Chapter 1. Introduction of NFI and LULUCF -- Chapter 2. Definition and uncertainty of forests -- Chapter 3. Tree and its measurement -- Chapter 4. Design of sample plots methods -- Chapter 5. Forest statistics preparation and calculation -- Chapter 6. Remeasurement of sample plots -- Chapter 7. Remote sensing data and methods in NFI -- Chapter 8. Continuous NFI design of a sample plot -- Chapter 9. NFI as open data method -- Chapter 10. Analysis of forest dynamics with NFI data -- Chapter 11. Sustainable forestry analysis method based on sample plot data.

This Monograph explains the statistical theory behind the National Forest Inventory (NFI) data collection and compares different methods for modelling and inventory design. The author also explains how natural uncertainty in measurement and modelling can affects the results. Forests, as dynamic systems, are influenced by many unpredictable factors over time. Therefore, readers can use this book to develop the right framework of expectations, when using NFI data. The chapters give an outlook on traditional methods like sample plots, but also consider newer approaches like remote sensing. By merging these different techniqes, NFI datasets can become more reliable and facetted. One of the most contemporary developments in the field, is the use of continuous plots that offer live data at all times. Whether this data should be open to the public, is another discussion point that the author addresses. Offering a perspective from Estonia, readers will find practical examples for all discussed methods. This bridge from theory to practice, makes the volume a useful resource for scientists and decision makers in the forestry sector. .