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Auteur A. Romo |
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Rapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI / C. Casanova in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : Rapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI Type de document : Article/Communication Auteurs : C. Casanova, Auteur ; A. Romo, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1699 - 1716 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] fusion d'images
[Termes IGN] image MSG
[Termes IGN] image TIROS
[Termes IGN] nuage
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) The aim of this work is to show an automatic method of cloud classification for direct application in civil aviation. We start from the premise of an acceptable trade-off between calculation speed and accuracy in the output data. For this reason, visible and infrared channels of the Meteosat satellite were used alongside data provided by the A/TOVS (Advanced/Tiros-N Operational Vertical Sounder) probe onboard NOAA (National Oceanic and Atmospheric Administration) polar satellites. A historical database of mean temperatures at ground level was also used. The analysis of different significant synoptic and mesoscale situations highlighted the efficacy of this method in the representation of the different cloud structures that normally appear in these situations. Considering the results of the study and given its speed and accuracy, it can be concluded that the method is appropriate for monitoring cloud systems in real time. Numéro de notice : A2005-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326602 En ligne : https://doi.org/10.1080/01431160512331326602 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27344
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1699 - 1716[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt An operational system for the forest fire risk assessment by means of NOAA images / A. Calle (31/05/1999)
contenu dans Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000)
Titre : An operational system for the forest fire risk assessment by means of NOAA images Type de document : Article/Communication Auteurs : A. Calle, Auteur ; José Luis Casanova, Auteur ; A. Romo, Auteur ; F. Gonzalez-Alonso, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 31/05/1999 Conférence : EARSeL 1999, 19th symposium, Remote sensing in the 21st century : economic and environmental applications 31/05/1999 02/06/1999 Valladolid Espagne Importance : pp 363 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alpes-maritimes (06)
[Termes IGN] Aude (11)
[Termes IGN] Bouches-du-Rhône (13)
[Termes IGN] cartographie des risques
[Termes IGN] Gard (30)
[Termes IGN] image NOAA
[Termes IGN] incendie de forêt
[Termes IGN] Italie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Portugal
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] température de surface
[Termes IGN] Var (83)
[Termes IGN] zone à risqueRésumé : (Auteur) The model we show in order to obtain a Forest Fire Risk Assessment combines two kinds of analysis involving NDVI and surface temperature. The University of Valladolid Remote Sensing Laboratory (LATUV) is equipped with a NOAA image receiver, and the risk pattern is practically automated ; in this way after receiving the satellite image on a daily basis and applying the above-mentioned algorithms, detailed maps are produced with information relating to local distribution over the whole country, with Forest Fire Risk levels.This information is very useful to the Fire Prevention Services of the Autonomous Communities during the summer season, when the incidence of forest fires is high. This Risk Assessment is also determined for Portugal, Italy and the mediterranean areas of France. Numéro de notice : C1999-045 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65811