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

Contributor(s): Perera, Ajith H., editor literario | Remmel, Tarmo K.,, editor literario
Material type: materialTypeLabelE-bookSeries: (Life sciences).Publisher: New York, NY, U.S.A. : Springer International Publishing Nature, 2017Description: 1 recurso en línea (xiv, 326 páginas) : ilustraciones (algunas a color), mapas (algunas a color).ISBN: 1493973312; 9781493973316.Subject: CartografíaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: "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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería SD387.M3 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20024125
Total holds: 0

Springer Biomedical and Life Sciences eBooks 2017 English+International

Incluye referencias bibliográficas e índice

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.

"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.

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