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

Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments

Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments
View Sample PDF
Author(s): Muhammad Tauhidur Rahman (King Fahd University of Petroleum and Minerals, Saudi Arabia)
Copyright: 2019
Pages: 12
Source title: Environmental Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7033-2.ch045

Purchase

View Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments on the publisher's website for pricing and purchasing information.

Abstract

Immediately following a natural disaster, it is imperative to accurately assess the damages caused by the disaster for effective rescue and relief operations. Passive remote sensing imageries have been analyzed and used for over four decades for such assessments. However, they do have their limitations including inability to collect data during violent weather conditions, medium to low spatial resolution, and assessing areas and pixels on a damages/no damage basis. Recent advances in active remote sensing data collection methods can resolve some of these limitations. In this chapter, the basic theories and processing techniques of active remote sensing data is first discussed. It then provides some of the advantages and limitations of using active remote sensing data for disaster damage assessments. Finally, the chapter concludes by discussing how data from active sensors are used to assess damages from various types of natural disasters.

Related Content

Delphine Defossez. © 2022. 24 pages.
Pendo Shukrani Kasoga, Amani Gration Tegambwage. © 2022. 25 pages.
S. Jithender Kumar Naik, Malek Hassanpour. © 2022. 52 pages.
Ayele Ulfata Gelan, Ahmad Shareef AlAwadhi. © 2022. 42 pages.
Xin Sheng, Rangan Gupta. © 2022. 15 pages.
Joseph Dery Nyeadi, Kannyiri Thadious Banyen, Simon Akumbo Eugene Mbilla. © 2022. 30 pages.
Valentina Vinsalek Stipic. © 2022. 25 pages.
Body Bottom