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Swiss National Forest Inventory – Methods and Models of the Fourth Assessment

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Cover of 'Swiss National Forest Inventory – Methods and Models of the Fourth Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 Swiss NFI at a Glance
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    Chapter 2 Sampling Design and Estimation Procedures
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    Chapter 3 Remote Sensing Data Sources
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    Chapter 4 Remote Sensing Data Management
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    Chapter 5 Stereo GIS Application for Aerial-Image Interpretation
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    Chapter 6 Variables on the Sample Plot Captured by the Stereo GIS Application
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    Chapter 7 Area-Wide Products
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    Chapter 8 Planning and Organisation of the Terrestrial Inventory and Interview Survey
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    Chapter 9 Field Assessment
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    Chapter 10 Interview Survey with the Local Forest Service
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    Chapter 11 Time Study of the Terrestrial Inventory and Interview Survey
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    Chapter 12 State and Change of Forest Resources
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    Chapter 13 Assortments
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    Chapter 14 Whole Tree Biomass and Carbon Stock
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    Chapter 15 Other Models
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    Chapter 16 Calculation of Potential Timber Harvesting Costs (HeProMo)
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    Chapter 17 Forest Development Model MASSIMO
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    Chapter 18 Model of Carbon Cycling in Dead Organic Matter and Soil (Yasso07)
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    Chapter 19 Scenario Simulations
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    Chapter 20 The Swiss National Forest Inventory Data Analysis System
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    Chapter 21 Quality in Aerial-Image Interpretation and Field Survey
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    Chapter 22 Compilation of a High-Quality Forest Road Data Set
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    Chapter 23 Raw Data Collection Software in the Swiss NFI
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    Chapter 24 Coordination of the Swiss National Forest Inventory Data Analysis System
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Title
Swiss National Forest Inventory – Methods and Models of the Fourth Assessment
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-19293-8
ISBNs
978-3-03-019292-1, 978-3-03-019293-8
Editors

Fischer, Christoph, Traub, Berthold

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 4 33%
Student > Bachelor 1 8%
Other 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Environmental Science 8 67%
Earth and Planetary Sciences 2 17%
Agricultural and Biological Sciences 1 8%
Unknown 1 8%