Skip to main content

Validation of active forest fires detected by MSG-SEVIRI by means of MODIS hot spots and AWiFS images

Buy Article:

$60.90 plus tax (Refund Policy)


The detection of forest fires and the determination of their parameters have been usually carried out by polar-orbit sensors: AVHRR, (A)ATSR, BIRD, and MODIS mainly. However, their time resolution prevents them from operating in real time. In contrast, the new geostationary sensors have very appropriate capacities for the observation of the Earth and monitoring of forest fires, as is being proved. GOES, MSG, and MTSAT are already operative, and they have led the international community to think that the global observation network in real time may become a reality. The implementation of this network is the aim of the Global Observations of Forest Cover and Land Cover Dynamics (GOFC/GOLD) FIRE Mapping and Monitoring programme, focused internationally on taking decisions concerning the research of the Global Change. In this Letter, the operation in real time by the MSG-SEVIRI sensor over the Iberian Peninsula is studied. On the other hand, the reliability of validation results by means of polar sensors, with a finer spatial resolution, is difficult to analyse due to errors caused by confused location of fires. This Letter shows that fires detected by means of MSG-SEVIRI can be an useful option in order to estimate burnt areas at global scale, considering a spatial resolution of 40 km.

Document Type: Research Article


Affiliations: 1: Remote Sensing Laboratory, University of Valladolid, Dp. Applied Physics, Faculty of Sciences, 47071-Valladolid, Spain 2: Remote Sensing Laboratory, INIA, Ministry of Education and Science, Crta. ha Coruna, km. 7.5, 28040 Madrid, Spain 3: EUIT Forestal, Universidad Politecnica de Madrid, Avda. de Ramiro de Maeztu s/n, 28040 Madrid, Spain

Publication date: June 1, 2008

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more