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

Advances of Forensic Remote Sensing Applications in the Face of Transnational Organized Crime and Terrorism

Advances of Forensic Remote Sensing Applications in the Face of Transnational Organized Crime and Terrorism
View Sample PDF
Author(s): Elhoucine Essefi (University of Gabes, Tunisia)
Copyright: 2022
Pages: 14
Source title: Technologies to Advance Automation in Forensic Science and Criminal Investigation
Source Author(s)/Editor(s): Chung-Hao Chen (Old Dominion University, USA), Wen-Chao Yang (National Central Police University, Taiwan) and Lijia Chen (Henan University, China)
DOI: 10.4018/978-1-7998-8386-9.ch004

Purchase

View Advances of Forensic Remote Sensing Applications in the Face of Transnational Organized Crime and Terrorism on the publisher's website for pricing and purchasing information.

Abstract

This chapter aims to investigate advance and relevance of remote sensing in detecting the increasing transnational terrorist and crimes acts. This work should take into the widest definition of transnational crimes and terrorist activities and the link between. Geopolitics has created a favor climate for the setting of transnational crimes and terrorism at the Tunisian-Libyan borders. A possible future scenario is the fall of a military base with high technology arms in the hand of terrorist groups. Remote would be relevant by monitoring of terrorist mobility and their number evolution, arms quality and quantity within the base and the region, linked illegal activities funding terrorist groups (human trafficking from Africa to Europe, arms trade towards Mali, and smuggling).

Related Content

Elhoucine Essefi. © 2022. 14 pages.
Elhoucine Essefi. © 2022. 22 pages.
Elhoucine Essefi. © 2022. 11 pages.
Elhoucine Essefi. © 2022. 14 pages.
Tushar Mane, Ambika Pawar. © 2022. 29 pages.
Sachil Kumar, Anu Singla, Ruddhida R. Vidwans. © 2022. 28 pages.
Qingzhong Liu, Tze-Li Hsu. © 2022. 29 pages.
Body Bottom