Toward an Intelligent Decision Support System for Environmental Application Using Earth Digital Twin

Document Type

Book Chapter

Source of Publication

Communications in Computer and Information Science

Publication Date

12-24-2024

Abstract

Digital Twin (DT) is an innovative technology representing virtually a physical object. DT applications include real-time monitoring, planning, optimization, maintenance, remote access, etc. DT allows gathering massive and heterogeneous data from the physical environment to understand the link between past events, monitor the present, and predict the future. The implementation of D.T. is increasing in various domains like the industrial, automotive, and agriculture. This paper describes an overview of Earth Digital Twin (EDT). Firstly, we discuss the challenges of the implementation. Secondly, we present a generic EDT architecture for environmental applications with a real case study, particularly based on simulation scenarios. EDT is mainly employed to 1) utilize massive and heterogeneous data, 2) implement a suitable machine learning model structure, and 3) develop a platform to help policy and support decision-making.

ISBN

978-3-031-77042-5, 978-3-031-77043-2

ISSN

1865-0937

Publisher

Springer Nature Switzerland

Volume

2168

First Page

229

Last Page

237

Disciplines

Computer Sciences

Keywords

Earth Digital Twin (EDT), Decision Support System, Environmental Applications, Machine Learning, Data Integration and Simulation

Indexed in Scopus

no

Open Access

no

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