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Donike, Simon (2020) Using Machine Learning to derive Soil Information from Soil Reflectance Composites (SCMaP). Bachelor's, Universität zu Köln.
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| Item URL in elib: | https://elib.dlr.de/134317/ | ||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | Using Machine Learning to derive Soil Information from Soil Reflectance Composites (SCMaP) | ||||||||
| Authors: |
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| Date: | 2020 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 63 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Machine Learning, Landsat, remote sensing of soils, timeseries, soil | ||||||||
| Institution: | Universität zu Köln | ||||||||
| 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 - Remote Sensing and Geo Research | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||
| Deposited By: | Zepp, Simone | ||||||||
| Deposited On: | 21 Jul 2020 11:02 | ||||||||
| Last Modified: | 21 Jul 2020 11:02 |
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