Remote Sensing in Homeland Security
Home | Terahertz (THz) Wave Technology | GeoEye-1
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| Quickbird | IKONOS
http://www.nimsonline.com/nims-training-plan.html
On September
11, 2001 the United States was attack by members of Al-Qaeda, a terrorist
organization based in the Middle East.
Four passenger airliners were hijacked that morning, two were flown into
the World Trade Center in New York City, another into the Pentagon, and the
final aircraft crashed in a Pennsylvania field.
Both towers collapse hours later resulting in a total of 2,977 lives
lost, not including the 19 hijackers. As
a result of the attacks on September 11, 2001, President George W. Bush
established the Department of
Homeland Security, effective November 25, 2002.
The Department
of Homeland Security consists of multiple agencies that were stand alone
agencies before they were centralized.
These agencies include United States Citizenship and Immigration
Services, U.S. Customs and Border Protection, U.S. Immigration and Customs
Enforcement, Transportation Security Administration, United States Coast Guard,
and the United States Secret Service.
The main difference between the DHS and the Department of Defense is that the
DHS primarily protects American citizens from within and just outside U.S
borders. The DOD is primarily military
actions abroad.
Both the
Department of Homeland Security and Department of Defense use remote sensing
applications to protect the United States from threats on foreign and domestic
soil. Border crossing, airport
terminals, ocean ports, and military base defenses all use remote sensing in
one way or another in every day operations.
Just recently a new remote sensing technique was developed called
Terahertz (THz) wave technology.
Terahertz wave technology can see-through clothing and package materials
to see what is hiding inside. Satellite
imagery from satellite sensors such as GeoEye-1, WorldView-1, WorldView-2, Quickbird, IKONOS, aerial photographs and LIDAR are all
used to monitor certain locations.
Matt
Tormey
Salem
State University
Masters
of Science Geo-Information Science
Professor
Stephen Young
GPH909
Remote Sensing
Last
Modified November 9, 2010