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.2131v3
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:e2131v3

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

Small changes after the feedback