The detection of fires in an operative way is not a finished task in remote sensing. This work present approaches for fire detection and fire monitoring. The described rare detection algorithm exploits a physical radiative transfer model based on a sub-pixel description of the remote sensing data. This model allows refining the detection capabilities in order to perform early detection by exploiting geostationary sensors which have a low spatial resolution but high temporal resolution. Polar sensors are used to supply updated parameters to the physical model. The described fire monitoring approaches allows estimating fire parameters and defining the evolution of the fire, using different spatial resolutions, in order to complete and refine the analysis performed by the detection algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Latest algorithms and scientific developments for forest fire detection and monitoring using MSG/SEVIRI and MODIS sensors


    Contributors:
    Calle, A. (author) / Casanova, J.L. (author) / Moclan, C. (author) / Romo, A.J. (author) / Cisbani, E. (author) / Costantini, M. (author) / Zavagli, M. (author) / Greco, B. (author)


    Publication date :

    2005-01-01


    Size :

    1071766 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Forest fire detection and estimation of forest fire risk index from SEVIRI synthetic images

    Casanova, J.-L. / European Space Agency / European Organization for the Exploitation of Meteorological Satellites | British Library Conference Proceedings | 2000


    Calibration Comparisons Between SEVIRI, MODIS and GOES Data

    Doelling, D. R. / Minnis, P. / Nguyen, L. et al. | British Library Conference Proceedings | 2004


    FIRE DETECTION AND PARAMETERIZATION WITH MSG-SEVIRI SENSOR

    Calle, A. / Casanova, J. L. / Moclan, C. et al. | British Library Conference Proceedings | 2006


    AATSR Land Surface Temperature Product: Comparison with SEVIRI and MODIS in the Framework of CEFLES2 Campaigns

    Soria, G. / Sobrino, J.A. / Atitar, M. et al. | British Library Conference Proceedings | 2008