Analysis of Environmental Satellite Data with Full Stack of Web Applications
Abstract (englisch):
We have created a distributed system for storage, processing, three-dimensional
visualization and basic analysis of data from Earth-observing satellite experiments
such as Envisat MIPAS. The database and the server have been designed
for high performance and scalability, whereas the client is highly portable thanks to
having been designed as a HTML5- and WebGL-based Web application. The system
is based on the so-called MEAN stack, a modern replacement for LAMP, which has
steadily been gaining traction among high-performance Web applications. Here, we
present an overview of all components of our system.
visualization and basic analysis of data from Earth-observing satellite experiments
such as Envisat MIPAS. The database and the server have been designed
for high performance and scalability, whereas the client is highly portable thanks to
having been designed as a HTML5- and WebGL-based Web application. The system
is based on the so-called MEAN stack, a modern replacement for LAMP, which has
steadily been gaining traction among high-performance Web applications. Here, we
present an overview of all components of our system.
| Zugehörige Institution(en) am KIT | Scientific Computing Center (SCC) Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen) |
| Publikationstyp | Buchaufsatz |
| Publikationsjahr | 2017 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-0695-9 urn:nbn:de:swb:90-741233 KITopen-ID: 1000074123 |
| HGF-Programm | 46.12.01 (POF III, LK 01) Data Life Cycle Labs |
| Erschienen in | Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung |
| Verlag | KIT Scientific Publishing |
| Seiten | 1-9 |
| Relationen in KITopen |