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arXiv · 2210.01528

Integrating pre-processing pipelines in ODC based framework

U. Otamendi·I. Azpiroz·M. Quartulli·I. Olaizola
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Abstract

Using on-demand processing pipelines to generate virtual geospatial products is beneficial to optimizing resource management and decreasing processing requirements and data storage space. Additionally, pre-processed products improve data quality for data-driven analytical algorithms, such as machine learning or deep learning models. This paper proposes a method to integrate virtual products based on integrating open-source processing pipelines. In order to validate and evaluate the functioning of this approach, we have integrated it into a geo-imagery management framework based on Open Data Cube (ODC). To validate the methodology, we have performed three experiments developing on-demand processing pipelines using multi-sensor remote sensing data, for instance, Sentinel-1 and Sentinel-2. These pipelines are integrated using open-source processing frameworks.

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U. Otamendi, I. Azpiroz, M. Quartulli, I. Olaizola. 2022-10-04. Integrating pre-processing pipelines in ODC based framework. https://doi.org/10.1109/igarss46834.2022.9884209

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