Daya Sagar Mathematical Morphology in Geomorphology and GISci

1. Auflage 2013
ISBN: 978-1-4398-7202-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 546 Seiten

Mathematical Morphology in Geomorphology and GISci presents a multitude of mathematical morphological approaches for processing and analyzing digital images in quantitative geomorphology and geographic information science (GISci). Covering many interdisciplinary applications, the book explains how to use mathematical morphology not only to perform quantitative morphologic and scaling analyses of terrestrial phenomena and processes, but also to deal with challenges encountered in quantitative spatial reasoning studies.

For understanding the spatiotemporal characteristics of terrestrial phenomena and processes, the author provides morphological approaches and algorithms to:

- Retrieve unique geomorphologic networks and certain terrestrial features

- Analyze various geomorphological phenomena and processes via a host of scaling laws and the scale-invariant but shape-dependent indices

- Simulate the fractal-skeletal-based channel network model and the behavioral phases of geomorphologic systems based on the interplay between numeric and graphic analyses

- Detect strategically significant sets and directional relationships via quantitative spatial reasoning

- Visualize spatiotemporal behavior and generate contiguous maps via spatial interpolation

Incorporating peer-reviewed content, this book offers simple explanations that enable readers—even those with no background in mathematical morphology—to understand the material. It also includes easy-to-follow equations and many helpful illustrations that encourage readers to implement the ideas.

Autoren/Hrsg.

Daya Sagar, Behara Seshadri

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Geowissenschaften Geologie Geomorphologie, Erosion, Glaziologie

Inhaltsverzeichnis

Introduction. Mathematical Morphology: An Introduction. Simulated, Realistic Digital Elevation Models, Digital Bathymetric Maps, Remotely Sensed Data, and Thematic Maps. Feature Extraction. Terrestrial Surface Characterization: A Quantitative Perspective. Size Distributions, Spatial Heterogeneity, and Scaling Laws. Morphological Shape Decomposition: Scale-Invariant but Shape-Dependent Measures. Granulometries, Convexity Measures, and Geodesic Spectrum for DEM Analyses. Synthetic Examples to Understand Spatiotemporal Dynamics of Certain Geo(morpho)logical Processes. Quantitative Spatial Relationships and Spatial Reasoning. Derivation of Spatially Significant Zones from a Cluster. Directional Spatial Relationship. "Between" Space. Spatial Interpolations. Index.