Automated mapping of Antarctic supraglacial lakes using a Machine Learning approach
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Remote Sensing (2020) 12:7, 1203. https://doi.org/10.3390/rs12071203
- Ereignis
-
Veröffentlichung
- (wo)
-
Würzburg
- (wer)
-
Universität Würzburg
- (wann)
-
2022
- Urheber
-
Dirscherl, Mariel
Dietz, Andreas J.
Kneisel, Christof
Kuenzer, Claudia
- DOI
-
10.3390/rs12071203
- URN
-
urn:nbn:de:bvb:20-opus-203735
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Dirscherl, Mariel
- Dietz, Andreas J.
- Kneisel, Christof
- Kuenzer, Claudia
- Universität Würzburg
Entstanden
- 2022
Ähnliche Objekte (12)
Seasonal evolution of Antarctic supraglacial lakes in 2015–2021 and links to environmental controls
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
A review of earth observation-based analyses for major river basins
Forest biodiversity monitoring based on remotely sensed spectral diversity — a review
Object detection and image segmentation with deep learning on Earth observation data: a review-part I: evolution and recent trends
DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Forecasting spatio-temporal dynamics on the land surface using Earth Observation data — a review
DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Driving Forces of Circum-Antarctic Glacier and Ice Shelf Front Retreat over the Last Two Decades
Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades
Automated extraction of annual erosion rates for Arctic permafrost coasts using Sentinel-1, Deep Learning, and Change Vector Analysis
Remote sensing of surface water dynamics in the context of global change — a review
Seasonal evolution of Antarctic supraglacial lakes in 2015–2021 and links to environmental controls
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
A review of earth observation-based analyses for major river basins
Forest biodiversity monitoring based on remotely sensed spectral diversity — a review
Object detection and image segmentation with deep learning on Earth observation data: a review-part I: evolution and recent trends
DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Forecasting spatio-temporal dynamics on the land surface using Earth Observation data — a review
DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Driving Forces of Circum-Antarctic Glacier and Ice Shelf Front Retreat over the Last Two Decades
Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades
Automated extraction of annual erosion rates for Arctic permafrost coasts using Sentinel-1, Deep Learning, and Change Vector Analysis
Remote sensing of surface water dynamics in the context of global change — a review
Seasonal evolution of Antarctic supraglacial lakes in 2015–2021 and links to environmental controls
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
A review of earth observation-based analyses for major river basins
Forest biodiversity monitoring based on remotely sensed spectral diversity — a review
Object detection and image segmentation with deep learning on Earth observation data: a review-part I: evolution and recent trends
DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Forecasting spatio-temporal dynamics on the land surface using Earth Observation data — a review
DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data
Driving Forces of Circum-Antarctic Glacier and Ice Shelf Front Retreat over the Last Two Decades
Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades
Automated extraction of annual erosion rates for Arctic permafrost coasts using Sentinel-1, Deep Learning, and Change Vector Analysis