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Analysis of the environment factors in forest wildfires in Aznalcollar and Sierra Bermeja / A.S. Redondo (31/05/1999)

Public contenu dans Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000) Titre : Analysis of the environment factors in forest wildfires in Aznalcollar and Sierra Bermeja Type de document : Article/Communication Auteurs : A.S. Redondo, Auteur ; J.V. Giraldez Cervera, 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 343 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Andalousie [Termes IGN] écosystème [Termes IGN] image NOAA-AVHRR [Termes IGN] incendie de forêt [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] pente [Termes IGN] risque naturel [Termes IGN] Séville [Termes IGN] température de l'air [Termes IGN] vent Résumé : (Auteur) Different natural factors make the Mediterranean ecosystem specially vulnerable to forest wildfires: the weather, with extremely long dry summers; the strong winds, which dry the soil and vegetation and spread the fire once it has begun; the abrupt topography and finally, the human factor. In late spring, May 30 to June 4 in 1995, a wildfire broke burning an area of 1800 ha called "EI Madrofialejo" (Sevilla). This area is characterized for his rough topography, with deep narrow valleys. One month and half later, an area of 1500 ha of forest was burnt in Sierra Benneja, (Malaga). The development of temperature and vegetation index maps from the daily NOAAAVHRR sensor databases, and the synoptical meteorological maps analysis, enable the study of increase in temperature and the NDVI decrease of the previous days and during the fire, as well as the climatic conditions of those dates. Numéro de notice : C1999-042 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65808

Temperature maps obtained from satellite images for a forest wildfire temporal evolution analysis / A.S. Redondo (31/05/1999)

Public contenu dans Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000) Titre : Temperature maps obtained from satellite images for a forest wildfire temporal evolution analysis Type de document : Article/Communication Auteurs : A.S. Redondo, Auteur ; J.V. Giraldez Cervera, 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 349 - 356 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] corps noir [Termes IGN] Espagne [Termes IGN] image NOAA-AVHRR [Termes IGN] image TIROS [Termes IGN] incendie de forêt [Termes IGN] température de l'air Résumé : (Auteur) The conversion of Digital Counts (DC) to surface temperature, for Thermal Infrared wavelenghts in TIROS-NOAA satellites, requires three steps: 1) calibration; 2) conversion of radiance to true temperature; 3) soil temperature after atmospheric and emissivity correction. The transformation of DC to radiance of the scene depends on the blackbody internal temperature and the representative cold space view sensed with the platinum resistance thermomethers. Header words 18, 19 and 20 each contain those measures and header words 23 to 52 provide ten internal target data each for Infra Red channels 3, 4 and 5. The conversion to brightness temperature from radiance is performed using the inverse of Planck's radiation equation. The non-linearity in the calibration is accounted for through the addition of a correction term to the brightness temperature of scene. From true brightness temperature, the split-window algorithm, determines the surface temperature. This methodology is applied to a group of images dated before, during and after a fire in Aznalcollar (Spain) for a temporal evolution analysis. Numéro de notice : C1999-043 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65809