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Mapping forest landscape patterns

Perera, Ajith H.

Mapping forest landscape patterns

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mapping forest landscape patternsedited 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$q(electronic bk.)

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$q(electronic bk.)

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

792445
Forest mapping.

LC Class. No.: SD387.M3

Dewey Class. No.: 634.9

Mapping forest landscape patterns
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245 0 0 $a Mapping forest landscape patterns $h [electronic resource] / $c edited by Tarmo K. Remmel, Ajith H. Perera.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2017.
300 $a xiv, 326 p. : $b ill., digital ; $c 24 cm.
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 792445
650 1 4 $a Life Sciences. $3 273679
650 2 4 $a Landscape Ecology. $3 273943
650 2 4 $a Forestry. $3 275158
650 2 4 $a Applied Ecology. $3 273940
650 2 4 $a Environmental Management. $3 274175
700 1 $a Remmel, Tarmo K. $3 792444
700 1 $a Perera, Ajith H. $3 326859
710 2 $a SpringerLink (Online service) $3 273601
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)