Institution
South African National Space Agency
Government•Pretoria, 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
More filters
01 Jan 2014
627 citations
••
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
••
Goddard Space Flight Center1, Valley Forge Christian College2, British Geological Survey3, Finnish Meteorological Institute4, Natural Resources Canada5, Munich Re6, South African National Space Agency7, University of Michigan8, University of Maryland, Baltimore County9, George Mason University10, United States Geological Survey11, National Oceanic and Atmospheric Administration12, The Catholic University of America13, Oregon State University14, National Institute of Polar Research15, Johns Hopkins University Applied Physics Laboratory16, University of Utah17, Federal Emergency Management Agency18
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
••
University of Sheffield1, Goddard Space Flight Center2, South African National Space Agency3, The Catholic University of America4, University of Bremen5, Massachusetts Institute of Technology6, Vienna University of Technology7, University of Maryland, College Park8, Masaryk University9, Humboldt State University10, Indian Institute of Technology Bombay11, Aberystwyth University12, Max Planck Society13, Royal Observatory of Belgium14, National University of Colombia15
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
••
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
Authors
Showing all 114 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michel M. Verstraete | 58 | 165 | 11911 |
Michael Kosch | 28 | 184 | 2741 |
Lee-Anne McKinnell | 25 | 73 | 2186 |
Nickolay Ivchenko | 20 | 108 | 1599 |
Andrew B. Collier | 20 | 59 | 1107 |
Pierre J. Cilliers | 20 | 82 | 1164 |
Chigomezyo M. Ngwira | 19 | 43 | 1222 |
John Bosco Habarulema | 17 | 79 | 938 |
Jane Mukarugwiza Olwoch | 16 | 26 | 1285 |
David Pérez-Suárez | 16 | 42 | 5771 |
N. E. Engelbrecht | 15 | 29 | 798 |
Joe Kinrade | 12 | 29 | 402 |
Daniel Okoh | 12 | 39 | 345 |
Paidamwoyo Mhangara | 11 | 26 | 248 |
Clement Adjorlolo | 11 | 26 | 346 |