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Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Hannes Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Hannes Müller:

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

2013, ISBN: 3639473418

Paperback, [EAN: 9783639473414], AV Akademikerverlag, AV Akademikerverlag, Book, [PU: AV Akademikerverlag], 2013-11-24, AV Akademikerverlag, 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., 13684, Remote Sensing & GIS, 227543, Computer Modelling, 173515, Engineering, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 75, Science & Math, 226680, Agricultural Sciences, 11242, Archaeology, 13439, Astronomy & Space Science, 226685, Behavioral Sciences, 13469, Biological Sciences, 13570, Chemistry, 13592, Earth Sciences, 14459, Environment, 3045861, Essays & Commentary, 13824, Evolution, 13837, Experiments, Instruments & Measurement, 13871, History & Philosophy, 13884, Mathematics, 14452, Nature & Ecology, 14545, Physics, 14603, Reference, 13640, Research, 13642, Science for Kids, 14631, Technology, 1000, Subjects, 283155, Books

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Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Hannes Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Hannes Müller:

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

2013, ISBN: 3639473418

Paperback, [EAN: 9783639473414], AV Akademikerverlag, AV Akademikerverlag, Book, [PU: AV Akademikerverlag], 2013-11-24, AV Akademikerverlag, 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., 13684, Remote Sensing & GIS, 227543, Computer Modelling, 173515, Engineering, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 75, Science & Math, 226680, Agricultural Sciences, 11242, Archaeology, 13439, Astronomy & Space Science, 226685, Behavioral Sciences, 13469, Biological Sciences, 13570, Chemistry, 13592, Earth Sciences, 14459, Environment, 3045861, Essays & Commentary, 13824, Evolution, 13837, Experiments, Instruments & Measurement, 13871, History & Philosophy, 13884, Mathematics, 14452, Nature & Ecology, 14545, Physics, 14603, Reference, 13640, Research, 13642, Science for Kids, 14631, Technology, 1000, Subjects, 283155, Books

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Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Hannes Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Hannes Müller:
Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Taschenbuch

2013

ISBN: 3639473418

Paperback, [EAN: 9783639473414], AV Akademikerverlag, AV Akademikerverlag, Book, [PU: AV Akademikerverlag], 2013-11-24, AV Akademikerverlag, 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., 13684, Remote Sensing & GIS, 227543, Computer Modelling, 173515, Engineering, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 75, Science & Math, 226680, Agricultural Sciences, 11242, Archaeology, 13439, Astronomy & Space Science, 226685, Behavioral Sciences, 13469, Biological Sciences, 13570, Chemistry, 13592, Earth Sciences, 14459, Environment, 3045861, Essays & Commentary, 13824, Evolution, 13837, Experiments, Instruments & Measurement, 13871, History & Philosophy, 13884, Mathematics, 14452, Nature & Ecology, 14545, Physics, 14603, Reference, 13640, Research, 13642, Science for Kids, 14631, Technology, 1000, Subjects, 283155, Books

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Modelling of Forest Structure with Remote Sensing Data - Müller, Hannes
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Müller, Hannes:
Modelling of Forest Structure with Remote Sensing Data - Taschenbuch

2013, ISBN: 9783639473414

[ED: Softcover], [PU: Av Akademikerverlag], 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. 2013. 92 S. 220 mm Versandfertig in 3-5 Tagen, Neuware, gewerbliches Angebot

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Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Hannes Müller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Hannes Müller:
Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information - Taschenbuch

2013, ISBN: 3639473418

Paperback, [EAN: 9783639473414], AV Akademikerverlag, AV Akademikerverlag, Book, [PU: AV Akademikerverlag], 2013-11-24, AV Akademikerverlag, 57, Science & Nature, 277886, Astronomy & Cosmology, 277912, Biological Sciences, 278004, Chemistry, 278028, Earth Sciences & Geography, 922964, Education, 278115, Engineering & Technology, 278080, Environment & Ecology, 922480, Experiments, Instruments & Measurements, 277859, Food & Farming, 922508, History & Philosophy, 278320, Mathematics, 922532, Medicine, 278392, Nature, 278409, Physics, 922868, Popular Science, 922960, Reference, 922866, Research & Development, 758860, Scientists & Engineers, 278454, Veterinary Science, 1025612, Subjects, 266239, Books

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

Müller, Hannes

Titel:

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

ISBN-Nummer:

9783639473414

Detailangaben zum Buch - Modelling of Forest Structure with Remote Sensing Data: Potential and Limits of Hyperspectral Information


EAN (ISBN-13): 9783639473414
ISBN (ISBN-10): 3639473418
Taschenbuch
Erscheinungsjahr: 2013
Herausgeber: AV Akademikerverlag

Buch in der Datenbank seit 06.04.2015 14:04:30
Buch zuletzt gefunden am 15.09.2016 01:24:19
ISBN/EAN: 9783639473414

ISBN - alternative Schreibweisen:
3-639-47341-8, 978-3-639-47341-4

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