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Post-fire vegetation regrowth detection in the Deiva Marina region (Liguria-Italy) using Landsat TM and ETM+ data

Author

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  • Solans Vila, José Pablo
  • Barbosa, Paulo

Abstract

Obtaining quantitative information about the recovery of fire-affected ecosystems is of utmost importance from the management and decision-making point of view. Nowadays the concern about natural environment protection and recovery is much greater than in the past. However, the resources and tools available for its management are still not sufficient. Thus, attention and precision is needed when decisions must be taken. Quantitative estimates on how the vegetation is recovering after a fire can be of help for evaluating the necessity of human intervention on the fire-affected ecosystem, and their importance will grow as the problem of forest fires, climate change and desertification increases.

Suggested Citation

  • Solans Vila, José Pablo & Barbosa, Paulo, 2010. "Post-fire vegetation regrowth detection in the Deiva Marina region (Liguria-Italy) using Landsat TM and ETM+ data," Ecological Modelling, Elsevier, vol. 221(1), pages 75-84.
  • Handle: RePEc:eee:ecomod:v:221:y:2010:i:1:p:75-84
    DOI: 10.1016/j.ecolmodel.2009.03.011
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    Cited by:

    1. Aru Han & Song Qing & Yongbin Bao & Li Na & Yuhai Bao & Xingpeng Liu & Jiquan Zhang & Chunyi Wang, 2021. "Short-Term Effects of Fire Severity on Vegetation Based on Sentinel-2 Satellite Data," Sustainability, MDPI, vol. 13(1), pages 1-21, January.

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