Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data

Bibliographic Details
Main Author: Dirscherl, Mariel
Format: Thesis
Language:English
Published: 2022
Subjects:
Dynamik der Landoberfläche
Antarctic
Antarc*
Antarctica
Online Access:https://elib.dlr.de/187739/
https://elib.dlr.de/187739/1/Dirscherl_Mariel_Dissertation_Antarktis.pdf
https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/27950
id ftdlr:oai:elib.dlr.de:187739
record_format openpolar
spelling ftdlr:oai:elib.dlr.de:187739 2023-05-15T13:51:36+02:00 Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data Dirscherl, Mariel 2022 application/pdf https://elib.dlr.de/187739/ https://elib.dlr.de/187739/1/Dirscherl_Mariel_Dissertation_Antarktis.pdf https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/27950 en eng https://elib.dlr.de/187739/1/Dirscherl_Mariel_Dissertation_Antarktis.pdf Dirscherl, Mariel (2022) Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data. Dissertation, Universität Würzburg. doi:10.25972/OPUS-27950 <https://doi.org/10.25972/OPUS-27950>. cc_by_nc_nd CC-BY-NC-ND Dynamik der Landoberfläche Hochschulschrift NonPeerReviewed 2022 ftdlr https://doi.org/10.25972/OPUS-27950 2022-09-18T23:13:11Z Thesis Antarc* Antarctic Antarctica German Aerospace Center: elib - DLR electronic library Antarctic
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language English
topic Dynamik der Landoberfläche
spellingShingle Dynamik der Landoberfläche
Dirscherl, Mariel
Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
topic_facet Dynamik der Landoberfläche
format Thesis
author Dirscherl, Mariel
author_facet Dirscherl, Mariel
author_sort Dirscherl, Mariel
title Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
title_short Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
title_full Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
title_fullStr Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
title_full_unstemmed Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data
title_sort remote sensing of supraglacial lake dynamics in antarctica - exploiting methods from artificial intelligence for derivation of antarctic supraglacial lake extents in multi-sensor remote sensing data
publishDate 2022
url https://elib.dlr.de/187739/
https://elib.dlr.de/187739/1/Dirscherl_Mariel_Dissertation_Antarktis.pdf
https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/27950
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_relation https://elib.dlr.de/187739/1/Dirscherl_Mariel_Dissertation_Antarktis.pdf
Dirscherl, Mariel (2022) Remote Sensing of Supraglacial Lake Dynamics in Antarctica - Exploiting Methods from Artificial Intelligence for Derivation of Antarctic Supraglacial Lake Extents in Multi-Sensor Remote Sensing Data. Dissertation, Universität Würzburg. doi:10.25972/OPUS-27950 <https://doi.org/10.25972/OPUS-27950>.
op_rights cc_by_nc_nd
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.25972/OPUS-27950
_version_ 1766255561219768320

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