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On the Use of Satellite Remote Sensing Data to Characterize and Map Fuel Types

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Book cover Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

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Abstract

Satellite remote sensing can successfully cope with different aspects of fire management problems, such as danger estimation, fire detection, burned area mapping and post-fire vegetation recovery. In particular, remote sensing can provide valuable data on type (namely distribution and amount of fuels) and status of vegetation in a consistent way at different spatial and temporal scales. The characterization and mapping of fuel types is one of the most important factors that should be taken into consideration for wildland fire prevention and pre-fire planning. In this paper, we provide a brief overview on the use of satellite data for the characterization and mapping of fuel type. Such research activities are part of the FUELMAP project, funded by JRC and focused on the development of fuel models for European ecosystems.

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Authors and Affiliations

  1. IMAA-CNR C.da Santa Loja, zona Industriale, 85050, Tito Scalo, Potenza, Italy

    Antonio Lanorte & Rosa Lasaponara

  2. DIFA -UNIBAS Potenza, Italy

    Rosa Lasaponara

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  1. Antonio Lanorte
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  2. Rosa Lasaponara
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Editors and Affiliations

  1. Basilicata University Potenza, L.I.S.U.T. - D.A.P.I.T., 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. Department of Applied Mathematics and Computational Sciences, University of Cantabria,, Avda. de los Castros, s/n, Santander, C.P. 39005, Spain

    Andrés Iglesias

  4. School of Business Systems, Monash University, VIC 3800, Clayton, Australia

    David Taniar

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

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Lanorte, A., Lasaponara, R. (2011). On the Use of Satellite Remote Sensing Data to Characterize and Map Fuel Types. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21887-3_27

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