TY  - BOOK
AU  - Remmel,Tarmo K.
AU  - Perera,Ajith H.
ED  - SpringerLink (Online service)
TI  - Mapping Forest Landscape Patterns
SN  - 9781493973316
AV  - QH541.15.L35 
U1  - 577 23
PY  - 2017///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Landscape ecology
KW  - Forestry
KW  - Applied ecology
KW  - Environmental management
KW  - Landscape Ecology
KW  - Applied Ecology
KW  - Environmental Management
N1  - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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. 
UR  - https://doi.org/10.1007/978-1-4939-7331-6
ER  -