidly becoming a world standard in forest inventory, having been adopted as standard in Finland and Sweden, and recently introduced in Austria and across the US.

The book describes in detail the full MS-NFI process, and the input data used – including field data, satellite images, and digital map data, as well as coarse-scale variation of forest variables. It also presents comprehensive information on the types of outputs which can be derived, including maps and statistics, describing, for example, stock volumes and development, dominant tree species, age-class distribution, and large and small-scale variation.

The book will provide an invaluable resource for those involved in forest inventory, including government departments and bodies involved in forest policy, management and monitoring, forest managers, and researchers and graduate students interested in forest inventory, modelling and analysis. It will find an additional market among those interested in Earth observation, ecology and broader areas of environmental and natural resource management.

Erkki Tomppo was the winner of the 1997 Marcus Wallenberg Prize for his work on the k-NN method.

Examples of forest resource maps.- Index.

Building on more than a decade of innovative research into multi-source forest inventory (MS-NFI) this book presents full details of the development, outputs and applications of the improved k-NN method. The method, which was pioneered in Finland in 1990, is rapidly becoming a world standard in forest inventory, having been adopted as standard in Finland and Sweden, and recently introduced in Austria and across the US.

The book describes in detail the full MS-NFI process, and the input data used – including field data, satellite images, and digital map data, as well as coarse-scale variation of forest variables. It also presents comprehensive information on the types of outputs which can be derived, including maps and statistics, describing, for example, stock volumes and development, dominant tree species, age-class distribution, and large and small-scale variation.

The book will provide an invaluable resource for those involved in forest inventory, including government departments and bodies involved in forest policy, management and monitoring, forest managers, and researchers and graduate students interested in forest inventory, modelling and analysis. It will find an additional market among those interested in Earth observation, ecology and broader areas of environmental and natural resource management.

Erkki Tomppo was the winner of the 1997 Marcus Wallenberg Prize for his work on the k-NN method.