Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
2014
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 1 Online-Ressource (XIV, 141 S.) Ill., graph. Darst. |
Internformat
MARC
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Datensatz im Suchindex
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any_adam_object | |
author | Okujeni, Akpona |
author_GND | (DE-588)1064100031 |
author_facet | Okujeni, Akpona |
author_role | aut |
author_sort | Okujeni, Akpona |
author_variant | a o ao |
building | Verbundindex |
bvnumber | BV042247101 |
classification_rvk | RF 96232 RF 96636 |
collection | ebook |
ctrlnum | (OCoLC)899179391 (DE-599)BVBBV042247101 |
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format | Thesis Electronic eBook |
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indexdate | 2024-07-10T01:16:19Z |
institution | BVB |
language | English |
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physical | 1 Online-Ressource (XIV, 141 S.) Ill., graph. Darst. |
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spelling | Okujeni, Akpona Verfasser (DE-588)1064100031 aut Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales von Akpona Okujeni 2014 1 Online-Ressource (XIV, 141 S.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier Berlin, Humboldt-Univ., Diss., 2014 Online_Ausgabe Berlin Humboldt-Universität zu Berlin, Universitätsbibliothek 2014 Online-Ausg. Nach einem Exemplar der Humboldt-Universität zu Berlin, Universitätsbibliothek mit der Signatur: Diss Geo14 O41 s2014 Landnutzungskartierung (DE-588)4193280-8 gnd rswk-swf Satellitenfernerkundung (DE-588)4224344-0 gnd rswk-swf Berlin (DE-588)4005728-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Berlin (DE-588)4005728-8 g Landnutzungskartierung (DE-588)4193280-8 s Satellitenfernerkundung (DE-588)4224344-0 s 1\p DE-604 Reproduktion von Okujeni, Akpona Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales 2014 Erscheint auch als Druck-Ausgabe Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales / von Akpona Okujeni (DE-604)BV042385361 http://edoc.hu-berlin.de/docviews/abstract.php?lang=ger&id=41251 Verlag kostenfrei Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Okujeni, Akpona Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales Landnutzungskartierung (DE-588)4193280-8 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd |
subject_GND | (DE-588)4193280-8 (DE-588)4224344-0 (DE-588)4005728-8 (DE-588)4113937-9 |
title | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales |
title_auth | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales |
title_exact_search | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales |
title_full | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales von Akpona Okujeni |
title_fullStr | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales von Akpona Okujeni |
title_full_unstemmed | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales von Akpona Okujeni |
title_short | Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales |
title_sort | quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales |
topic | Landnutzungskartierung (DE-588)4193280-8 gnd Satellitenfernerkundung (DE-588)4224344-0 gnd |
topic_facet | Landnutzungskartierung Satellitenfernerkundung Berlin Hochschulschrift |
url | http://edoc.hu-berlin.de/docviews/abstract.php?lang=ger&id=41251 |
work_keys_str_mv | AT okujeniakpona quantifyingurbanlandcoverbymeansofmachinelearningandimagingspectrometerdataatmultiplespatialscales |