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Institution

South African National Space Agency

GovernmentPretoria, South Africa
About: South African National Space Agency is a government organization based out in Pretoria, South Africa. It is known for research contribution in the topics: Ionosphere & Total electron content. The organization has 110 authors who have published 305 publications receiving 4024 citations. The organization is also known as: SANSA.


Papers
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Journal ArticleDOI
TL;DR: In this Comment, contributors to the chapter on human health, explain how the IPCC report was prepared and highlight important aspects of wellbeing such as security and livelihoods.

207 citations

Journal ArticleDOI
TL;DR: In assessing the status of the field, the readiness of various applications in the mitigation context is quantified using the Applications Readiness Level (ARL) concept to carry out the quantification.
Abstract: This paper is the primary deliverable of the very first NASA Living With a Star Institute Working Group, Geomagnetically Induced Currents (GIC) Working Group. The paper provides a broad overview of the current status and future challenges pertaining to the science, engineering, and applications of the GIC problem. Science is understood here as the basic space and Earth sciences research that allows improved understanding and physics-based modeling of the physical processes behind GIC. Engineering, in turn, is understood here as the “impact” aspect of GIC. Applications are understood as the models, tools, and activities that can provide actionable information to entities such as power systems operators for mitigating the effects of GIC and government agencies for managing any potential consequences from GIC impact to critical infrastructure. Applications can be considered the ultimate goal of our GIC work. In assessing the status of the field, we quantify the readiness of various applications in the mitigation context. We use the Applications Readiness Level (ARL) concept to carry out the quantification.

145 citations

Journal ArticleDOI
TL;DR: SunPy as discussed by the authors is a data-analysis environment specializing in providing the software necessary to analyse solar and heliospheric data in Python, which can leverage the many existing tools already available in Python.
Abstract: This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, has seen widespread adoption among the scientific community, resulting in the availability of a large number of software packages, from numerical computation (NumPy, SciPy) and machine learning (scikit-learn) to visualization and plotting (matplotlib). SunPy is a data-analysis environment specializing in providing the software necessary to analyse solar and heliospheric data in Python. SunPy is open-source software (BSD licence) and has an open and transparent development workflow that anyone can contribute to. SunPy provides access to solar data through integration with the Virtual Solar Observatory (VSO), the Heliophysics Event Knowledgebase (HEK), and the HELiophysics Integrated Observatory (HELIO) webservices. It currently supports image data from major solar missions (e.g., SDO, SOHO, STEREO, and IRIS), time-series data from missions such as GOES, SDO/EVE, and PROBA2/LYRA, and radio spectra from e-Callisto and STEREO/SWAVES. We describe SunPyʼs functionality, provide examples of solar data analysis in SunPy, and show how Python-based solar data-analysis can leverage the many existing tools already available in Python. We discuss the future goals of the project and encourage interested users to become involved in the planning and development of SunPy.

125 citations

Journal ArticleDOI
01 Feb 2015-Geoderma
TL;DR: In this paper, the potential of the visible near infrared (VNIR), mid infrared (MIR) and a combined VNIR-MIR spectral region to estimate and predict soil carbon fractions was evaluated.

117 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20228
202128
202044
201935
201838