Remote Sensing of Vegetation: Along a Latitudinal Gradient in Chile

Author:   Christian Julian Bödinger
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2019
ISBN:  

9783658251192


Pages:   108
Publication Date:   05 February 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Remote Sensing of Vegetation: Along a Latitudinal Gradient in Chile


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Overview

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.

Full Product Details

Author:   Christian Julian Bödinger
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Spektrum
Edition:   1st ed. 2019
Weight:   0.454kg
ISBN:  

9783658251192


ISBN 10:   3658251190
Pages:   108
Publication Date:   05 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

TanDEM-X DEM, Sentinel Optical and Radar Data, Landsat Surface Reflectance.- Machine Learning Using SVMs and Random Forest.- Statistical Time-Series Evaluation.- Maps of Land Use and Cover (LULC).- Time-Series Showing the Impact of ENSO.

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Author Information

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.

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