Mapping forest landscape patterns

Description

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. Front Matter ....Pages i-xiv Mapping Forest Landscapes: Overview and a Primer (Tarmo K. Remmel, Ajith H. Perera)....Pages 1-62 Fuzzy Classification of Vegetation for Ecosystem Mapping (F. Jack Triepke)....Pages 63-103 Portraying Wildfires in Forest Landscapes as Discrete Complex Objects (Tarmo K. Remmel, Ajith H. Perera)....Pages 105-145 Airborne LiDAR Applications in Forest Landscapes (Connie Ko, Tarmo K. Remmel)....Pages 147-185 Regression Tree Modeling of Spatial Pattern and Process Interactions (Trisalyn A. Nelson, Wiebe Nijland, Mathieu L. Bourbonnais, Michael A. Wulder)....Pages 187-212 Mapping the Abstractions of Forest Landscape Patterns (Evelyn Uuemaa, Tõnu Oja)....Pages 213-261 Towards Automated Forest Mapping (Lars T. Waser, Ruedi Boesch, Zuyuan Wang, Christian Ginzler)....Pages 263-304 Epilogue: Toward More Efficient and Effective Applications of Forest Landscape Maps (Ajith H. Perera, Tarmo K. Remmel)....Pages 305-320 Back Matter ....Pages 321-326