國立虎尾科技大學 |

Mapping forest landscape patterns

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mapping forest landscape patterns/ edited by Tarmo K. Remmel, Ajith H. Perera.
other author:	Remmel, Tarmo K.
Published:	New York, NY :Springer New York : : 2017.,
Description:	xiv, 326 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Forest mapping. -
Online resource:	http://dx.doi.org/10.1007/978-1-4939-7331-6
ISBN:	9781493973316

Mapping forest landscape patterns
Mapping forest landscape patterns[electronic resource] /edited by Tarmo K. Remmel, Ajith H. Perera. - New York, NY :Springer New York :2017. - xiv, 326 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781493973316

Standard No.: 10.1007/978-1-4939-7331-6doiSubjects--Topical Terms:

1200730
Forest mapping.

LC Class. No.: SD387.M3

Dewey Class. No.: 634.9

Mapping forest landscape patterns
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505 0 $a 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.
520 $a 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.
650 0 $a Forest mapping. $3 1200730
650 1 4 $a Life Sciences. $3 593888
650 2 4 $a Landscape Ecology. $3 668603
650 2 4 $a Forestry. $3 668651
650 2 4 $a Applied Ecology. $3 668453
650 2 4 $a Environmental Management. $3 593900
700 1 $a Remmel, Tarmo K. $3 1200729
700 1 $a Perera, Ajith H. $3 648191
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773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4939-7331-6
950 $a Biomedical and Life Sciences (Springer-11642)