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Nighttime HD Satellite Video
Friday, November 21, 2014
People and global businesses work day and night: so, too do Skybox Imaging satellites. Today we are pleased to showcase
nighttime HD video
from our first satellite, SkySat-1.
*Click on the 1080p HD toggle to see this video in full resolution* Bright lights, big city: the famous Strip in Las Vegas, Nevada at night as seen by Skybox Imaging’s SkySat-1 satellite from low Earth orbit on Thursday, March 27, 2014 at 10:42 p.m. local time, complete with flashing lights and moving cars. Notable sites visible in the scene include the Bellagio Hotel and its renowned fountain lake, and Paris Las Vegas’ brightly-illuminated model of the Eiffel Tower, located near the center of the video.
At Skybox, we're busy building out pixel and information services to help individuals and companies better understand our world and make better-informed, data-driven decisions. The polar orbiting imaging satellites that power our business spend about 40% of their time in the dark, so the ability to capture video at night means we can offer our users and customers insights into change occurring around the clock.
As seen in
Visible Infrared Imaging Radiometer Suite (VIIRS) imagery from NASA’s Suomi National Polar-orbiting Partnership (NPP) mission
and
EROS-B night imagery from ImageSat
, the signatures of economic activity are readily observable after dark in the form of nighttime lights. The presence and time-dependent changes of these can provide insight for a wide spectrum of civil, commercial, and humanitarian use cases.
Applications of nighttime satellite imagery and video include:
Energy production and consumption estimation
Coastal and maritime domain awareness for shipping, fishing and trade
Industrial facility utilization and infrastructure assessment
Trade and transport traffic pattern analysis
Humanitarian crisis support
We are excited to share this announcement today and continue working with Skybox customers and partners to advance development of this and other innovative solutions using Skybox imagery and video.
Posted by Niko Milonopoulos, Skybox Data Analyst
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