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.
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