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Collection:
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NASA Scientific Visualization Studio Collection
Collection
NASA Scientific Visualization Studio Collection
Collection
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Title:
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Earth at Night 2001
Title
Earth at Night 2001
Title
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Instrument:
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DMSP/OLS
Instrument
DMSP/OLS
Instrument
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Description:
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A Flat Earth lets you see human-made lights which are highlighted by developed or populated areas of the Earths surface, including the seaboards of Europe, the eastern United States, and Japan.
Description
A Flat Earth lets you see human-made lights which are highlighted by developed or populated areas of the Earths surface, including the seaboards of Europe, the eastern United States, and Japan.
Description
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Abstract:
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This is what the Earth looks like at night. Can you find your favorite country or city? Surprisingly, city lights make this task quite possible. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminate d clouds.
The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. This animation is derived from an image created by Craig Mayhew and Robert Simmon from data provided by Christopher Elvidge of the NOAA National Geophysical Data Center.
Abstract
This is what the Earth looks like at night. Can you find your favorite country or city? Surprisingly, city lights make this task quite possible. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminate d clouds.
The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. This animation is derived from an image created by Craig Mayhew and Robert Simmon from data provided by Christopher Elvidge of the NOAA National Geophysical Data Center.
Abstract
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Completed:
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2001-10-19
Completed
2001-10-19
Completed
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Credit:
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*Please give credit for this visualization to*
NASA/Goddard Space Flight Center
Scientific Visualization Studio
Credit
*Please give credit for this visualization to*
NASA/Goddard Space Flight Center
Scientific Visualization Studio
Credit
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Studio:
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SVS
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Animator:
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Stuart A. Snodgrass (Lead)
Animator
Stuart A. Snodgrass (Lead)
Animator
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Animator:
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Robert Simmon
Animator
Robert Simmon
Animator
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Animator:
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Craig Mayhew
Animator
Craig Mayhew
Animator
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Scientist:
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Christopher Elvidge (NOAA/NGDC)
Scientist
Christopher Elvidge (NOAA/NGDC)
Scientist
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Scientist:
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Marc Imhoff (NASA/GSFC)
Scientist
Marc Imhoff (NASA/GSFC)
Scientist
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Series:
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Earth at Night
Series
Earth at Night
Series
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Data Collected:
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1994/10 - 1995/03
Data_Collected
1994/10 - 1995/03
Data Collected
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Keywords:
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DLESE
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Keywords:
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SVS
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Keywords:
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GCMD
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Keywords:
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Human geography
Keywords
Human geography
Keywords
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Keywords:
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EARTH SCIENCE
Keywords
EARTH SCIENCE
Keywords
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Keywords:
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Biosphere
Keywords
Biosphere
Keywords
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Keywords:
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Ecological Dynamics
Keywords
Ecological Dynamics
Keywords
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Keywords:
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Fire Occurrence
Keywords
Fire Occurrence
Keywords
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Keywords:
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Lights
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Keywords:
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Night
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note:
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Video:
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SVS2001-0023* * *
Video
SVS2001-0023* * *
Video
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Goddard TV Tape:
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Goddard_TV_Tape
Goddard TV Tape
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facet_where:
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Japan
facet_where
Japan
facet_where
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facet_where:
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Australia
facet_where
Australia
facet_where
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facet_where:
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Goddard Space Flight Center (GSFC)
facet_where
Goddard Space Flight Center (GSFC)
facet_where
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facet_where:
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United States of America
facet_where
United States of America
facet_where
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facet_when:
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October 1994
facet_when
October 1994
facet_when
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facet_when:
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March 1995
facet_when
March 1995
facet_when
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facet_what:
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Earth
facet_what
Earth
facet_what
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facet_what:
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Polar
facet_what
Polar
facet_what
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facet_what:
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DMSP
facet_what
DMSP
facet_what
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facet_what:
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Defense Meteorological Satellite
facet_what
Defense Meteorological Satellite
facet_what
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facet_when_year:
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1995
facet_when_year
1995
facet_when_year
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facet_when_year:
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1994
facet_when_year
1994
facet_when_year
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Animation Number:
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2276
Animation_Number
2276
Animation Number
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UID:
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SPD-SCIVS-http://svs .gsfc.nasa.gov/vis/a 000000/a002200/a0022 76/flat_earth_night- IMAGE
UID
SPD-SCIVS-http://svs .gsfc.nasa.gov/vis/a 000000/a002200/a0022 76/flat_earth_night- IMAGE
UID
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original url:
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original_url
original url
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