IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Target Evaluation and Correlation Method (TECM) as an Assessment Approach to Global Earth Observation System of Systems (GEOSS)

Target Evaluation and Correlation Method (TECM) as an Assessment Approach to Global Earth Observation System of Systems (GEOSS)
View Sample PDF
Author(s): Samuel Epelbaum (Pace University, USA), Mo Mansouri (Stevens Institute of Technology, USA), Alex Gorod (Stevens Institute of Technology, USA), Brian Sauser (Stevens Institute of Technology, USA) and Alexander Fridman (Institute for Informatics and Mathematical Modelling, Kola Science Centre of the Russian Academy of Sciences (RAS), Russia)
Copyright: 2013
Pages: 27
Source title: Emerging Methods and Multidisciplinary Applications in Geospatial Research
Source Author(s)/Editor(s): Donald P. Albert (Sam Houston State University, USA) and G. Rebecca Dobbs (University of North Carolina - Chapel Hill, USA)
DOI: 10.4018/978-1-4666-1951-7.ch020

Purchase


Abstract

The Global Earth Observation System of Systems (GEOSS) is a ten-year-long Implementation Plan, which commenced in 2005 as a group effort by numerous participating countries and organizations to build a large-scale network to effectively monitor and respond to the increasingly complex web of global environmental and socio-economic issues. This paper proposes the Target Evaluation and Correlation Method (TECM) as an assessment approach to GEOSS with its 241 Targets across the nine “Societal Benefit Areas,” along with a method to identify Target Correlation Levels (TCL). Applying TECM allows concluding whether the chosen targets within the GEOSS fall into the domain of System of Systems (SoS), while using TCLs delineates the extent of inclusion for these targets in the form of a system. Furthermore, this research investigates the possible ways of raising the correlation levels of the targets for the cases in which TCLs are low.

Related Content

Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine. © 2021. 19 pages.
Mehmet Sevkli, Abdullah S. Karaman, Yusuf Ziya Unal, Muheeb Babajide Kotun. © 2021. 29 pages.
Soumaya Elhosni, Sami Faiz. © 2021. 13 pages.
Symphorien Monsia, Sami Faiz. © 2021. 20 pages.
Sana Rekik. © 2021. 9 pages.
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah. © 2021. 14 pages.
Mustapha Mimouni, Nabil Ben Khatra, Amjed Hadj Tayeb, Sami Faiz. © 2021. 18 pages.
Body Bottom