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E-RESOURCE

Title Mapping forest landscape patterns / Tarmo K. Remmel, Ajith H. Perera, editors.

Published New York, NY, U.S.A. : Springer Nature, [2017]

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xiv, 326 pages) : illustrations (some color), maps (some color)
Series Life sciences
Springer life sciences.
Springer Biomedical and Life Sciences eBooks 2017 English+International
Bibliography Includes bibliographical references and index.
Contents Mapping Forest Landscapes: Overview and a Primer / Tarmo K. Remmel, Ajith H. Perera -- Fuzzy Classification of Vegetation for Ecosystem Mapping / F. Jack Triepke -- Portraying Wildfires in Forest Landscapes as Discrete Complex Objects / Tarmo K. Remmel, Ajith H. Perera -- Airborne LiDAR Applications in Forest Landscapes / Connie Ko, Tarmo K. Remmel -- Regression Tree Modeling of Spatial Pattern and Process Interactions / Trisalyn A. Nelson [and 3 others] -- Mapping the Abstractions of Forest Landscape Patterns / Evelyn Uuemaa, Tõnu Oja -- Towards Automated Forest Mapping / Lars T. Waser [and 3 others] -- Epilogue: Toward More Efficient and Effective Applications of Forest Landscape Maps / Ajith H. Perera, Tarmo K. Remmel.
Summary "This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis."--Provided by publisher.
Other author Remmel, Tarmo K., editor.
Perera, Ajith H., editor.
SpringerLink issuing body.
Subject Forest mapping.
Electronic books.
ISBN 9781493973316 (electronic bk.)
1493973312 (electronic bk.)
9781493973293 (print)
1493973290 (print)