Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
2018
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | xiv, 118 Seiten Illustrationen, Diagramme, Karten |
Internformat
MARC
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245 | 1 | 0 | |a Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning |c Ron Hagensieker |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Hagensieker, Ron |
author_GND | (DE-588)1172215936 |
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genre_facet | Hochschulschrift |
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geographic_facet | Bundesstaat Pará Brasilien Bundesstaat Mato Grosso |
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illustrated | Illustrated |
indexdate | 2024-11-25T15:02:04Z |
institution | BVB |
language | English |
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owner | DE-188 |
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physical | xiv, 118 Seiten Illustrationen, Diagramme, Karten |
publishDate | 2018 |
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publishDateSort | 2018 |
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spelling | Hagensieker, Ron Verfasser (DE-588)1172215936 aut Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning Ron Hagensieker Berlin 2018 xiv, 118 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Dissertation Freie Universität Berlin 2018 Methode (DE-588)4038971-6 gnd rswk-swf Rodung (DE-588)4178274-4 gnd rswk-swf Entwaldung (DE-588)4286698-4 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Bundesstaat Pará (DE-588)4115845-3 gnd rswk-swf Brasilien (DE-588)4008003-1 gnd rswk-swf Bundesstaat Mato Grosso (DE-588)4279239-3 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Brasilien (DE-588)4008003-1 g Bundesstaat Pará (DE-588)4115845-3 g Bundesstaat Mato Grosso (DE-588)4279239-3 g Rodung (DE-588)4178274-4 s Entwaldung (DE-588)4286698-4 s Fernerkundung (DE-588)4016796-3 s Maschinelles Lernen (DE-588)4193754-5 s Methode (DE-588)4038971-6 s DE-188 Erscheint auch als Online-Ausgabe Hagensieker, Ron Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning (DE-604)BV045231337 https://refubium.fu-berlin.de/handle/fub188/23066 Resolving-System kostenfrei Volltext |
spellingShingle | Hagensieker, Ron Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning Methode (DE-588)4038971-6 gnd Rodung (DE-588)4178274-4 gnd Entwaldung (DE-588)4286698-4 gnd Fernerkundung (DE-588)4016796-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4038971-6 (DE-588)4178274-4 (DE-588)4286698-4 (DE-588)4016796-3 (DE-588)4193754-5 (DE-588)4115845-3 (DE-588)4008003-1 (DE-588)4279239-3 (DE-588)4113937-9 |
title | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning |
title_auth | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning |
title_exact_search | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning |
title_full | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning Ron Hagensieker |
title_fullStr | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning Ron Hagensieker |
title_full_unstemmed | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning Ron Hagensieker |
title_short | Mapping a Brazilian deforestation frontier using multi-temporal TerraSAR-X data and supervised machine learning |
title_sort | mapping a brazilian deforestation frontier using multi temporal terrasar x data and supervised machine learning |
topic | Methode (DE-588)4038971-6 gnd Rodung (DE-588)4178274-4 gnd Entwaldung (DE-588)4286698-4 gnd Fernerkundung (DE-588)4016796-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Methode Rodung Entwaldung Fernerkundung Maschinelles Lernen Bundesstaat Pará Brasilien Bundesstaat Mato Grosso Hochschulschrift |
url | https://refubium.fu-berlin.de/handle/fub188/23066 |
work_keys_str_mv | AT hagensiekerron mappingabraziliandeforestationfrontierusingmultitemporalterrasarxdataandsupervisedmachinelearning |