Remote Sensing of Vegetation

Along a Latitudinal Gradient in Chile

Christian Julian Bödinger (Autor)

Buch | Softcover

XXIII, 108 Seiten

2019
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-25119-2 (ISBN)

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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.

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.

Erscheinungsdatum	07.02.2019
Reihe/Serie	BestMasters
Zusatzinfo	XXIII, 108 p. 1 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	181 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
Schlagworte	Chile • ecozones of Chile • Environmental Geography • Latitudinal gradient • LULC • machine learning • maps of land use and land cover • NDVI • Normalized Difference Vegetation Index • Remote Sensing • Remote Sensing/Photogrammetry • Satellite Imagery • Time Series Analysis • Vegetation monitoring
ISBN-10	3-658-25119-0 / 3658251190
ISBN-13	978-3-658-25119-2 / 9783658251192
Zustand	Neuware