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

Authors

  • C. Rajabhushanam Department of Computer Science Engineering, BIST Bharath Institute of Higher Education and Research (BIHER), Selaiyur, Chennai, Tamilnadu, India.

DOI:

https://doi.org/10.9734/bpi/ctmcs/v2/3617D

Keywords:

Operational data center, MPLS computer networks, VDI, Model-view-controller, GML, customized algorithm, spatio-temporal databases, Region of Interest (ROI), geospatial analysis

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.

Published

2021-06-12

How to Cite

C. Rajabhushanam. (2021). Design of Spatio-temporal Data Archival for Big-data Satellite Imagery: Use Cases. Current Topics on Mathematics and Computer Science Vol. 2, 141–145. https://doi.org/10.9734/bpi/ctmcs/v2/3617D