{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T12:31:01Z","timestamp":1774960261773,"version":"3.50.1"},"reference-count":66,"publisher":"CSIRO Publishing","issue":"7","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"vor","delay-in-days":3923,"URL":"https:\/\/doi.org\/10.1071\/journalslicense"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10,23]]},"abstract":"<jats:p>Here we present a procedure that allows the operational generation of daily maps of fire danger over Mediterranean Europe. These are based on integrated use of vegetation cover maps, weather data and fire activity as detected by remote sensing from space. The study covers the period of July\u2013August 2007 to 2009. It is demonstrated that statistical models based on two-parameter generalised Pareto (GP) distributions adequately fit the observed samples of fire duration and that these models are significantly improved when the Fire Weather Index (FWI), which rates fire danger, is integrated as a covariate of scale parameters of GP distributions. Probabilities of fire duration exceeding specified thresholds are then used to calibrate FWI leading to the definition of five classes of fire danger. Fire duration is estimated on the basis of 15-min data provided by Meteosat Second Generation (MSG) satellites and corresponds to the total number of hours in which fire activity is detected in a single MSG pixel during one day. Considering all observed fire events with duration above 1\u00a0h, the relative number of events steeply increases with classes of increasing fire danger and no fire activity was recorded in the class of low danger. Defined classes of fire danger provide useful information for wildfire management and are based on the Fire Risk Mapping product that is being disseminated on a daily basis by the EUMETSAT Satellite Application Facility on Land Surface Analysis.<\/jats:p>","DOI":"10.1071\/wf13157","type":"journal-article","created":{"date-parts":[[2014,8,8]],"date-time":"2014-08-08T01:39:58Z","timestamp":1407461998000},"page":"945-958","source":"Crossref","is-referenced-by-count":41,"title":["Calibration of the Fire Weather Index over Mediterranean Europe based on fire activity retrieved from MSG satellite imagery"],"prefix":"10.1071","volume":"23","author":[{"given":"Carlos C.","family":"DaCamara","sequence":"first","affiliation":[{"name":"AInstituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C8, Piso 3, PT-1749-016 Lisboa, Portugal."},{"name":"ECorresponding author. Email: cdcamara@fc.ul.pt"}]},{"given":"Teresa J.","family":"Calado","sequence":"additional","affiliation":[{"name":"AInstituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C8, Piso 3, PT-1749-016 Lisboa, Portugal."}]},{"given":"Sofia L.","family":"Ermida","sequence":"additional","affiliation":[{"name":"AInstituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C8, Piso 3, PT-1749-016 Lisboa, Portugal."}]},{"given":"Isabel F.","family":"Trigo","sequence":"additional","affiliation":[{"name":"AInstituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C8, Piso 3, PT-1749-016 Lisboa, Portugal."},{"name":"CInstituto Portugu\u00eas do Mar e da Atmosfera (IPMA), Rua C do Aeroporto, Piso 3, PT-1749-077 Lisboa, Portugal."}]},{"given":"Malik","family":"Amraoui","sequence":"additional","affiliation":[{"name":"AInstituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C8, Piso 3, PT-1749-016 Lisboa, Portugal."},{"name":"BUniversidade de Tr\u00e1s-os-Montes e Alto Douro (UTAD), Escola de Ci\u00eancias e Tecnologia, Quinta de Prados, PT-5001-801 Vila Real, Portugal."}]},{"given":"Kamil F.","family":"Turkman","sequence":"additional","affiliation":[{"name":"DDepartamento de Estat\u00edstica e Investiga\u00e7\u00e3o Operacional (DEIO), Centro de Estat\u00edstica e Aplica\u00e7\u00f5es da Universidade de Lisboa (CEAUL), Faculdade de Ci\u00eancias, Universidade de Lisboa, Campo Grande, Edif\u00edcio C6, Piso 4, PT-1749-016 Lisboa, Portugal."}]}],"member":"67","published-online":{"date-parts":[[2014,8,8]]},"reference":[{"key":"2025112620261930100_R1","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1016\/J.RSE.2009.12.019","article-title":"Detection and monitoring of African vegetation fires using MSG-SEVIRI 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