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

Müller, Hannes

 
9783639473414: Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information
Couverture souple
ISBN 10 : 3639473418 ISBN 13 : 9783639473414
Editeur : AV Akademikerverlag, 2013

Synopsis

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.

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Éditeur
AV Akademikerverlag
Date d'édition
2013
Langue
anglais
ISBN 10 
3639473418
ISBN 13 
9783639473414
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
non disponible