Overview
- Comprises detailed description of all facets of a National Forest Inventory, ranging from organizational and methodological aspects to technical details of sampling designs and statistical results analyses
- Presents prognosis models and wall to wall spatial products such as the vegetation height model
- Shows the whole automatized workflow from raw data acquisition to statistical estimation and results presentation
- Explains data warehousing concepts and architecture, and discusses appropriate concepts of result dissemination via web-based tools.
- Describes quality assurance and control measures applied to the terrestrial field surveys and aerial photo interpretation in detail
- The presented methods are applicable to any sample based forest inventory around the globe
Part of the book series: Managing Forest Ecosystems (MAFE, volume 35)
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Table of contents (24 chapters)
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Front Matter
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Swiss NFI at a Glance
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Front Matter
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Sampling Design and Estimation Procedures
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Front Matter
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Terrestrial Inventory and Interview Survey
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Front Matter
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Modelling of Forest Resources
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Front Matter
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Keywords
About this book
The Swiss National Forest Inventory (NFI) is a forest survey on national level which started in 1982 and has already reached its 5th survey cycle (NFI5). It can be characterized as a multisource and multipurpose inventory where information is mainly collected from terrestrial field surveys using permanent sample plots. In addition, data from aerial photography, GIS and forest service questionnaires are also included.
The NFI's main objective is to provide statistically reliable and sound figures to stakeholders such as politicians, researchers, ecologists, forest service, timber industry, national and international organizations as well as to international projects such as the Forest Resources Assessment of the United Nations. For Switzerland, NFI results are typically reported on national and regional level.
State of the art methods are applied in all fields of data collection which have been proven to be of international interest and have even served as a basis for other European NFIs. The presented methods are applicable to any sample based forest inventory around the globe.
In 2001 the Swiss NFI published its methods for the first time. Since then, many methodological changes and improvements have been introduced.
This book describes the complete set of methods and revisions since NFI2. It covers various topics ranging from inventory design and statistics to remote sensing, field survey methods and modelling. It also describes data quality concepts and the software framework used for data storage, statistical analysis and result presentation.
Editors and Affiliations
About the editors
Christoph Fischer is a forestry scientist. His background is in forestry and forest ecology, as well as tropical and international forestry. He received his doctorate from Georg-August-Universität Göttingen, Germany, where he gained in-depth experience in techniques for conducting forest inventories and in remote sensing. He also planned, led and evaluated the first, sample-based forest inventory of Burkina Faso. Since 2011, he has carried out research for the Swiss National Forest Inventory (NFI) on resource availability and forest recreation. He actively participates in international projects on the harmonisation of wood resource assessments using NFI data. He is author and co-author of various scientific articles and book chapters. Since 2018, he has been head of the Swiss NFI’s module on protective forests.
Bibliographic Information
Book Title: Swiss National Forest Inventory – Methods and Models of the Fourth Assessment
Editors: Christoph Fischer, Berthold Traub
Series Title: Managing Forest Ecosystems
DOI: https://doi.org/10.1007/978-3-030-19293-8
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-19292-1Published: 07 October 2019
Softcover ISBN: 978-3-030-19295-2Published: 07 October 2020
eBook ISBN: 978-3-030-19293-8Published: 24 September 2019
Series ISSN: 1568-1319
Series E-ISSN: 2352-3956
Edition Number: 1
Number of Pages: XV, 431
Number of Illustrations: 45 b/w illustrations, 71 illustrations in colour
Topics: Forestry, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Monitoring/Environmental Analysis, Natural Resources