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  5. Remote sensing support for post fire forest management

Remote sensing support for post fire forest management

Author(s)
Corona, Piermaria
Lamonaca, Andrea
Chirici, Gherardo
Date Issued
2008
Type
Article
Abstract
Monitoring of forest burnt areas has several aims: to locate and estimate the extent of such areas; to assess the damages suffered by the forest stands; to check the ability of the ecosystem to naturally recover after the fire; to support the planning of reclamation interventions; to assess the dynamics (pattern and speed) of the natural recovery; to check the outcome of any eventual restoration intervention. Remote sensing is an important source of information to support all such tasks. In the last decades, the effectiveness of remotely sensed imagery is increasing due to the advancement of tools and techniques, and to the lowering of the costs, in relative terms. For an effective support to post-fire management (burnt scar perimeter mapping, damage severity assessment, post-fire vegetation monitoring), a mapping scale of at least 1:10000-1:20000 is required: hence, the selection of remotely sensed data is restricted to aerial imagery and to satellite imagery characterized by high (HR) and, above all, very high (VHR) spatial resolution. In the last decade, HR and VHR passive (optical) remote sensing has widespread, providing affordable multitemporal and multispectral pictures of the considered phenomena, at different scales (spatial, temporal and spectral resolutions) with reference to the monitoring needs. In the light of such a potential, the integration of GPS field survey and imagery by light aerial vectors or VHR satellite is currently sought as a viable option for the post-fire monitoring.
Citation
Corona P, Lamonaca A, Chirici G (2008). Remote sensing support for post fire forest management. iForest 1: 6-12. [online 2008-02-28] URL: http://www.sisef.it/iforest/show.php?id=305
Subjects

burnt scar perimeter ...

Handle
http://hdl.handle.net/2067/1939
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Chirici_305_iForest.pdf

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594.54 KB

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091dfec583a88b32d9d3a36c2cc6cbd7

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