Erkki Tomppo - Böcker

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.

Forest inventories throughout the world have evolved gradually over time. The content as well as the concepts and de?nitions employed are constantly adapted to the users’ needs. Advanced inventory systems have been established in many countries within Europe, as well as outside Europe, as a result of development work spanning several decades, in some cases more than 100 years. With continuously increasing international agreements and commitments, the need for information has also grown drastically, and reporting requests have become more frequent and the content of the reports wider. Some of the agreements made at the international level have direct impacts on national economies and international decisions, e. g. , the Kyoto Protocol. Thus it is of utmost importance that the forest information supplied is collected and analysed using sound scienti?c principles and that the information from different countries is comparable. European National Forest Inventory (NFI) teams gathered in Vienna in 2003 to discuss the new challenges and the measures needed to get data users to take full advantage of existing NFIs. As a result, the European National Forest Inventory Network (ENFIN), a network of NFIs, was established. The ENFIN members decided to apply for funding for meetings and collaborative activities. COST– European Cooperation in Science and Technology - provided the necessary ?n- cial means for the realization of the program.

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.

This book demonstrates in detail all phases of the 9th National Forest Inventory of Finland (1996–2003): the planning of the sampling design, measurements, estimation methods and results. The inventory knowledge accumulated during almost one hundred years is consolidated in the book. The purpose of the numerous examples of results is to demonstrate the diversity of the estimates and content of a national forest inventory. The most recent results include the assessment of the indicators describing the biodiversity of forests. The Finnish NFI has been and is a model for many countries worldwide. The methods and results of the book are set in the international context and are applicable globally. The book provides a valuable information source for countries, institutions and researchers planning own inventories as well as modifying the existing ones, or seeking the applicable definitions and estimation methods to use in their own inventories.

This book demonstrates in detail all phases of the 9th National Forest Inventory of Finland (1996–2003): the planning of the sampling design, measurements, estimation methods and results. The inventory knowledge accumulated during almost one hundred years is consolidated in the book. The purpose of the numerous examples of results is to demonstrate the diversity of the estimates and content of a national forest inventory. The most recent results include the assessment of the indicators describing the biodiversity of forests. The Finnish NFI has been and is a model for many countries worldwide. The methods and results of the book are set in the international context and are applicable globally. The book provides a valuable information source for countries, institutions and researchers planning own inventories as well as modifying the existing ones, or seeking the applicable definitions and estimation methods to use in their own inventories.