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Titlebook: Mapping Forest Landscape Patterns; Tarmo K. Remmel,Ajith H. Perera Book 2017 Springer Science+Business Media LLC 2017 Forest landscape eco

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書目名稱Mapping Forest Landscape Patterns
編輯Tarmo K. Remmel,Ajith H. Perera
視頻videohttp://file.papertrans.cn/624/623762/623762.mp4
概述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 la
圖書封面Titlebook: Mapping Forest Landscape Patterns; Tarmo K. Remmel,Ajith H. Perera Book 2017 Springer Science+Business Media LLC 2017 Forest landscape eco
描述.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..
出版日期Book 2017
關(guān)鍵詞Forest landscape ecology; forest disturbances; mapping techniques; quantifying landscape patterns; remot
版次1
doihttps://doi.org/10.1007/978-1-4939-7331-6
isbn_softcover978-1-4939-8455-8
isbn_ebook978-1-4939-7331-6
copyrightSpringer Science+Business Media LLC 2017
The information of publication is updating

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Portraying Wildfires in Forest Landscapes as Discrete Complex Objects,itions during a fire event. This heterogeneity extends from an uneven burn intensity that affects the degree of forest disturbance to inconsistency in boundary abruptness at the fire perimeter, in spot fires associated with the main fire, and in areas internal to the fire where residual vegetation a
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Regression Tree Modeling of Spatial Pattern and Process Interactions,s. To characterize the outcomes of a dynamic process in terms of a spatial pattern, we often consider the probability of certain outcomes over a large area rather than on the scale of the particular process. In this chapter we demonstrate data mining approaches that leverage the growing availability
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Mapping the Abstractions of Forest Landscape Patterns,sses and patterns and the factors that control them or that they control. For decades, landscape metrics have been used to measure and abstract landscape patterns. Since the emergence of FRAGSTATS in 1993, the measures and methods incorporated in this software have become widely used and are now a .
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Towards Automated Forest Mapping,nformation for the assessment of woodland resources and a key issue for any National Forest Inventory (NFI). Nowadays, new perspectives for automated forest mapping are emerging through the latest developments in remote sensing data and techniques. In this chapter, an overview of current remote sens
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