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Mapping Forest Landscape Patterns

Title
Mapping Forest Landscape Patterns [electronic resource] / edited by Tarmo K. Remmel, Ajith H. Perera.
ISBN
9781493973316
Publication
New York, NY : Springer New York : Imprint: Springer, 2017.
Physical Description
XIV, 326 p. 125 illus., 94 illus. in color : online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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. .
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 03, 2017
Contents
Preface
Chapter 1: Mapping forest landscapes: overview and a primer
Chapter 2: Fuzzy classification of vegetation for ecosystem mapping
Chapter 3: Portraying wildfires in forest landscapes as discrete complex objects
Chapter 4: Airborne LiDAR applications in forest landscapes
Chapter 5: Regression Tree modeling of spatial pattern and process interactions
Chapter 6: Mapping the abstractions of forest landscape patterns
Chapter 7: Towards automated forest mapping
Epilogue: Toward more efficient and effective applications of forest landscape maps.
Also listed under
Remmel, Tarmo K.
Perera, Ajith H.
SpringerLink (Online service)
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