Two multitemporal techniques based on the consecutive analysis of multispectral data ranging from high-temporal to high-spatial resolution, were implemented into a remote-sensing system dedicated to the quantitative monitoring of wildfires in the Mediterranean Region, operating at low-to-nil supervision levels. The system covers the whole fire remote sensing chain, from accurate hot-spot detection and location to high resolution mapping of burn scars. It operates on strong multi-payload basis, as the first part of the processing chain acts on data acquired by the multispectral geostationary payload SEVIRI, whereas the second was designed to operate switching between data acquired by LEO high resolution payloads TM, ETM+, ASTER, HRVIR and LISS 3, as a function of availability and content. © 2010 IEEE.

Maximizing the detection and mapping of minimal area burn scars with a multi-payload multi-method automated approach: Application to summer fire seasons in Italy / LANEVE, Giovanni; Barbara, Hirn; Concettina Di, Bartola; Fabrizio, Ferrucci. - (2010), pp. 510-512. (Intervento presentato al convegno 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 tenutosi a Honolulu; United States nel 25 July 2010 through 30 July 2010) [10.1109/igarss.2010.5649906].

Maximizing the detection and mapping of minimal area burn scars with a multi-payload multi-method automated approach: Application to summer fire seasons in Italy

LANEVE, Giovanni;
2010

Abstract

Two multitemporal techniques based on the consecutive analysis of multispectral data ranging from high-temporal to high-spatial resolution, were implemented into a remote-sensing system dedicated to the quantitative monitoring of wildfires in the Mediterranean Region, operating at low-to-nil supervision levels. The system covers the whole fire remote sensing chain, from accurate hot-spot detection and location to high resolution mapping of burn scars. It operates on strong multi-payload basis, as the first part of the processing chain acts on data acquired by the multispectral geostationary payload SEVIRI, whereas the second was designed to operate switching between data acquired by LEO high resolution payloads TM, ETM+, ASTER, HRVIR and LISS 3, as a function of availability and content. © 2010 IEEE.
2010
2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
fire; geostationary; leo; multispectral
Pubblicazione in atti di convegno::04b Atto di convegno in volume
Maximizing the detection and mapping of minimal area burn scars with a multi-payload multi-method automated approach: Application to summer fire seasons in Italy / LANEVE, Giovanni; Barbara, Hirn; Concettina Di, Bartola; Fabrizio, Ferrucci. - (2010), pp. 510-512. (Intervento presentato al convegno 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 tenutosi a Honolulu; United States nel 25 July 2010 through 30 July 2010) [10.1109/igarss.2010.5649906].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/355219
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