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Remote Sensing of Vegetation

Along a Latitudinal Gradient in Chile

  • Book
  • © 2019

Overview

  • A better understanding of climate impacts

Part of the book series: BestMasters (BEST)

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Table of contents (7 chapters)

Keywords

About this book

How is the vegetation distribution influencing the erosion and surface formation in the different eco zones of Chile? To answer this question, it is mandatory to possess fundamental knowledge about plant species habitats, occurrence and their dynamics. In his study Christian Bödinger utilizes satellite imagery in combination with machine learning to derive maps of land use and land cover (LULC) in four study sites along a climatic gradient and to monitor vegetation using monthly Normalized Difference Vegetation Index (NDVI) time series. The findings contribute to a better understanding of climate impacts on Chilean vegetation and serve as a basis of landscape evolution models.

About the Author:

Christian Bödinger holds a M.Sc. in Physical Geography from the University of Tübingen, Germany. His focus in research lies on remote sensing and image analysis for environmental applications. He is currently working for a company focusing on aquatic remote sensing.


Authors and Affiliations

  • Faculty of Science – Geography, Eberhard Karls University of Tübingen, Tübingen, Germany

    Christian Julian Bödinger

About the author

Christian Bödinger holds a M.Sc. in Physical Geography from the University of Tübingen, Germany. His focus in research lies on remote sensing and image analysis for environmental applications. He is currently working for a company focusing on aquatic remote sensing.

Bibliographic Information

  • Book Title: Remote Sensing of Vegetation

  • Book Subtitle: Along a Latitudinal Gradient in Chile

  • Authors: Christian Julian Bödinger

  • Series Title: BestMasters

  • DOI: https://doi.org/10.1007/978-3-658-25120-8

  • Publisher: Springer Spektrum Wiesbaden

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019

  • Softcover ISBN: 978-3-658-25119-2Published: 05 February 2019

  • eBook ISBN: 978-3-658-25120-8Published: 24 January 2019

  • Series ISSN: 2625-3577

  • Series E-ISSN: 2625-3615

  • Edition Number: 1

  • Number of Pages: XXIII, 108

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Remote Sensing/Photogrammetry, Physical Geography, Environmental Geography

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