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Modelling of Forest Structure with Remote Sensing Data : Potential and Limits of Hyperspectral Information - Hannes Müller
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Hannes Müller:

Modelling of Forest Structure with Remote Sensing Data : Potential and Limits of Hyperspectral Information - Paperback

2013, ISBN: 3639473418

[EAN: 9783639473414], Neubuch, [PU: AV Akademikerverlag], nach der Bestellung gedruckt Neuware -Forest structure, e.g. the composition and distribution of tree species, is a key element f… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Modelling of Forest Structure with Remote Sensing Data - Hannes Mueller
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Hannes Mueller:

Modelling of Forest Structure with Remote Sensing Data - First edition

2013, ISBN: 9783639473414

Paperback

[ED: Kartoniert / Broschiert], [PU: AV Akademikerverlag], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mueller HannesHan… More...

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Modelling of Forest Structure with Remote Sensing Data - Hannes Mueller
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Hannes Mueller:
Modelling of Forest Structure with Remote Sensing Data - First edition

2013

ISBN: 9783639473414

Paperback

[ED: Kartoniert / Broschiert], [PU: AV Akademikerverlag], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mueller HannesHan… More...

Shipping costs:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Moluna GmbH
4
Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Müller, Hannes
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Müller, Hannes:
Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Paperback

2013, ISBN: 9783639473414

AV Akademikerverlag, Paperback, 92 Seiten, Publiziert: 2013-11-24T00:00:01Z, Produktgruppe: Book, 0.15 kg, Science, Nature & Maths, Subjects, Books, AV Akademikerverlag, 2013

Shipping costs:In stock. Lieferung von Amazon. (EUR 5.22) Amazon.co.uk
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Muller, Hannes:
Modelling of Forest Structure with Remote Sensing Data - Paperback

2013, ISBN: 3639473418

[EAN: 9783639473414], Neubuch, [PU: AV Akademikerverlag 2013-11], Books

NEW BOOK. Shipping costs: EUR 14.52 Chiron Media, Wallingford, United Kingdom [55661942] [Rating: 5 (von 5)]

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Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information

Forest structure, e.g. the composition and distribution of tree species, is a key element for characterizing ecological functions and ecological state of forest ecosystems. The aim of this master thesis was to model 15 forest structure measures of a mixed temperate forest in the Bavarian Forest National Park (Germany) with hyperspectral remote sensing data (HyMap). The findings indicated that hyperspectral data has high potential to identify forest structure even in heterogeneous mixed forests like the Bavarian Forest National Park. Forest structure measures were derived from vegetation surveys on 102 ground plots and served as dependent variables in a decision tree based random forest model. The independent variables were obtained from hyperspectral data in 7 m resolution, which was transformed by a minimum noise fraction rotation (MNF). With these two datasets random forest model performance on each forest structure measure was compared to model performance derived from literature. Furthermore, descriptive statistics, correlation analysis and ordination methods were used to discuss the results.

Details of the book - Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information


EAN (ISBN-13): 9783639473414
ISBN (ISBN-10): 3639473418
Hardcover
Paperback
Publishing year: 2013
Publisher: AV Akademikerverlag

Book in our database since 2015-04-06T13:04:30+01:00 (London)
Detail page last modified on 2023-08-02T14:12:18+01:00 (London)
ISBN/EAN: 9783639473414

ISBN - alternate spelling:
3-639-47341-8, 978-3-639-47341-4
Alternate spelling and related search-keywords:
Book author: hannes müller, mueller
Book title: information structure, hyperspectral remote sensing, limits, potential


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