@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS055 prodottidellaricerca:prodotto prodotto:ID136920 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA9000 pubblicazioni:autoreCNRDi prodotto:ID136920 . @prefix unitaDiPersonaleEsterno: . unitaDiPersonaleEsterno:ID14915 pubblicazioni:autoreCNRDi prodotto:ID136920 . unitaDiPersonaleInterno:MATRICOLA11390 pubblicazioni:autoreCNRDi prodotto:ID136920 . @prefix modulo: . modulo:ID7858 prodottidellaricerca:prodotto prodotto:ID136920 . @prefix rdf: . @prefix retescientifica: . prodotto:ID136920 rdf:type retescientifica:ProdottoDellaRicerca , prodotto:TIPO1201 . @prefix rdfs: . prodotto:ID136920 rdfs:label "On the Estimation of Fire Severity Using Satellite ASTER Data and Spatial Autocorrelation Statistics (Contributo in volume (capitolo o saggio))"@en . @prefix xsd: . prodotto:ID136920 pubblicazioni:anno "2010-01-01T00:00:00+01:00"^^xsd:gYear . @prefix skos: . prodotto:ID136920 skos:altLabel "
Coluzzi R; Masini N; Lanorte A; Lasaponara R (2010)
On the Estimation of Fire Severity Using Satellite ASTER Data and Spatial Autocorrelation Statistics
Springer-Verlag, Berlin (Germania) in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2010, PT 1, PROCEEDINGS, 2010
"^^rdf:HTML ; pubblicazioni:autori "Coluzzi R; Masini N; Lanorte A; Lasaponara R"^^xsd:string ; pubblicazioni:paginaInizio "361"^^xsd:string ; pubblicazioni:paginaFine "373"^^xsd:string ; pubblicazioni:citta "BERLIN"^^xsd:string ; pubblicazioni:titoloVolume "COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2010, PT 1, PROCEEDINGS"^^xsd:string ; pubblicazioni:volumeInCollana "6016"^^xsd:string ; pubblicazioni:pagineTotali "13"^^xsd:string ; pubblicazioni:descrizioneSinteticaDelProdotto "What are the ecological effects of fires? The evaluation of fire-affected areas and fire severity is of primary importance to answer this question, because fire strongly affects the ecological processes, such as, productivity level, creation of altered patches, modification in vegetation structure and shifts in vegetation cover composition, as well as land surface processes (such as surface energy, water balance, carbon cycle). Traditional methods of recording fire burned areas and fire severity involve expensive and time-consuming field survey. The available remote sensing technologies may allow us to develop standardized burn-severity maps for evaluating fire effects and addressing post fire management activities. This paper is focused on preliminary results we obtained from ongoing research focused on the evaluation of spatial variability of fire effects on vegetation. For the purposes of this study satellite ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data have been used. Both single (post-fire) and multi-date (pre and post fire) ASTER images were processed for some test areas in Southern Italy. Spatial autocorrelation statistics, such as Moran's I, Geary's C, and Getis-Ord Local Gi index (see Anselin 1995; Getis and Ord 1992), were used to measure and analyze the degree of dependency among spectral features of burned areas."^^xsd:string ; skos:note "ISI Web of Science (WOS)"^^xsd:string ; pubblicazioni:affiliazioni "Coluzzi R, CNR\nMasini N, CNR\nLanorte A, CNR\nLasaponara R, CNR"^^xsd:string ; pubblicazioni:titolo "On the Estimation of Fire Severity Using Satellite ASTER Data and Spatial Autocorrelation Statistics"^^xsd:string ; pubblicazioni:inCollana "COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2010, PT 1, PROCEEDINGS"^^xsd:string ; pubblicazioni:isbn "978-3-642-21886-6"^^xsd:string ; prodottidellaricerca:abstract "What are the ecological effects of fires? The evaluation of fire-\naffected areas and fire severity is of primary importance to answer this question, \nbecause fire strongly affects the ecological processes, such as, productivity \nlevel, creation of altered patches, modification in vegetation structure and shifts \nin vegetation cover composition, as well as land surface processes (such as sur-\nface energy, water balance, carbon cycle). Traditional methods of recording fire \nburned areas and fire severity involve expensive and time -consuming field sur-\nvey. The available remote sensing technologies may allow us to develop stan-\ndardized burn-severity maps for evaluating fire effects and addressing post fire \nmanagement activities. This paper is focused on preliminary results we obtained \nfrom ongoing research focused on the evaluation of spatial variability of fire ef-\nfects on vegetation. For the purposes of this study satellite ASTER (Advanced \nSpaceborne Thermal Emission and Reflection Radiometer) data have been \nused. Both single (post-fire) and multi-date (pre and post fire) ASTER images \nwere processed for some test areas in Southern Italy. Spatial autocorrelation sta-\ntistics, such as Moran's I, Geary's C, and Getis-Ord Local Gi index (see \nAnselin 1995; Getis and Ord 1992), were used to measure and analyze the de-\ngree of dependency among spectral features of burned areas." . @prefix ns12: . prodotto:ID136920 pubblicazioni:editore ns12:ID550 ; prodottidellaricerca:prodottoDi istituto:CDS055 , modulo:ID7858 ; pubblicazioni:autoreCNR unitaDiPersonaleEsterno:ID14915 , unitaDiPersonaleInterno:MATRICOLA9000 , unitaDiPersonaleInterno:MATRICOLA11390 . @prefix parolechiave: . prodotto:ID136920 parolechiave:insiemeDiParoleChiave . ns12:ID550 pubblicazioni:editoreDi prodotto:ID136920 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID136920 .