|
|
|
|
LEADER |
03091nam a22005055i 4500 |
001 |
978-1-4939-7331-6 |
003 |
DE-He213 |
005 |
20170908174549.0 |
007 |
cr nn 008mamaa |
008 |
170908s2017 xxu| s |||| 0|eng d |
020 |
|
|
|a 9781493973316
|9 978-1-4939-7331-6
|
024 |
7 |
|
|a 10.1007/978-1-4939-7331-6
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a QH541.15.L35
|
072 |
|
7 |
|a PSTS
|2 bicssc
|
072 |
|
7 |
|a SCI020000
|2 bisacsh
|
072 |
|
7 |
|a GAR014000
|2 bisacsh
|
082 |
0 |
4 |
|a 577
|2 23
|
245 |
1 |
0 |
|a Mapping Forest Landscape Patterns
|h [electronic resource] /
|c edited by Tarmo K. Remmel, Ajith H. Perera.
|
264 |
|
1 |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2017.
|
300 |
|
|
|a XIV, 326 p. 125 illus., 94 illus. in color.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
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 Life sciences.
|
650 |
|
0 |
|a Applied ecology.
|
650 |
|
0 |
|a Landscape ecology.
|
650 |
|
0 |
|a Forestry.
|
650 |
|
0 |
|a Environmental management.
|
650 |
1 |
4 |
|a Life Sciences.
|
650 |
2 |
4 |
|a Landscape Ecology.
|
650 |
2 |
4 |
|a Forestry.
|
650 |
2 |
4 |
|a Applied Ecology.
|
650 |
2 |
4 |
|a Environmental Management.
|
700 |
1 |
|
|a Remmel, Tarmo K.
|e editor.
|
700 |
1 |
|
|a Perera, Ajith H.
|e editor.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9781493973293
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4939-7331-6
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-SBL
|
950 |
|
|
|a Biomedical and Life Sciences (Springer-11642)
|