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EnglishWe present an adaptive system for the automatic assessment of both physical and anthropic fire impact factors on periurban forestries. The aim is to provide an integrated methodology exploiting a complex data structure built upon a multi resolution grid gathering historical land exploitation and meteorological data, records of human habits together with suitably segmented and interpreted high resolution X-SAR images, and several other information sources. The contribution of the model and its novelty rely mainly on the definition of a learning schema lifting different factors and aspects of fire causes, including physical, social and behavioural ones, to the design of a fire susceptibility map, of a specific urban forestry. The outcome is an integrated geospatial database providing an infrastructure that merges cartography, heterogeneous data and complex analysis, in so establishing a digital environment where users and tools are interactively connected in an efficient and flexible way.
| Titolo: | High-resolution SAR images for fire susceptibility estimation in urban forestry |
| Autori: | SAGRATELLA, SIMONE (Corresponding author) |
| Data di pubblicazione: | 2011 |
| Handle: | http://hdl.handle.net/11573/403069 |
| Appartiene alla tipologia: | 04b Atto di convegno in volume |
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| File | Note | Tipologia | Licenza | |
|---|---|---|---|---|
| Canale_High-resolution_2011.pdf | Versione editoriale |  | Open Access Visualizza/Apri | |
| ISPRS-Archives_Indice_ 2011.pdf | Versione editoriale | Tutti i diritti riservati (All rights reserved) | Administrator Richiedi una copia |
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