Land use and wind estimation as inputs for air pollution modelling

Abstract : This presentation investigates the use of remote sensing image processing techniques to estimate input data for air quality models. These models actually use a lot of input data, whose collection can be inaccurate or costly. Thanks to their high spatial and temporal resolutions and their rich spectral content, remote sensing data can be analysed to estimate some input data in an objective and accurate way. This research is led at INRIA (AIR project) in collaboration with GMD Institute for Computer Architecture and Software Technology (FIRST), Berlin within the ERCIM working group Environmental Modelling.
Type de document :
Article dans une revue
Liste complète des métadonnées

https://hal.inria.fr/inria-00532711
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:39:26
Dernière modification le : mercredi 3 janvier 2018 - 14:18:08

Identifiants

  • HAL Id : inria-00532711, version 1

Collections

Citation

Dominique Béréziat, Jean-Paul Berroir, Sonia Bouzidi, Isabelle Herlin, Hussein Yahia. Land use and wind estimation as inputs for air pollution modelling. ERCIM News, ERCIM, 1998, 〈http://www.ercim.eu/publication/Ercim_News/enw34/berroir.html〉. 〈inria-00532711〉

Partager

Métriques

Consultations de la notice

129