@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS002 prodottidellaricerca:prodotto prodotto:ID59750 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA1221 pubblicazioni:autoreCNRDi prodotto:ID59750 . @prefix modulo: . modulo:ID1919 prodottidellaricerca:prodotto prodotto:ID59750 . @prefix rdf: . prodotto:ID59750 rdf:type prodotto:TIPO1101 . @prefix retescientifica: . prodotto:ID59750 rdf:type retescientifica:ProdottoDellaRicerca . @prefix rdfs: . prodotto:ID59750 rdfs:label "Comparison between remote-sensed data and in situ measurements in coastal waters: The Taranto sea case. (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID59750 pubblicazioni:anno "2004-01-01T00:00:00+01:00"^^xsd:gYear . @prefix skos: . prodotto:ID59750 skos:altLabel "
R. MATARRESE, V. DE PASQUALE, L. GUERRIERO, A. MOREA, G. PASQUARIELLO, G. UMGIESSER, I. SCROCCARO, G. ALABISO (2004)
Comparison between remote-sensed data and in situ measurements in coastal waters: The Taranto sea case.
in Chemistry in ecology (Print)
"^^rdf:HTML ; pubblicazioni:autori "R. MATARRESE, V. DE PASQUALE, L. GUERRIERO, A. MOREA, G. PASQUARIELLO, G. UMGIESSER, I. SCROCCARO, G. ALABISO"^^xsd:string ; pubblicazioni:paginaInizio "225"^^xsd:string ; pubblicazioni:paginaFine "237"^^xsd:string ; pubblicazioni:numeroVolume "20(3)"^^xsd:string . @prefix ns11: . prodotto:ID59750 pubblicazioni:rivista ns11:ID435714 ; pubblicazioni:descrizioneSinteticaDelProdotto "Monitoring and managing small coastal ecosystems requires a considerable understanding of the temporal dynamics of biophysical factors describing the coastal water systems. For this reason, daily observation from space could be a very efficient tool. The objective of the work described in this paper is to evaluate the contribution of remote sensing to the continuous monitoring of coastal areas. It is well known that in coastal areas, the presence of inorganic suspended sediments and coloured dissolved organic matter can make chlorophyll-concentration measurements from remote sensing difficult. To overcome these difficulties, an alternative approach to the SeaWiFS standard\nchlorophyll algorithm is presented, based on a semi-analytic model for sea water and on the use of MODIS data as input in a model for atmospheric effects removal. Moreover, land contamination (mixed sea-land pixels) can introduce ambiguities in sea-surface temperature measurements from remote sensing. This paper proposes the use of a hydrodynamic model as a time-space interpolator of in situ campaign data, to extensively validate the temperature values extracted from AVHRR sensor. We validated the proposed approach, using experimental field data collected over a two-year campaign in the Taranto Gulf. The results seem to indicate a good agreement between remote-sensed and in situ data.\n"^^xsd:string ; pubblicazioni:affiliazioni "R. MATARRESEa,?, V. DE PASQUALEa, L. GUERRIEROa, A. MOREAa,\nG. PASQUARIELLOb, G. UMGIESSERc, I. SCROCCAROc and G. ALABISOd\naDipartimento di Fisica, Universita` di Bari, via Amendola 173, 70126 Bari, Italy; bCNR-ISSIA,\nVia Amendola 122/0, 70126 Bari, Italy; cCNR-ISMAR, S. Polo 1364, 30125, Venezia, Italy;\ndCNR-IAMC-Sezione Talassografico 'A. Cerruti', Via Roma 3, 74100, Taranto, Italy"^^xsd:string ; pubblicazioni:titolo "Comparison between remote-sensed data and in situ measurements in coastal waters: The Taranto sea case."^^xsd:string ; prodottidellaricerca:abstract "Monitoring and managing small coastal ecosystems requires a considerable understanding of the temporal dynamics\nof biophysical factors describing the coastal water systems. For this reason, daily observation from space could be a\nvery efficient tool. The objective of the work described in this paper is to evaluate the contribution of remote sensing\nto the continuous monitoring of coastal areas. It is well known that in coastal areas, the presence of inorganic\nsuspended sediments and coloured dissolved organic matter can make chlorophyll-concentration measurements\nfrom remote sensing difficult. To overcome these difficulties, an alternative approach to the SeaWiFS standard\nchlorophyll algorithm is presented, based on a semi-analytic model for sea water and on the use of MODIS data\nas input in a model for atmospheric effects removal. Moreover, land contamination (mixed sea-land pixels) can\nintroduce ambiguities in sea-surface temperature measurements from remote sensing. This paper proposes the use\nof a hydrodynamic model as a time-space interpolator of in situ campaign data, to extensively validate the\ntemperature values extracted from AVHRR sensor. We validated the proposed approach, using experimental field\ndata collected over a two-year campaign in the Taranto Gulf. The results seem to indicate a good agreement\nbetween remote-sensed and in situ data."@en ; prodottidellaricerca:prodottoDi modulo:ID1919 , istituto:CDS002 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA1221 . @prefix parolechiave: . prodotto:ID59750 parolechiave:insiemeDiParoleChiave . ns11:ID435714 pubblicazioni:rivistaDi prodotto:ID59750 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID59750 .