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Orynbaikyzy, Aiym (2023) Crop type classification using the combination of Sentinel-1 and Sentinel-2 data. Dissertation, Martin-Luther-Universität Halle-Wittenberg. doi: 10.25673/110863.
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Official URL: https://opendata.uni-halle.de//handle/1981185920/112818
| Item URL in elib: | https://elib.dlr.de/198848/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Crop type classification using the combination of Sentinel-1 and Sentinel-2 data | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| DOI: | 10.25673/110863 | ||||||||
| Number of Pages: | 149 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Feldfrüchte, Kulturarten, Satellitendaten, Landwirtschaft, Sentinel-1, Sentinel-2, Klassifikation, Random Forest, Machine Learning | ||||||||
| Institution: | Martin-Luther-Universität Halle-Wittenberg | ||||||||
| 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: | Gessner, Ursula | ||||||||
| Deposited On: | 08 Nov 2023 09:16 | ||||||||
| Last Modified: | 08 Nov 2023 09:16 |
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