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Image Processing as Input for Air Pollution

Abstract : Air pollution models require a huge amount of various input data to achieve realistic pollution measurements and forecast. These inputs are nowadays estimated from sparse ground measurements. Remote sensing measurements are yet under-exploited, though they have a great potential. This paper reviews some image processing techniques that can be applied to estimate significant parameters such as wind direction and velocity, ground topography and land use estimation, and also to estimate their temporal evolution.
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https://hal.inria.fr/inria-00532706
Contributor : Brigitte Briot Connect in order to contact the contributor
Submitted on : Thursday, November 4, 2010 - 1:39:23 PM
Last modification on : Thursday, February 3, 2022 - 11:16:58 AM

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  • HAL Id : inria-00532706, version 1

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Jean-Paul Berroir, Isabelle Herlin. Image Processing as Input for Air Pollution. Conférence européenne sur les technologies de l'information pour l'environnement - Metropolis, Informatique pour l'environnement'97, 1997, Strasbourg, France. ⟨inria-00532706⟩

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