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Auteur G. Seiz |
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Cloud mapping with ground-based photogrammetric cameras / G. Seiz in International Journal of Remote Sensing IJRS, vol 28 n° 9 (May 2007)
[article]
Titre : Cloud mapping with ground-based photogrammetric cameras Type de document : Article/Communication Auteurs : G. Seiz, Auteur ; J. Shields, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2001 - 2032 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] caméra numérique
[Termes IGN] données météorologiques
[Termes IGN] étalonnage géométrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] modèle stéréoscopique
[Termes IGN] nuage
[Termes IGN] visualisation 3DRésumé : (Auteur) Ground-based digital imager systems in the visible and near infrared region of the solar spectrum have the potential to nicely complement existing instruments and observation networks of National Weather Services with very accurate, high spatial and temporal resolution, 2D and 3D macroscopic cloud data such as cloud amount, cloud-base height and 3D cloud-base motion. This paper discusses two current approaches to ground-based cloud sensing: the prototype instrument used at ETH/MeteoSwiss within Cloudmap and Cloudmap2 for stereoscopy tests, and a Daylight Visible/NIR Whole Sky Imager (WSI) system developed and fielded by the Scripps Institution of Oceanography (SIO). The article includes descriptions of the radiometric and geometric calibration methods. Cloud amount, cloud-base height and cloud-base motion results from two ETH/MeteoSwiss measurement campaigns and from the operational WSI use at the German Weather Service (DWD) are shown. Finally, a case study with coincident satellite and ground data illustrates that ground-based digital imager systems are an interesting technique to validate satellite-based cloud-top heights and cloud-top motion winds of vertically thin clouds. Copyright Taylor & Francis Numéro de notice : A2007-279 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600641822 En ligne : https://doi.org/10.1080/01431160600641822 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28642
in International Journal of Remote Sensing IJRS > vol 28 n° 9 (May 2007) . - pp 2001 - 2032[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Reconstruction of cloud geometry from multi-view satellite images / G. Seiz in Remote sensing of environment, vol 100 n° 2 (30 January 2006)
[article]
Titre : Reconstruction of cloud geometry from multi-view satellite images Type de document : Article/Communication Auteurs : G. Seiz, Auteur ; R. Davies, Auteur Année de publication : 2006 Article en page(s) : pp 143 - 149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] hydrologie
[Termes IGN] image Terra-MISR
[Termes IGN] modèle de transfert radiatif
[Termes IGN] nuage
[Termes IGN] radiance
[Termes IGN] reconstruction 3DRésumé : (Auteur) Reflected solar radiances measured by the pushbroom cameras of the Multiangle Imaging SpectroRadiometer (MISR) on the Terra satellite at nine viewing angles are combined to give eight stereo pairs. These are analyzed with stereo-photogrammetric methods to measure the geometry of a convective cloud system. Both cloud-top heights and cloud sides are retrieved with a precision of about 200-300 m. Two case studies of deep, convective clouds over ocean are considered. The accuracy of the MISR retrieval is tested in the first case study by reference to coincident, higher resolution stereo data from ASTER, showing how the accuracy of the cloud-top height retrieval is improved using the oblique MISR views. In the second case study, the entire cross-section of the cloud aligned with the viewing azimuthal direction is measured, using all nine cameras. The methodology presented is an important step towards more routine retrievals of the 3D geometrical reconstruction of isolated, deep-convective clouds. Such reconstructions are a necessary prerequisite to the subsequent 3D radiative transfer modeling used to aid the remote sensing of the elusive microphysical properties of such clouds. Numéro de notice : A2006-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.09.016 En ligne : https://doi.org/10.1016/j.rse.2005.09.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27760
in Remote sensing of environment > vol 100 n° 2 (30 January 2006) . - pp 143 - 149[article]