| Abstract | 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
chlorophyll 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. |
| Authors | R. MATARRESE, V. DE PASQUALE, L. GUERRIERO, A. MOREA, G. PASQUARIELLO, G. UMGIESSER, I. SCROCCARO, G. ALABISO |
| Text | 59750 2004 Environmental monitoring Environmental monitoring Chlorophyll Finite elements model Coastal waters Comparison between remote sensed data and in situ measurements in coastal waters The Taranto sea case. R. MATARRESE, V. DE PASQUALE, L. GUERRIERO, A. MOREA, G. PASQUARIELLO, G. UMGIESSER, I. SCROCCARO, G. ALABISO R. MATARRESEa,, V. DE PASQUALEa, L. GUERRIEROa, A. MOREAa, G. PASQUARIELLOb, G. UMGIESSERc, I. SCROCCAROc and G. ALABISOd aDipartimento di Fisica, Universita` di Bari, via Amendola 173, 70126 Bari, Italy; bCNR ISSIA, Via Amendola 122/0, 70126 Bari, Italy; cCNR ISMAR, S. Polo 1364, 30125, Venezia, Italy; dCNR IAMC Sezione Talassografico A. Cerruti , Via Roma 3, 74100, Taranto, Italy 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 chlorophyll 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. 20 3 Comparison between remote sensed data and in situ measurements in coastal waters The Taranto sea case. Matarrese_Taranto_CandE.pdf Articolo in rivista Gordon and Breach Science Publishers. 0275 7540 Chemistry in ecology Print Chemistry in ecology Print Chem. ecol. Print Chemistry in ecology. Print Chemistry and ecology Print giorgio.alabiso ALABISO GIORGIO TA.P04.002.001 Fascia Costiera e Ambienti di Transizione analisi strutturale e funzionale delle componenti biotiche ed abiotiche degli ecosistemi per lo sviluppo sostenibile delle attivita |
