Time series generation and classification of MODIS data for land cover mapping [Elektronische Ressource] / vorgelegt von René Roland Colditz

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• Astronomie

Informations

• Publié par: julius-maximilians-universitat_wurzburg
• Publié le: 01 janvier 2008
• Nombre de lectures: 16
• Langue: English
• Poids de l'ouvrage: 8 Mo

Extrait

Time Series Generation and
Classification of MODIS Data for
Land Cover Mapping


Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades
der Julius-Maximilians-Universität Würzburg


vorgelegt von
René Roland Colditz


aus Würzburg


Würzburg, September 2007


































Eingereicht am: 04. September 2007


1. Gutachter: Prof. Dr. Stefan Dech
2. Gutachter: Prof. Dr. Matthew C. Hansen


1. Prüfer: Prof. Dr. Stefan Dech
2. Prüfer: Prof. Dr. Jürgen Rauh

Tag der Disputation: 16. Januar 2008 Acknowledgements
Many people have helped to make this dissertation possible and supported my work during
the last years. First and foremost, I am gratefully indebted to Prof. Dr. Stefan Dech (German
Aerospace Center - DLR and University of Würzburg - UW), who provided the unique
opportunity for a dedicated Ph.D. research with a topic almost free of choice in an inspiring
environment. Besides providing these nearly perfect physical and intellectual conditions, I
would like to thank Prof. Dech for his continuous support and helpful scientific advice. I am
also thankful to Prof. Dr. Matthew Hansen (South Dakota State University, Brookings) for a
host of trend-setting advice for my research and for being the second reviewer of my
dissertation.
I am very grateful to Dr. Michael Schmidt, who provided continuous support during my Ph.D.
period. As my mentor Dr. Schmidt provided several opportunities, opened doors thanks to his
far-reaching connections, and gave me much helpful advice for my research and for the time
beyond the Ph.D. phase.
Writing a thesis in a foreign language is a particular challenge and requires corrections and
advice from several people. I gratefully acknowledge all my proof-readers, who have devoted
a significant portion of their time for reading my work. I want to express my deep gratitude in
particular to Prof. Dr. Detlef Busche, Dr. Christopher Conrad, and Ursula Geßner (all UW)
for reading large portions of this thesis. Further proof-reading of selected parts was done by
Susan Giegerich (DLR), Dr. Martin Herold (University of Jena), and Dr. Thilo Wehrmann
(DLR).
Since a significant portion of my study is on South Africa, I had the opportunity to stay in this
beautiful country for two months. I am very thankful to Dr. Richard Knight (University of the
Western Cape - UWC, Cape Town) for his help in arranging the research stay and providing
physical support as well as the contact with several counterparts. My thanks are also due to
Johan Malherbe, Terry Newby, and Dawie van Zyl, (Agricultural Research Council) for
providing the opportunity to visit their research facility in Pretoria. I also want to thank Prof.
Dr. Bruce Hewitson and Neil MacKellar (University of Cape Town) as well as Wolfgang
Lück (Council for Scientific and Industrial Research - CSIR) for fruitful discussions. Very
special thanks to Gene and Russell Main (UWC) for their warm welcome and their support
during my stay. Another significant visit resulting in a range of new ideas was that to the
South Dakota State University (SDSU). In addition to Prof. Hansen, my thanks are due to this
research group at the SDSU and Prof. Dr. David Roy in particular for their very helpful
discussions and advice. VI Acknowledgements
Working in a remote-sensing research group at the Department of Geography (at UW) in
close relation to the German Remote Sensing Data Center (DFD at DLR) provided unique
opportunities for my Ph.D. research. On the one hand, my research was integrated in the tasks
and on-going projects of the DFD, and I have benefited from the knowledge of several
colleagues. I want to express my gratitude to Martin Bachmann, Dr. Kurt Günther, Manfred
Keil, Dr. Gerd Rücker, Dr. Günter Strunz, Dr. Thilo Wehrmann, and Dr. Klaus Wisskirchen.
On the other hand, I have been able to work in a personally and spiritually pleasant academic
environment, and, even more important, in a growing and very inspiring research group of
fantastic colleagues. Besides science, this group also provided significant moral support, in
particular during the writing phase. Therefore, I am thankful for having been a member of this
remote-sensing unit. The entire current team - Dr. Christopher Conrad, Dr. Thomas Esch,
Ursula Geßner, Christian Hüttich, Tanja Kraus, Dr. Tobias Landmann, Miriam Machwitz,
Andreas Schenk, Gunter Schorcht, Matthias Schramm, Michael Thiel, Martin (Oggi)
Wegmann, and Noellie Yao - each had their share in helping me to complete my study.
Former helpful colleagues at the UW were Dr. Christoph Schultz (DLR) and Dr. Melanie
Vogel (CSIR). Several students also contributed to my studies; in particular my long-term
research assistant Martin Schmidt.
Very special thanks are to my family, in particular to my parents Annerose and Dr. Roland
Colditz. They enabled my education and gave me their encouragement. This thesis could not
have been completed without their continuous moral and financial support.
Table of Contents

Acknowledgements ................................................................................................................... V
Table of Contents ....................................................................................................................VII
Extended Abstract......IX
Erweiterte Zusammenfassung ................................................................................................ XV
List of Figures...................................................................................................................... XXV
List of Tables...................................................................................................................... XXXI
Glossary.............................................................................................................................XXXV

Chapter 1: Introduction........................................................................................................... 1
1.1. State of the Art ............................................................................................................ 3
1.2. Scientific Goals ......................................................................................................... 10
1.3. Outline of Thesis ....................................................................................................... 12

Chapter 2: Sensors Datasets and Study Sites....................................................................... 13
2.1. Sensors Suitable for Time Series Records ................................................................ 14
2.2. MODIS ...................................................................................................................... 16
2.2.1. Platforms and Instrument ............................................................................. 17
2.2.2. MODIS Land Datasets .................................................................................. 19
2.3. Study Sites and Land Cover Datasets........................................................................ 27
2.3.1. Physical Setting............................................................................................. 27
2.3.2. Land Cover Datasets .................................................................................... 31

Chapter 3: Time Series Compilation 37
3.1. Theoretical Background ............................................................................................ 38
3.1.1. General Considerations on Interpolation ...................................................... 39
3.1.2. Approaches to Time Series Generation......................................................... 40
3.1.3. Time Series Comparison and Validation 45
3.2. Time Series Generation of MODIS Data: TiSeG 46
3.2.1. The Quality Assessment Science Data Set.................................................... 47
3.2.2. Data Availability Indices............................................................................... 49
3.2.3. Software Functionalities................................................................................ 50
3.2.4. Software Design............................................................................................ 54
3.2.5. Software Performance................................................................................... 55
VIII Table of Contents
3.3. Time Series Analysis .................................................................................................57
3.3.1. Analysis of Temporal Interpolation Functions..............................................58
3.3.2. Comparison between Improved and Original Time Series ...........................62
3.3.3. Differences between Collection 4 and 5........................................................80
3.3.4. Regional Time Series Analysis of South Africa............................................86

Chapter 4: Automated Time Series Classificatio