R
Ruixin Yang
Researcher at George Mason University
Publications - 42
Citations - 913
Ruixin Yang is an academic researcher from George Mason University. The author has contributed to research in topics: Tropical cyclone & Metadata. The author has an hindex of 13, co-authored 39 publications receiving 867 citations.
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Patent
Geographic information system
TL;DR: Disclosed is a geographic information system which comprises a multithreading client and a multathreading server cluster that includes at least one user interface, at least two client coordinator, map data, and at least three server-side spatial managers.
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Performance‐improving techniques in web‐based GIS
TL;DR: Several major potential performance problems with WebGIS are identified and several possible techniques to improve the performance are discussed, which include the use of pyramids and hash indices on the server side to handle large images and clustering and multithreading techniques.
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Multi-sensor studies of the Sumatra earthquake and tsunami of 26 December 2004
Ramesh P. Singh,Guido Cervone,Menas Kafatos,Anup K. Prasad,A. K. Sahoo,Donglian Sun,Danling Tang,Ruixin Yang +7 more
TL;DR: In this article, the Sumatra tsunami and earthquake of 26 December 2004, multi-sensors data have been analyzed to study the changes in ocean, land, meteorological and atmospheric parameters.
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Hyperspectral image assessment of oil‐contaminated wetland
TL;DR: In this paper, a prototype demonstrates how hyperspectral data can supplement information on environmental deterioration due to oil pollution, specifically the Patuxent River wetland at the Chesapeake Bay in Maryland.
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Numerical Simulations of the Impacts of the Saharan Air Layer on Atlantic Tropical Cyclone Development
Donglian Sun,William K. M. Lau,Menas Kafatos,Zafer Boybeyi,Gregory Leptoukh,Chaiwei Yang,Ruixin Yang +6 more
TL;DR: In this article, the role of the Saharan air layer (SAL) is investigated in the development and intensification of tropical cyclones via modifying environmental stability and moisture, using multisensor satellite data, long-term TC track and intensity records, dust data, and numerical simulations with a state-of-the-art Weather Research and Forecasting model.