Monitoring of the biophysical status of vegetation: using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Kiel
Geograph. Inst. der Univ.
2010
|
| Schriftenreihe: | Kieler geographische Schriften
121 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zsfassung in dt. Sprache |
| Beschreibung: | XXII, 130 S. Ill., graph. Darst. |
| ISBN: | 9783923887637 |
Internformat
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| 100 | 1 | |a Oppelt, Natascha |d 1970- |e Verfasser |0 (DE-588)124192475 |4 aut | |
| 245 | 1 | 0 | |a Monitoring of the biophysical status of vegetation |b using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model |c Natascha Oppelt |
| 264 | 1 | |a Kiel |b Geograph. Inst. der Univ. |c 2010 | |
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Datensatz im Suchindex
| _version_ | 1804142975076270080 |
|---|---|
| adam_text | Titel: Monitoring of the biophysical status of vegetation
Autor: Oppelt, Natascha
Jahr: 2010
Ill
Content
Foreword I
Table of content III
List of figures XII
List of tables XI
German summary (Zusammenfassung) XIII
1 Introduction 1
2 Photosynthesis and carbon assimilation 7
2.1 Chlorophyll and photosynthesis 8
2.2 Chlorophyll in the electromagnetic spectrum 10
2.3 Carbon assimilation 11
2.3.1 The Calvin cycle 11
2.3.2 The C4 pathway 13
2.3.3 C3 versus C4 plants 14
2.4 The C3 plant wheat (Triticum spp,) 14
2.5 The C4 plant maize (Zea mays L.) 15
3 Test area and field measurements 17
3.1 Test area Gilching 17
3.1.1 Geomorphology /Geology 18
3.1.2 Land cover 19
3.1.3 Climate 20
3.1.4 Test fields 23
3.2 Field campaigns and acquired data 24
3.2.1 Plant parameter 24
3.2.1.1 Phenological status 25
3.2.1.2 Plant height 26
3.2.1.3 Canopy density 26
3.2.1.4 Biomass 27
3.2.1.5 Chlorophyll content 28
3.2.1.6 Leaf area 29
3.3 Field spectrometry 30
3.4 Photographic documentation 32
3.5 Sampling results 32
3.5.1 Wheat 33
3.5.1.1 Sampling results - chlorophyll contents per mass 33
3.5.1.2 Sampling results - chlorophyll contents per area ground surface 35
IV
3.5.2 Maize 37
3.5.2.1 Sampling results - chlorophyll contents per mass 37
3.5.2.2 Sampling results - chlorophyll contents per unit ground surface 39
3.6 Evaluation of the results 41
4 Remote sensing data 43
4.1 Multi-angular remote sensing 43
4.2 CHRIS/PROBA-1 45
4.2.1 Acquired data 47
4.2.2 Radiometrie processing 48
4.2.3 Geometric processing 50
4.3 AVIS 51
4.3.1 Acquired data 53
4.3.2 Radiometrie processing 54
4.3.3 Geometric processing 55
5 Monitoring of canopy chlorophyll status 57
5.1 Reflectance anisotropy of vegetation canopies 57
5.2 Derivation of top-of-canopy chlorophyll 60
5.2.1 Existing approaches 60
5.2.2 The chlorophyll absorption integral CAI 62
5.3 Derivation of sun and shade chlorophyll using CHRIS data 63
5.3.1 Wheat 64
5.3.2 Maize 67
5.3.3 Evaluation of the results 69
5.4 Assessment of chlorophyll distribution maps 70
5.5 Transfer of results to AVIS data 71
6 Vegetation biophysics in the physically-based SVAT model PROMET 75
6.1 Modelling of the C3 pathway 76
6.2 Modelling of the C4 pathway 78
6.3 Input data 79
6.4 PROMET results 80
6.4.1 Wheat 2004 80
6.4.2 Wheat 2005 82
6.4.3 Maize 2004 84
6.4.4 Maize 2005 86
6.5 Concluding remarks 87
7 Assimilation of remotely sensed chlorophyll in PROMET 89
7.1 Chlorophyll and leaf absorptance 89
7.2 Results using dynamised leaf absorptance 91
7.2.1 Wheat 2004 91
7.2.2 Wheat 2005 96
7.2.3 Maize 2004 100
7.2.4 Maize 2005 103
8 Synthesis 107
8.1 Distribution of chlorophyll within vegetation canopies 107
8.2 Monitoring of vertical chlorophyll distribution using hyperspectral,
multi-angular remote sensing 108
8.3 Sensor dependency of the results 109
8.4 Chlorophyll and quantum yield 110
8.5 Assimilation of spatially distributed chlorophyll data in PROMET 110
9 References 113
Appendix
List of symbols, variables and constants 125
List of plant and soil parameters used in PROMET 127
Glossary 129
|
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| spelling | Oppelt, Natascha 1970- Verfasser (DE-588)124192475 aut Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model Natascha Oppelt Kiel Geograph. Inst. der Univ. 2010 XXII, 130 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Kieler geographische Schriften 121 Zsfassung in dt. Sprache Zugl.: München, Univ., Habil.-Schr., 2009 Vegetation (DE-588)4187458-4 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Biophysik (DE-588)4006891-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Vegetation (DE-588)4187458-4 s Biophysik (DE-588)4006891-2 s Modell (DE-588)4039798-1 s Fernerkundung (DE-588)4016796-3 s DE-604 Kieler geographische Schriften 121 (DE-604)BV035362016 121 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020348052&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Oppelt, Natascha 1970- Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model Kieler geographische Schriften Vegetation (DE-588)4187458-4 gnd Fernerkundung (DE-588)4016796-3 gnd Modell (DE-588)4039798-1 gnd Biophysik (DE-588)4006891-2 gnd |
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| title | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model |
| title_auth | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model |
| title_exact_search | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model |
| title_full | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model Natascha Oppelt |
| title_fullStr | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model Natascha Oppelt |
| title_full_unstemmed | Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model Natascha Oppelt |
| title_short | Monitoring of the biophysical status of vegetation |
| title_sort | monitoring of the biophysical status of vegetation using multi angular hyperspectral remote sensing for the optimization of a physically based svat model |
| title_sub | using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model |
| topic | Vegetation (DE-588)4187458-4 gnd Fernerkundung (DE-588)4016796-3 gnd Modell (DE-588)4039798-1 gnd Biophysik (DE-588)4006891-2 gnd |
| topic_facet | Vegetation Fernerkundung Modell Biophysik Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020348052&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035362016 |
| work_keys_str_mv | AT oppeltnatascha monitoringofthebiophysicalstatusofvegetationusingmultiangularhyperspectralremotesensingfortheoptimizationofaphysicallybasedsvatmodel |