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Author Bodinger, Christian Julian,
Title Remote sensing of vegetation : along a latitudinal gradient in Chile / Christian Julian Bodinger.
Imprint Wiesbaden, Germany : Springer Spektrum, 2019.

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Author Bodinger, Christian Julian,
Series BestMasters, 2625-3577.
BestMasters. 2625-3577.
Subject Geoinformatics.
Plants -- Geographic information systems -- Chile.
Description 1 online resource (xxiii, 108 pages) : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references.
Note Online resource; title from PDF title page (SpringerLink, viewed January 31, 2019).
Contents Intro; Foreword; Acknowledgements; Introduction of the Work Group; Table of Contents; List of Figures; List of Tables; Abbreviations; Abstract; Zusammenfassung; 1 Introduction; 2 State of Research; 2.1 The EarthShape Program; 2.2 Previous Work & Research Gaps; 2.3 Study Objectives; 3 Study Areas; 3.1 Pan De Azucar; 3.2 Santa Gracia; 3.3 La Campana; 3.4 Nahuelbuta; 4 Data & Methods; 4.1 Data; 4.1.1 Sentinel Optical and Radar Data; 4.1.2 TanDEM-X DEM; 4.1.3 Training & Validation Data; 4.1.4 Landsat Surface Reflectance; 4.2 Methods; 4.2.1 Sentinel Preprocessing
4.2.2 Derivation of Terrain Variables4.2.3 GLCM; 4.2.4 Spectral Vegetation Indices; 4.2.5 Land Cover Classes; 4.2.6 Machine Learning; 4.2.7 Accuracy Assessment; 4.2.8 Time series Analysis; 5 Results; 5.1 Comparison of Topographic Corrections; 5.2 Class Separability; 5.3 Classification Accuracy; 5.3.1 Impact of the Classifier; 5.3.2 Impact of Topographic Correction and DEM; 5.4 Final LULC Maps; 5.5 Variable Importance; 5.6 Time Series Analysis; 5.6.1 Catchment-wide Analysis; 5.6.2 Height-specific Analysis; 5.6.3 Class-wise Analysis; 5.7 Summary & Interpretation of Results; 6 Discussion
6.1 Hypothesis 16.2 Hypothesis 2; 6.3 Hypothesis 3; 7 Conclusions & Outlook; References
Summary 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 Bodinger 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. 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 Target Groups Scientists, lecturers and students in the field of geology and ecology Geoscientists and Ecologists with a focus on remote sensing About the Author Christian Bodinger holds a M. Sc. in Physical Geography from the University of Tubingen, 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.
ISBN 9783658251208 (electronic bk.)
3658251204 (electronic bk.)
9783658251192 (print)
ISBN/ISSN 10.1007/978-3-658-25120-8
OCLC # 1083668635
Additional Format Print version: Bodinger, Christian Julian. Remote sensing of vegetation. Wiesbaden, Germany : Springer Spektrum, 2019 3658251190 9783658251192 (OCoLC)1079402156.

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