Remote Sensing of Vegetation
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-25119-2 (ISBN)
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.
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 |
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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 |
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