Principles of National Forest Inventory Methods

Theory, Practice, and Examples from Estonia

Häftad, Engelska, 2023

Av Allan Sims

919 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

1 549 kr

Skickas inom 10-15 vardagar

This Monograph explains the statistical theory behind the National Forest Inventory (NFI) data collection and compares different methods for modelling and inventory design.

Produktinformation

Utgivningsdatum2023-09-09
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieManaging Forest Ecosystems
Antal sidor162
FörlagSpringer International Publishing AG
ISBN9783031064074

Tillhör följande kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Botanik inom Naturvetenskap och teknik
Växtböcker inom Djur och natur
Biovetenskap inom Naturvetenskap och teknik
Skogsbruk inom Naturvetenskap och teknik

Dr. Allan Sims has been working with sample plots data since his master studies (2002) at the Estonian University of Life Sciences. His PhD thesis discussed “Information system of dendrometric models and data - a tool for modelling of forest growth”. The author's research field has been mainly focussed on forest growth and dynamics, stand structure, forest remote sensing and uncertainty in measuring and modelling. Since 2016 he has been leading the scientific and data analysis section of the Estonian National Forest Inventory. He has been a member of the Estonian LULUCF and FRA reporting team.

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.