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Remote sensing of vegetation = along...

Bodinger, Christian Julian.

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Remote sensing of vegetation = along a latitudinal gradient in Chile /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Remote sensing of vegetation/ by Christian Julian Bodinger.
其他題名:	along a latitudinal gradient in Chile /
作者:	Bodinger, Christian Julian.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2019.,
面頁冊數:	xxiii, 108 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Geoinformatics. -
電子資源:	https://doi.org/10.1007/978-3-658-25120-8
ISBN:	9783658251208

Remote sensing of vegetation = along a latitudinal gradient in Chile /
Bodinger, Christian Julian.

Remote sensing of vegetationalong a latitudinal gradient in Chile /[electronic resource] :by Christian Julian Bodinger. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - xxiii, 108 p. :ill., digital ;24 cm. - BestMasters,2625-3577. - BestMasters..

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.

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

Standard No.: 10.1007/978-3-658-25120-8doiSubjects--Topical Terms:

3216881
Geoinformatics.

LC Class. No.: QK46.5.R44 / B865 2019

Dewey Class. No.: 580.285

Remote sensing of vegetation = along a latitudinal gradient in Chile /
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