Multi-Source National Forest Inventory [electronic resource] : Methods and Applications / by Erkki Tomppo, Markus Haakana, Matti Katila, Jouni Peräsaari.

Call Number	333.7
Author	Tomppo, Erkki. author.
Title	Multi-Source National Forest Inventory Methods and Applications / by Erkki Tomppo, Markus Haakana, Matti Katila, Jouni Peräsaari.
Physical Description	XIII, 373 p. online resource.
Series	Managing Forest Ecosystems, 1568-1319 ; 18
Contents	List of abbreviations -- Preface -- 1. Introduction -- 2. Materials. 2.1 Field data. 2.2 Satellite images. 2.3 Digital map data. 2.4 Digital elevation model. 2.5 Large area forest resource data -- 3. Methods. 3.1 Image rectification and pre-processing of data. 3.2 Estimation -- 4. Results. 4.1 Forest resources by municipalities. 4.2 Comparison of the results by regions and to MS-NFI8 results. 4.3 Accuracy of small-area estimates from MS-NFI8 and MS-NFI9. 4.4 Digital thematic output maps -- 5. Discussion -- Acknowledgements -- References -- Appendix 1. Forest resource tables 1–8 -- Appendix 2. Examples of forest resource maps -- Index.
Summary	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.
Added Author	Haakana, Markus. author. Katila, Matti. author. Peräsaari, Jouni. author. SpringerLink (Online service)
Subject	ENVIRONMENT. Geographical Information Systems. FORESTRY. Forestry management. ENVIRONMENTAL MANAGEMENT. ENVIRONMENTAL SCIENCES. Environment. Environmental Management. Forestry. Forestry Management. Geographical Information Systems/Cartography. Environmental Monitoring/Analysis. Math. Appl. in Environmental Science.
Multimedia	http://dx.doi.org/10.1007/978-1-4020-8713-4

Libraries with this item

950	Biomedical and Life Sciences (Springer-11642)

Total Ratings: 0

Copies
MARC Record
Reviews
Details


No records found to display.

04161nam a22006015i 4500

001

vtls001568167

003

VRT

005

20170831181800.0

007

cr nn 008mamaa

008

170831s2008 ne | s |||| 0|eng d

020

$a 9781402087134 $9 978-1-4020-8713-4

024

$a 10.1007/978-1-4020-8713-4 $2 doi

035

$a (DE-He213)978-1-4020-8713-4

039

$a 201708311818 $b santha $y 201708311314 $z vjs2012

050

$a GE300-350

072

$a RNF $2 bicssc

072

$a TEC010000 $2 bisacsh

082

$a 333.7 $2 23

100

$a Tomppo, Erkki. $e author.

245

$a Multi-Source National Forest Inventory $h [electronic resource] : $b Methods and Applications / $c by Erkki Tomppo, Markus Haakana, Matti Katila, Jouni Peräsaari.

264

$a Dordrecht : $b Springer Netherlands, $c 2008.

300

$a XIII, 373 p. $b online resource.

336

$a text $b txt $2 rdacontent

337

$a computer $b c $2 rdamedia

338

$a online resource $b cr $2 rdacarrier

347

$a text file $b PDF $2 rda

490

$a Managing Forest Ecosystems, $x 1568-1319 ; $v 18

505

$a List of abbreviations -- Preface -- 1. Introduction -- 2. Materials. 2.1 Field data. 2.2 Satellite images. 2.3 Digital map data. 2.4 Digital elevation model. 2.5 Large area forest resource data -- 3. Methods. 3.1 Image rectification and pre-processing of data. 3.2 Estimation -- 4. Results. 4.1 Forest resources by municipalities. 4.2 Comparison of the results by regions and to MS-NFI8 results. 4.3 Accuracy of small-area estimates from MS-NFI8 and MS-NFI9. 4.4 Digital thematic output maps -- 5. Discussion -- Acknowledgements -- References -- Appendix 1. Forest resource tables 1–8 -- Appendix 2. Examples of forest resource maps -- Index.

520

$a 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.

650

$a ENVIRONMENT.

650

$a Geographical Information Systems.

650

$a FORESTRY.

650

$a Forestry management.

650

$a ENVIRONMENTAL MANAGEMENT.

650

$a ENVIRONMENTAL SCIENCES.

650

$a Environment.

650

$a Environmental Management.

650

$a Forestry.

650

$a Forestry Management.

650

$a Geographical Information Systems/Cartography.

650

$a Environmental Monitoring/Analysis.

650

$a Math. Appl. in Environmental Science.

700

$a Haakana, Markus. $e author.

700

$a Katila, Matti. $e author.

700

$a Peräsaari, Jouni. $e author.

710

$a SpringerLink (Online service)

773

$t Springer eBooks

776

$i Printed edition: $z 9781402087127

830

$a Managing Forest Ecosystems, $x 1568-1319 ; $v 18

856

$u http://dx.doi.org/10.1007/978-1-4020-8713-4

912

$a ZDB-2-SBL

950

$a Biomedical and Life Sciences (Springer-11642)

999

$a VIRTUA

No Reviews to Display

Summary	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.
Contents	List of abbreviations -- Preface -- 1. Introduction -- 2. Materials. 2.1 Field data. 2.2 Satellite images. 2.3 Digital map data. 2.4 Digital elevation model. 2.5 Large area forest resource data -- 3. Methods. 3.1 Image rectification and pre-processing of data. 3.2 Estimation -- 4. Results. 4.1 Forest resources by municipalities. 4.2 Comparison of the results by regions and to MS-NFI8 results. 4.3 Accuracy of small-area estimates from MS-NFI8 and MS-NFI9. 4.4 Digital thematic output maps -- 5. Discussion -- Acknowledgements -- References -- Appendix 1. Forest resource tables 1–8 -- Appendix 2. Examples of forest resource maps -- Index.
Subject	ENVIRONMENT. Geographical Information Systems. FORESTRY. Forestry management. ENVIRONMENTAL MANAGEMENT. ENVIRONMENTAL SCIENCES. Environment. Environmental Management. Forestry. Forestry Management. Geographical Information Systems/Cartography. Environmental Monitoring/Analysis. Math. Appl. in Environmental Science.
Multimedia	http://dx.doi.org/10.1007/978-1-4020-8713-4