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Remote Sensing of Vegetation - Along a Latitudinal Gradient in Chile (Paperback, 1st ed. 2019) Loot Price: R1,521
Discovery Miles 15 210
Remote Sensing of Vegetation - Along a Latitudinal Gradient in Chile (Paperback, 1st ed. 2019): Christian Julian Boedinger

Remote Sensing of Vegetation - Along a Latitudinal Gradient in Chile (Paperback, 1st ed. 2019)

Christian Julian Boedinger

Series: BestMasters

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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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 Boedinger 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 Boedinger 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.

General

Imprint: Springer Spektrum
Country of origin: Germany
Series: BestMasters
Release date: 2019
First published: 2019
Authors: Christian Julian Boedinger
Dimensions: 210 x 148mm (L x W)
Format: Paperback
Pages: 108
Edition: 1st ed. 2019
ISBN-13: 978-3-658-25119-2
Categories: Books > Earth & environment > Geography > Physical geography > General
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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LSN: 3-658-25119-0
Barcode: 9783658251192

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