Terragon: A Unified Framework for Earth Observation Data Cube Generation

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.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-10-14
DOI
https://doi.org/10.21105/joss.08857
Citations
1
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.48
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article

Terragon: A Unified Framework for Earth Observation Data Cube Generation

Aaron Hohl, Xiao Xiang Zhu, Paul Höhn
1 citations
The Journal of Open Source Software
Advanced Computational Techniques and Applications
2.48
article

Terragon: A Unified Framework for Earth Observation Data Cube Generation

Aaron Hohl, Xiao Xiang Zhu, Paul Höhn
article en
1 citations

Abstract

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.

The Journal of Open Source SoftwareVol. 10(114)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Munich Center for Machine Learning, Technical University of Munich (DE)
Openalex Percentile: Top 8%
Advanced Computational Techniques and Applications
2.48
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Terragon: A Unified Framework for Earth Observation Data Cube Generation — Aaron Hohl, Xiao Xiang Zhu, et al. · The Journal of Open Source Software (2025) | TGRS Research Map | TGRS