Multi-Source National Forest Inventory: Methods and Applications

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The field data originates from the 10th Finnish National Forest Inventory from years to and from the 11th Finnish National Forest Inventory from years and The basic features of the employed improved k-NN, ik- NN, method are described. The results are presented by the regions of the Public Service unit of the Finnish Forest Centre and within the regions by municipalities.

Multi-Source National Forest Inventory : Methods and Applications -

The estimates are given, for example, for land areas, areas of tree species dominance, age and development classes and often separately for forests available for wood supply. The mean volume and total volume estimates are given in many different ways: mean volumes by tree species and by timber assortments for forest land, poorly productive forest land and their combination and also for forests available for wood supply, as well as by age and development classes. Out of stock. Get In-Stock Alert.

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A Day at a National Forest Inventory Camp in Papua New Guinea (Short Version)

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Methodology and Applications

Walmart Services. Published Dordrecht ; [London] : Springer, Language English View all editions Prev Next edition 2 of 3. Other Authors Kangas, Annika.

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    Methods and Applications

    Summary Developed as a forest inventory textbook for students and also serves as a handbook for practical foresters. This book is divided into four sections, and it deals with sampling issues.

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    Most applications involve remote sensing technology of some sort, and this work also deals with the use of remote sensing material for this purpose. Contents Machine derived contents note: Preface. Part I: Theory. Introduction; A. Kangas et al.

    Main principles for state forest inventory organization and implementation

    Design-based sampling and inference; A. Model-based inference; A. Mensurational aspects; A. Change monitoring with permanent sample plots; S. Generalizing sample tree information; J. Lappi et al. Use of additional information; J. Lappi, A. Sampling rare populations; A. Inventories of vegetation, wild berries and mushrooms; M. Assessment of uncertainty in spatially systematic sampling; J.