Remmel Mapping Forest Landscape Patterns

Mapping Forest Landscape Patterns

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Beschreibung

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. 

Explores the concepts, premises, advancements and challenges in quantifying natural forest landscape patterns through mapping and modeling techniques

Presents a series of case study examples of the latest technological advancements in mapping

Offers a collection of topical syntheses that cover the state of knowledge on characterizing, representing, and mapping of natural forest landscapes, and suggests opportunities and needs for future research


Explores the concepts, premises, advancements and challenges in quantifying natural forest landscape patterns through mapping and modeling techniques Presents a series of case study examples of the latest technological advancements in mapping Offers a collection of topical syntheses that cover the state of knowledge on characterizing, representing, and mapping of natural forest landscapes, and suggests opportunities and needs for future research Includes supplementary material: sn.pub/extras

Autor*in

Tarmo K. Remmel

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Forest landscape ecology forest disturbances mapping techniques quantifying landscape patterns remote sensing mapping

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Details

ISBN: 9781493973316
Verlag: Springer US
Erscheinung: 07.09.2017

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