Stereo-derived Topography from the Venus Magellan Dataset: An Assessment of the Quantitative Scientific Value of Sub-km DEM Products

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Scientific paper

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Scientific paper

Quantitative information is difficult to extract from sub-km DEMs
(derived from stereo SAR images) on surface properties and processes for
a range of different landforms on Venus, including tesserae, coronae,
lava flows, and lava channels.

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