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Highlighted in Open Source Geospatial Research & Education Symposium (OGRS2016)

Using Python® language for the validation of the CCI soil moisture products via SM2RAIN

, , , , , , ,
1 Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
2 Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
DOI
10.7287/peerj.preprints.2131v4
Published
Accepted
Subject Areas
Data Science, Scientific Computing and Simulation, Programming Languages
Keywords
Python, Open-source, SM2RAIN, Remote sensing, Soil Moisture, Climate Change Initiative
Copyright
© 2016 Ciabatta et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Ciabatta L, Massari C, Brocca L, Reimer C, Hann S, Paulik C, Dorigo W, Wagner W. 2016. Using Python® language for the validation of the CCI soil moisture products via SM2RAIN. PeerJ Preprints 4:e2131v4

Abstract

Remote sensing techniques provide a new way to obtain hydrological variables (i.e. rainfall and soil moisture), mainly in poorly instrumented areas that are fundamental for natural hazard assessment and mitigation. The ever increasing availability of satellite derived products characterized by high temporal and spatial coverage requires the development of techniques and instruments for big data volume managing. Moreover, the use of open source systems is highly encouraged in order to increase their use by the scientific community. In this study, the application of the SM2RAIN algorithm to the CCI soil moisture product is proposed as a case study. A number of Python® classes and methods have been developed for this purpose, with the aim of creating an open-source web validation tool for SM dataset, within the Earth Observation Data Centre for Water Resources Monitoring (EODC).

Author Comment

We formatted the paper following the guidelines and the template reported in the email received for the OGRS conference.

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Luca Ciabatta conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Christian Massari conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, performed the computation work, reviewed drafts of the paper.

Luca Brocca analyzed the data, wrote the paper, reviewed drafts of the paper.

Christoph Reimer conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, performed the computation work, reviewed drafts of the paper.

Sebastian Hann conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, performed the computation work, reviewed drafts of the paper.

Christoph Paulik analyzed the data, contributed reagents/materials/analysis tools, performed the computation work.

Wouter Dorigo analyzed the data, reviewed drafts of the paper.

Wolfgang Wagner analyzed the data, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The raw data and the codes used in this study will be made available in the near future.

Funding

This work is funded by the Earth Observation Data Centre for Water Resources Monitoring through the European Space Agency Climate Change Initiative. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Using Python® language for the validation of the CCI soil moisture products via SM2RAIN
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