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Mapping Forest Landscape Patterns
ISBN-13:
9781493973316
Veröffentl:
2017
Einband:
eBook
Seiten:
326
Autor:
Tarmo K. Remmel
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
Preface
Chapter 1: Mapping forest landscapes: overview and a primer
1. Mapping forest landscapes: an introduction
1.1 What is mapping?
1.2 What is a forest landscape?
2. Considerations in forest landscape mapping
2.1 Describing spatial patterns
2.2 Focus on boundaries
2.3 Beyond 2D data
3. Utility of forest landscape maps
3.1 Map representations
3.2 Morphological interpretations
3.3 Map scale
3.4 Error assessment and validation
4. Summary
Chapter 2: Fuzzy classification of vegetation for ecosystem mapping
1. Introduction
2. Overview of fuzzy systems
2.1 Fuzzy systems – key concepts for mapping
2.2 Mapping with fuzzy classifiers
3. Fuzzy approaches for identifying and utilizing uncertainty
3.1 Thematic uncertainty
3.2 Spatial uncertainty
3.3 Simultaneous considerations of thematic and spatial uncertainty
3.4 Multiple outputs – fuzzy geodatabase
4. Vertical structure mapping
5. A look to the future
6. Summary
Chapter 3: Portraying wildfires in forest landscapes as discrete complex objects
1. Introduction
2. Wildfire initiation and anatomy
2.1 Initiation
2.2 Descriptors of footprints
3. Wildfires as discrete and complex objects
3.1 The outer edge of a wildfire is scale-dependent
3.2 Width of the ecotone
3.3 Internal heterogeneity
4. Standardized depiction of wildfires as discrete complex objects
5. The future of mapping wildfires
5.1 Accuracy assessment in remote regions
5.2 Landscape persistence
5.3 Hierarchical data formats for capturing scale effects
Chapter 4: Airborne LiDAR applications in forest landscapes
1. Introduction
1.1 Defining ALS LiDAR
1.2 Introduction to the three common LiDAR platforms
1.3 Intensity, point density, and multi-spectral LiDAR
2. Primary measurements
2.1 Surface models (DEM, DSM, DTM, CHM)
2.2 Canopy height models and detection and delineation of individual trees
3. Secondary measurements
3.1 Regression models and allometric equations
3.2 Vertical profile for a single tree
3.3 Classification of vegetation types
3.4 Tree genus and species classification
3.5 Case study: identifying potentially hazardous trees
4. The future of LiDAR
Chapter 5: Regression Tree modeling of spatial pattern and process interactions
1. Spatial Pattern and Processes
1.1 Describing spatial patterns
1.2 Process complexity
1.3 Data mining
2. Methods
2.1 CART models
2.2 BRT
2.3 RF models
3. Case Study Context – Influence of beetle infestation spatial patterns on fire spatial processes
3.1 Study area
3.2 Spatial data
4. Model evaluation
4.1 CART
4.2 BRTs
4.3 RF models
4.4 Comparing modeling approaches
5. Interpreting regression tree results within the context of spatial pattern and process
Chapter 6: Mapping the abstractions of forest landscape patterns
1. Introduction
2. Tools for evaluating landscape patterns
3. Data preparation and uncertainties within metrics
3.1 Scale and classification issues
4. Mapping different aspects of a landscape pattern
4.1 Composition
4.2 Configuration
4.3 Criteria for selecting metrics
5. Applications of forest pattern mapping
5.1 Improving forest management
5.2 Assessment of forest habitats
5.3 Mapping landscape metrics by using GIS
5.4 Using landscape metrics in modeling
6. Future perspectives on mapping patterns
6.1 3D landscape metrics
6.2 4D landscape metrics
7. Conclusions
Chapter 7: Towards automated forest mapping
1. Introduction
1.1 Definitions
1.1.1 Forest
1.1.2 Remote sensing for automated mapping of woodland and forest
2. Data and Pre-processing
2.1 Reference data
2.2 Remote sensing systems
2.3 Processing of input data sets
3. Mapping woodland
3.1 A hierarchical segmentation approach for mapping woodland
3.2 Individual tree and tree crown detection
3.3 Fractional tree cover approach
4. Forest mapping
4.1 Moving window approach
4.2 Distance criterion approach
5. Lessons learned
6. Future perspectives
Epilogue: Toward more efficient and effective applications of forest landscape maps
1. Background
2. Goals of this chapter
3. Considerations in forest landscape mapping
3.1. The community of map developers and users is broad
3.2. Maps are model outputs
3.3. Maps are probabilistic
3.4. Maps contain errors
3.5. Map contents are scale-related
3.6. Map applications are scale-related
3.7. Mapping methods are advancing rapidly
4. A brief list of best practices for using forest landscape maps
5. Conclusions