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Geoinformation from the Past

Computational Retrieval and Retrospective Monitoring of Historical Land Use

  • HendrikĀ Herold

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Hendrik Herold
    Pages 1-10
  3. Hendrik Herold
    Pages 11-42
  4. Hendrik Herold
    Pages 43-65
  5. Hendrik Herold
    Pages 67-86
  6. Hendrik Herold
    Pages 87-113
  7. Hendrik Herold
    Pages 115-133
  8. Hendrik Herold
    Pages 135-144
  9. Back Matter
    Pages 145-192

About this book

Introduction

Hendrik Herold explores potentials and hindrances of using retrospective geoinformation for monitoring, communicating, modeling, and eventually understanding the complex and gradually evolving processes of land cover and land use change. Based on a comprehensive review of literature, available data sets, and suggested algorithms, the author proposes approaches for the two major challenges: To address the diversity of geographical entity representations over space and time, image segmentation is considered a global non-linear optimization problem, which is solved by applying a metaheuristic algorithm. To address the uncertainty inherent to both the data source itself as well as its utilization for change detection, a probabilistic model is developed. Experimental results demonstrate the capabilities of the methodology, e.g., for geospatial data science and earth system modeling.

Contents

  • Monitoring and Modeling Land Change
  • Geoinformation from Digital Images
  • An Adaptive Map Image Analysis Approach
  • Modeling Uncertainty for Change Analysis

Target Groups

  • Researchers, lecturers, and students from the fields of geoscience, geography, urban and landscape ecology, land change science, earth system science, digital humanities
  • Town and country planners, map librarians, historians

The Author
Hendrik Herold
holds a doctoral degree from Dresden University of Technology, Germany, where he studied Geography, Geology, and Meteorology. 

Keywords

Land Change Science Land Use Monitoring Anthropocene Evolutionary Algorithms Uncertainty Modeling

Authors and affiliations

  • HendrikĀ Herold
    • 1
  1. 1.Leibniz Institute of Ecological Urban and Regional DevelopmentDresdenGermany

Bibliographic information

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