Shuttle Radar Topography Mission (SRTM)
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The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution
digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour
during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency
(NGA), NASA, the Italian Space Agency (ASI) and the German Aerospace Center (DLR). There are three
resolution outputs available, including 1 kilometer and 90 meter resolutions for the world
and a 30 meter resolution for the US. GLCF serves the main USGS editions, plus has 'enhanced'
editions as well as provides editions
in WRS-2 tiles to approximate Landsat scenes.
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Sensor and Product Characteristics
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| Satellite |
Sensor |
Capture Resolution |
Pixel Resolution |
| Space Shuttle Endeavor |
C-band and X-band |
1 arc second |
30 meter |
| 3 arc second |
90 meter |
| 30 arc second |
1 kilometer |
| Scene Type |
Scene Size |
Projection |
| degree |
1 degree latitude X 1 degree longitude |
geographic |
| WRS-2 |
185 kilometer X 185 kilometer |
UTM |
| mosaic |
global |
geographic |
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Product Editions Available at GLCF
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| Processing Level |
1 arc second: degree |
1 arc second: WRS-2 |
3 arc second: degree |
3 arc second: WRS-2 |
30 arc second: regions |
30 arc second: mosaic |
| Unfilled Unfinished |
X |
X |
X |
X |
X |
X |
| Unfilled Finished-A |
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X |
X |
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| Unfilled Finished-B |
X |
X |
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| Filled Finished-A |
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X |
X |
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| Filled Finished-B |
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X |
X |
X |
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RED X = currently available
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How to Cite This Data Set
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Citation Format: Author (Publication Date), Collection Name, Image Name, Processing
Level, Publisher, Publisher Location, Product Coverage Date.
Citation Parameters Example:
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Intellectual Property Rights
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Use is free to all if acknowledgement is made; effectively held by University of Maryland; but
ultimately held by US public.
As a courtesy, please credit the Global Land Cover Facility (GLCF) as
the source for this data set in some manner. Our suggestion: Source for this
data set was the Global Land Cover Facility, www.landcover.org.