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and comparison of changes between 1985 and 2003 are summarised in Chapter 5.Changes between satellite derived glacier areas and glaciers areas of the AustrianGlacier Inventories of 1969 and 1997 are discussed in part 2 of Chapter 5. In Chapter6 the methods used and the results are summarised.4
Chapter 2The GLIMS - Project and RelevantGlacier CharacteristicsIn the rst part of this chapter the project GLIMS and its principles (structure,algorithm, transfer specication) are described. The second part gives a brief introductionon glacier characteristics that are of relevance for this work.2.1 GLIMS - Global Land Ice Measurements fromSpace2.1.1 What GLIMS is AboutGLIMS is a worldwide project to monitor and measure changes in the global landice using remote sensing methods. The project started in 1995.Primary data base for GLIMS are images of the ASTER (Advanced SpaceborneThermal Emission and reection Radiometer) instrument onboard the EOS Terrasatellite. Additional satellite data used in this project are from the Landsat - satellitesand the Radarsat system.The goal of GLIMS is to compile an up to date inventory of glaciers with standardisedparameters ( e.g. area changes, transient snow lines, ow velocity) coveringas many glacier areas of the world as possible. The inventory is stored in a GISdatabase located at the NSIDC (National Snow and Ice Data Centre). The data ofthe inventory are freely accessible via the internet (http://www.glims.org).5
Page 1: Changes in Area of Stubai Glaciersa
Page 5 and 6: ContentsAbstractContents1 Introduct
Page 7 and 8: Chapter 1IntroductionMeasurements o
Page 9: Figure 1.2: Stubaital area in a clo
Page 13 and 14: 2.1. GLIMS - GLOBAL LAND ICE MEASUR
Page 19 and 20: 2.2. GLACIER CHARACTERISTICS 13glac
Page 21 and 22: 2.2. GLACIER CHARACTERISTICS 15Glac
Page 23 and 24: 2.2. GLACIER CHARACTERISTICS 17Figu
Page 25: 2.3. THE USE OF REMOTE SENSING IN G
Page 28 and 29: 22 CHAPTER 3. DATABASEthe actual st
Page 30 and 31: 24 CHAPTER 3. DATABASEBand Waveleng
Page 32 and 33: 26 CHAPTER 3. DATABASE3.2 Digital E
Page 34 and 35: 28 CHAPTER 3. DATABASEAlpeiner Fern
Page 36 and 37: 30 CHAPTER 4. METHODS AND ALGORITHM
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5.3. COMPARISON WITH THE AUSTRIAN G
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Chapter 6Summary and ConclusionThe
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2003 is 22% what supports the assum
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66 BIBLIOGRAPHYfrom the ground and
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68 BIBLIOGRAPHY
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70 APPENDIX A. SOFTWARE
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72 APPENDIX B. TABLESRiver Number G
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74 APPENDIX B. TABLESWGS-CodeFL NoN
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76 APPENDIX B. TABLESWGS-Code Name
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82 APPENDIX B. TABLES
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84 APPENDIX C. EASI SCRIPTSFILE - D
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86 APPENDIX C. EASI SCRIPTSDebris!*
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88 APPENDIX D. EXAMPLE OF TRANSFER
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