Verfügbarkeit: Remote sensing of vegetation | Technische Universität München

Remote sensing of vegetation: along a latitudinal gradient in Chile

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Bibliographische Detailangaben
Beteilige Person:	Bödinger, Christian Julian (VerfasserIn)
Weitere beteiligte Personen:	Hochschild, Volker 1963- (VerfasserIn eines Geleitwortes)
Format:	Hochschulschrift/Dissertation Buch
Sprache:	Englisch
Veröffentlicht:	Wiesbaden, Germany Springer Spektrum [2019]
Schriftenreihe:	BestMasters Extras Online
Schlagwörter:	Vegetation Geomorphologie Landschaftsentwicklung Satellitenfernerkundung Chile LULC Latitudinal gradient Machine learning NDVI Normalized Difference Vegetation Index Remote sensing Time series analysis Vegetation monitoring ecozones of Chile maps of land use and land cover satellite imagery Hochschulschrift
Links:	http://deposit.dnb.de/cgi-bin/dokserv?id=c295ed2591bf497ca98999bb5f101a34&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ https://d-nb.info/1173348719/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032231711&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XXII, 108 Seiten Illustrationen, Diagramme, Karten 21 cm, 182 g
ISBN:	9783658251192 3658251190

Internformat

MARC


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Datensatz im Suchindex

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adam_text	TABLE OF CONTENTS FOREWORD ...................................................................................................... V ACKNOWLEDGEMENTS ................................................................................... VII INTRODUCTION OF THE WORK GROUP ............................................................... IX LIST OF FIGURES .......................................................................................... XIII LIST OF TABLES ......................................................................................... XVII ABBREVIATIONS ........................................................................................... XIX ABSTRACT .................................................................................................... XXI ZUSAMMENFASSUNG ................................................................................ XXIII 1 INTRODUCTION ................................................................................................. 1 2 STATE OF RESEARCH ........................................................................................ 3 2.1 THE EARTHSHAPE PROGRAM .................................................................... 3 2.2 PREVIOUS WORK & RESEARCH GAPS ......................................................4 2.3 STUDY OBJECTIVES ............................................................................... 5 3 STUDY AREAS .................................................................................................. 9 3.1 PAN DE AZUCAR ................................................................................ 1 1 3.2 SANTA GRACIA ..................................................................................... 12 3.3 LA CAMPANA ...................................................................................... 14 3.4 NAHUELBUTA ....................................................................................... 16 4 DATA & METHODS ........................................................................................ 19 4.1 DATA .................................................. 19 4.1.1 SENTINEL OPTICAL AND RADAR DATA ........................................ 19 4.1.2 TANDEM-X DEM .............................................................. 21 4.1.3 TRAINING & VALIDATION DATA ................................................22 4.1.4 LANDSAT SURFACE REFLECTANCE ............................................ 24 XII TABLE OF CONTENTS 4.2 METHODS .......................................................................................... 25 4.2.1 SENTINEL PREPROCESSING ....................................................... 26 4.2.2 DERIVATION OF TERRAIN VARIABLES ........................................ 27 4.2.3 GLCM ................................................................................ 28 4.2.4 SPECTRAL VEGETATION INDICES .............................................. 30 4.2.5 LAND COVER CLASSES ........................................................... 32 4.2.6 MACHINE LEARNING .............................................................. 34 4.2.7 ACCURACY ASSESSMENT ........................................................36 4.2.8 TIME SERIES ANALYSIS .......................................................... 38 5 RESULTS ....................................................................................................... 41 5.1 COMPARISON OF TOPOGRAPHIC CORRECTIONS ....................................... 41 5.2 CLASS SEPARABILITY .............................................................................44 5.3 CLASSIFICATION ACCURACY .................................................................. 45 5.3.1 IMPACT OF THE CLASSIFIER ...................................................... 45 5.3.2 IMPACT OF TOPOGRAPHIC CORRECTION AND DEM .................. 47 5.4 FINAL LULC MAPS ........................................................................... 51 5.5 VARIABLE IMPORTANCE ....................................................................... 62 5.6 TIME SERIES ANALYSIS ...................................................................... 66 5.6.1 CATCHMENT-WIDE ANALYSIS ................................................... 68 5.6.2 HEIGHT-SPECIFIC ANALYSIS .................................................... 71 5.6.3 CLASS-WISE ANALYSIS ............................................................ 74 5.7 SUMMARY & INTERPRETATION OF RESULTS ............................................ 77 6 DISCUSSION ....................................................................................... 83 6.1 HYPOTHESIS 1 .................................................................................... 83 6.2 HYPOTHESIS 2 .................................................................................... 88 6.3 HYPOTHESIS 3 .................................................................................... 91 7 CONCLUSIONS & OUTLOOK ............................................................................ 97 REFERENCES ......................................................................................................... 99
any_adam_object	1
author	Bödinger, Christian Julian
author2	Hochschild, Volker 1963-
author2_role	aui
author2_variant	v h vh
author_GND	(DE-588)1165813998 (DE-588)1047549123
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dewey-search	551.410983
dewey-sort	3551.410983
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discipline	Geologie / Paläontologie Geographie
format	Thesis Book
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spellingShingle	Bödinger, Christian Julian Remote sensing of vegetation along a latitudinal gradient in Chile Vegetation (DE-588)4187458-4 gnd Geomorphologie (DE-588)4130684-3 gnd Landschaftsentwicklung (DE-588)4034348-0 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd
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title	Remote sensing of vegetation along a latitudinal gradient in Chile
title_auth	Remote sensing of vegetation along a latitudinal gradient in Chile
title_exact_search	Remote sensing of vegetation along a latitudinal gradient in Chile
title_full	Remote sensing of vegetation along a latitudinal gradient in Chile Christian Julian Bödinger ; with a foreword by Prof. Dr. rer. nat. Volker Hochschild
title_fullStr	Remote sensing of vegetation along a latitudinal gradient in Chile Christian Julian Bödinger ; with a foreword by Prof. Dr. rer. nat. Volker Hochschild
title_full_unstemmed	Remote sensing of vegetation along a latitudinal gradient in Chile Christian Julian Bödinger ; with a foreword by Prof. Dr. rer. nat. Volker Hochschild
title_short	Remote sensing of vegetation
title_sort	remote sensing of vegetation along a latitudinal gradient in chile
title_sub	along a latitudinal gradient in Chile
topic	Vegetation (DE-588)4187458-4 gnd Geomorphologie (DE-588)4130684-3 gnd Landschaftsentwicklung (DE-588)4034348-0 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd
topic_facet	Vegetation Geomorphologie Landschaftsentwicklung Satellitenfernerkundung Chile Hochschulschrift
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