Höhl, Adrian und Höhn, Paul und Zhu, Xiao Xiang (2025) Terragon: A Unified Framework for Earth Observation Data Cube Generation. Journal of Open Source Software, 10 (114), Seite 8857. Journal of Open Source Software. doi: 10.21105/joss.08857. ISSN 2475-9066.
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Kurzfassung
Terragon (Earth(Poly)gon) is a Python package facilitating access to remote sensing and Earth observation data from multiple sources. Its goal is to unify the process of downloading data in a simple and efficient manner. While existing tools focus on specific satellites or data providers, Terragon offers a more flexible solution. The package offers a consistent way to search, filter, and download data from various data sources. It utilizes a polygon format to define the region of interest and creates a spatio-temporal data cube (Mahecha et al., 2020) of rasterized data in the Xarray Dataset format, as illustrated in Figure 1. Additionally, it ensures the alignment of projections and resolutions, organizing the data according to the selected resolution and coordinate reference system
| elib-URL des Eintrags: | https://elib.dlr.de/219476/ | ||||||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
| Titel: | Terragon: A Unified Framework for Earth Observation Data Cube Generation | ||||||||||||||||
| Autoren: |
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| Datum: | 14 Oktober 2025 | ||||||||||||||||
| Erschienen in: | Journal of Open Source Software | ||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||
| Open Access: | Ja | ||||||||||||||||
| Gold Open Access: | Ja | ||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||
| Band: | 10 | ||||||||||||||||
| DOI: | 10.21105/joss.08857 | ||||||||||||||||
| Seitenbereich: | Seite 8857 | ||||||||||||||||
| Verlag: | Journal of Open Source Software | ||||||||||||||||
| ISSN: | 2475-9066 | ||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||
| Stichwörter: | Remote Sensing, Earth Observation, Download, Data Cube, | ||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Künstliche Intelligenz | ||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
| Hinterlegt von: | Höhn, Paul | ||||||||||||||||
| Hinterlegt am: | 24 Nov 2025 12:41 | ||||||||||||||||
| Letzte Änderung: | 24 Nov 2025 12:41 |
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