001449392 000__ 03520cam\a2200493\a\4500
001449392 001__ 1449392
001449392 003__ OCoLC
001449392 005__ 20230310004358.0
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001449392 008__ 220910s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001449392 019__ $$a1344154822
001449392 020__ $$a9783031064050$$q(electronic bk.)
001449392 020__ $$a3031064054$$q(electronic bk.)
001449392 020__ $$z3031064046
001449392 020__ $$z9783031064043
001449392 0247_ $$a10.1007/978-3-031-06405-0$$2doi
001449392 035__ $$aSP(OCoLC)1344158351
001449392 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ$$dWAU
001449392 043__ $$ae-er---
001449392 049__ $$aISEA
001449392 050_4 $$aSD387.S86
001449392 08204 $$a634.9/285$$223/eng/20220914
001449392 1001_ $$aSims, Allan,$$eauthor.
001449392 24510 $$aPrinciples of National Forest inventory methods :$$btheory, practice, and examples from Estonia /$$cAllan Sims.
001449392 260__ $$aCham :$$bSpringer,$$c2022.
001449392 300__ $$a1 online resource (xi, 162 pages) :$$billustrations
001449392 4901_ $$aManaging forest ecosystems ;$$vv.43
001449392 504__ $$aIncldues bibliographical references.
001449392 5050_ $$aChapter 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.
001449392 506__ $$aAccess limited to authorized users.
001449392 520__ $$aThis 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.
001449392 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 14, 2022).
001449392 650_0 $$aForest surveys$$zEstonia.
001449392 650_0 $$aForest management$$zEstonia.
001449392 655_0 $$aElectronic books.
001449392 77608 $$iPrint version:$$aSims, Allan$$tPrinciples of National Forest Inventory Methods$$dCham : Springer International Publishing AG,c2022$$z9783031064043
001449392 830_0 $$aManaging forest ecosystems ;$$vv. 43.
001449392 852__ $$bebk
001449392 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-06405-0$$zOnline Access$$91397441.1
001449392 909CO $$ooai:library.usi.edu:1449392$$pGLOBAL_SET
001449392 980__ $$aBIB
001449392 980__ $$aEBOOK
001449392 982__ $$aEbook
001449392 983__ $$aOnline
001449392 994__ $$a92$$bISE