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Jain, Himani (2019) Machine Learning Methods for Ozone Total Column Retrieval from Sentinel-5 Precursor Data: Application to Synthetic and Real Measurements. Master's, TU Berlin.
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| Item URL in elib: | https://elib.dlr.de/133727/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Machine Learning Methods for Ozone Total Column Retrieval from Sentinel-5 Precursor Data: Application to Synthetic and Real Measurements | ||||||||
| Authors: |
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| Date: | 2019 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 86 | ||||||||
| Status: | Published | ||||||||
| Keywords: | machine learning, remote sensing | ||||||||
| Institution: | TU Berlin | ||||||||
| Department: | Electrical Engineering and Computer Science | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Atmospheric and climate research, R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors | ||||||||
| Deposited By: | Efremenko, Dr Dmitry | ||||||||
| Deposited On: | 21 Jan 2020 13:01 | ||||||||
| Last Modified: | 22 Jan 2020 09:52 |
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