Design of Spatio-temporal Data Archival for Big-data Satellite Imagery: Use Cases

Rajabhushanam, C. (2021) Design of Spatio-temporal Data Archival for Big-data Satellite Imagery: Use Cases. In: Current Topics on Mathematics and Computer Science Vol. 2. B P International, pp. 141-145. ISBN 978-93-91215-83-5

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Abstract

This research article emphasizes the importance of production data systems in parallel and distributed spatial databases. It proposes a Multi Protocol Label Switching (MPLS) computer network design based on virtual desktop infrastructure (VDI), local area network, for performing complex workflows using spatio-temporal datasets such as Worldview-3, Sentinel-3, and Landsat-8 satellite imagery. The main intent is to facilitate a workflow processing procedure that will automatically devise a sequential and ordered flow of machine instructions in a pipelined approach with robust data redundancy and feature retrieval procedure. In addition, the research article implies that a spatial design pattern such as model-view-controller (MVC) can be designed and implemented using geographic markup language (GML) and OGC based webservices. In addition, a proprietary customized algorithm will be designed to perform geospatial analysis and archival of bigdata.

Item Type: Book Section
Subjects: Oalibrary Press > Computer Science
Depositing User: Managing Editor
Date Deposited: 22 Dec 2023 07:44
Last Modified: 22 Dec 2023 07:44
URI: http://asian.go4publish.com/id/eprint/2995

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