Using Remote Sensing for Natural Disaster Management

1
Using Remote Sensing for Natural Disaster
Management

• Tara Srihari
• CSC 3990
• Villanova University

2
Key Terms

• Remote Sensing

• Disaster Management

3
Problem

• Disaster management stressful, pressured
• Lack of timely, reliable data
• Remote sensing can provide useful information
  about the landscape and environment of the Earth
• No infrastructure to store and distribute data
• Need to develop a Spatial Data Infrastructure
  (SDI)

4
Data Requirements

• Accurate
• Exchangeable
• Consistent
• Up-to-date

5
Acquiring Data

• Information needs to be acquired both before and
  after a disaster
• Methods
• Satellite scheduling
• Systematic acquisition of images
• Geostationary satellites

6
Formatting Images

• Downloaded
• Formatted
• Distributed

Image One
Image Two
Composite Image
7
Storing Data

• Easy-to-use format
• Available to multiple organizations
• Individual databases as well as access to a main
  database

8
System Requirements

• Handle multiple forms of data
• Accessible for stationary and mobile users
• Implemented through a secure infrastructure
• Support the activities of the disaster management
  life cycle
• Mitigation
• Preparedness
• Response Recovery

9
Implementation

• Web-based
• Java/XML
• Designed according to the Technology Acceptance
  Model
• Perceived usefulness
• Perceived ease of use

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System Components
11
Current Systems Tangible User Interface
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Current Systems Andean Information System for
Disaster Prevention and Relief
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Proposed Work

• Remote sensing images contain a large volume of
  data
• Significant delay between image acquisition and
  availability
• Image processing techniques can simplify complex
  images
• These techniques are not used in existing systems
• Proposal
• Research image processing approaches
• Develop an algorithm
• Write code to implement algorithm in current
  systems