Urban land use detection and change using an enhanced monitoring system with remote sensing tools and GIS in the Euregio Meuse-Rhine area [Elektronische Ressource] / vorgelegt von Carsten Mönnig

Moc

Sujets

• Astronomie

Informations

• Publié par: rheinisch-westfalischen_technischen_hochschule_-rwth-_aachen
• Publié le: 01 janvier 2007
• Nombre de lectures: 98
• Langue: Deutsch
• Poids de l'ouvrage: 65 Mo

Extrait

Urban land use detection and change using an enhanced monitoring system
with remote sensing tools and GIS in the EUREGIO Meuse-Rhine area




Von der Fakultät für Georessourcen und Materialtechnik der Rheinisch-Westfälischen
Technischen Hochschule Aachen

zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften

genehmigte Dissertation




vorgelegt von Diplom-Geograph

Carsten Mönnig

aus Northeim






Berichter: Univ.-Prof. Dr. rer. nat. Frank Lehmkuhl
Priv.-Doz. Dr. phil. Wolfgang Römer

Tag der mündlichen Prüfung: 12. Januar 2007

(Ausschließlich für elektronische Veröffentlichung bestimmt)
Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar
Table of Contents
List of Figures.......................................................................................................................... iv
List of Tables............................................................................................................................ vi
List of Diagrams .....................................................................................................................vii
Abbreviations.........................................................................................................................viii
Part I Introduction and Study Area ............................................................................... 9
1 Introduction ............................................................................................................ 9
2 Study Area 12
2.1 Geology and Natural Setting............................................................................ 13
2.2 Climate ............................................................................................................. 16
2.3 Vegetation ........................................................................................................ 17
3 Change Detection of Urban Areas ....................................................................... 20
Part II Methodology and Sensors................................................................................... 21
1 Methodology 21
2 Sensors ................................................................................................................. 24
2.1 Landsat 5/7 TM/ETM+ Series.......................................................................... 24
2.2 ASTER Sensor ................................................................................................. 25
2.3 QuickBird Sensor ............................................................................................. 27
2.4 Aerial Photographs........................................................................................... 29
3 Data analysis Landsat 30
3.1 Landsat TM/ETM+ Scene Analysis................................................................. 30
3.1.1 Spectral Channels..................................................................................... 30
3.1.2 Indices ...................................................................................................... 38
3.2 Texture Analysis .............................................................................................. 44
3.3 Classification Methods 51
3.3.1 Overview of Algorithms........................................................................... 51
3.3.2 Unsupervised Classification of Landsat Data .......................................... 52
3.3.3 Principal Component Analysis................................................................. 60
3.3.4 Supervised Classification of Landsat ETM+ Data................................... 62
3.3.5 Training Areas.......................................................................................... 67
3.4 Accuracy Assessment....................................................................................... 70
3.4.1 Error Matrix.............................................................................................. 70
3.4.2 Kappa Coefficient..................................................................................... 72
3.4.3 Visual Accuracy Assessment ................................................................... 73
3.4.4 Classification Result TM 1988 Scene ............................................................. 75
3.4.5 Filtering .................................................................................................... 78
3.5 Fusing Images .................................................................................................. 79
ii
4 Data Analysis ASTER.......................................................................................... 83
4.1 ASTER Scene Analysis.................................................................................... 83
4.2 Texture Analysis .............................................................................................. 84
4.3 NDVI................................................................................................................ 85
4.4 Supervised Classification ................................................................................. 86
4.5 Accuracy Assessment....................................................................................... 87
4.5.1 Error Matrix 87
4.5.2 Visual Accuracy Assessment ................................................................... 88
5 Comparison of Landsat ETM+, Fused ETM+ and ASTER Classification.......... 91
6 Data Analysis Aachen Aerial Photograph............................................................ 94
6.1 Aachen Aerial Photograph Scene Analysis...................................................... 94
6.2 Texture Analysis .............................................................................................. 95
6.3 NDVI................................................................................................................ 96
6.4 Supervised Classification ................................................................................. 96
6.5 Accurracy Assessment ..................................................................................... 98
6.5.1 Error Matrix 98
6.5.2 Visual Accuracy Assessment ................................................................... 99
7 Data Analysis QuickBird ................................................................................... 100
7.1 QuickBird Liège Scene Analysis 100
7.2 Texture Analysis ............................................................................................ 101
7.3 NDVI.............................................................................................................. 102
7.4 Supervised Classification ............................................................................... 103
7.5 Accuracy Assessment..................................................................................... 104
7.5.1 Error Matrix 104
7.5.2 Visual Accuracy assessment .................................................................. 105
8 Data Analysis Maastricht QuickBird Scene....................................................... 106
8.1 QuickBird Maastricht Scene Analysis ........................................................... 106
8.2 Texture Analysis ............................................................................................ 107
8.3 NDVI 108
8.4 Supervised Classification ............................................................................... 108
8.5 Accuracy Assessment..................................................................................... 109
8.5.1 Error Matrix 109
8.5.2 Visual Accuracy Assessment ................................................................. 110
9 Data Analysis Tongeren QuickBird Scene......................................................... 111
9.1 QuickBird Tongeren Scene Analysis ............................................................. 111
9.2 Texture Analysis ............................................................................................ 112
9.3 NDVI.............................................................................................................. 112
9.4 Supervised Classification ............................................................................... 113
9.5 Accuracy Assessment..................................................................................... 113
9.5.1 Error Matrix 113
9.5.2 Visual Accuracy Assessment ................................................................. 115
iii
Part III Results................................................................................................................. 115
1 Ancillary Data .................................................................................................... 115
1.1 TK 1:100000 Topographic Map of Germany ................................................ 116
1.2 Topographic Maps of Belgium and the Netherlands ..................................... 117
1.3 Topographic Information Systems ................................................................. 119
1.4 CORINE Data ................................................................................................ 120
2 Effectiveness of Met