A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment.

COSMO-SkyMed Earth Observation coastal risk ground truths integrated coastal zone management shoreline erosion

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
21 Mar 2019
Historique:
received: 15 02 2019
revised: 12 03 2019
accepted: 15 03 2019
entrez: 24 3 2019
pubmed: 25 3 2019
medline: 25 3 2019
Statut: epublish

Résumé

The traditional approach for coastal monitoring consists in ground investigations that are burdensome both in terms of logistics and costs, on a national or even regional scale. Earth Observation (EO) techniques can represent a cost-effective alternative for a wide scale coastal monitoring. Thanks to the all-weather day/night radar imaging capability and to the nationwide acquisition plan named MapItaly, devised by the Italian Space Agency and active since 2010, COSMO-SkyMed (CSK) constellation is able to provide X-band images covering the Italian territory. However, any remote sensing approach must be accurately calibrated and corrected taking into account the marine conditions. Therefore, in situ data are essential for proper EO data selection, geocoding, tidal corrections and validation of EO products. A combined semi-automatic technique for coastal risk assessment and monitoring, named COSMO-Beach, is presented here, integrating ground truths with EO data, as well as its application on two different test sites in Apulia Region (South Italy). The research has shown that CSK data for coastal monitoring ensure a shoreline detection accuracy lower than image pixel resolution, and also providing several advantages: low-cost data, a short revisit period, operational continuity and a low computational time.

Identifiants

pubmed: 30901935
pii: s19061399
doi: 10.3390/s19061399
pmc: PMC6470593
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

IEEE Trans Pattern Anal Mach Intell. 1986 Jun;8(6):679-98
pubmed: 21869365
PLoS One. 2014 Aug 19;9(8):e105437
pubmed: 25137155

Auteurs

Maria Francesca Bruno (MF)

Department of Civil, Environmental, Building Engineering and Chemistry, Technical University of Bari-Via E. Orabona, 4, 70125 Bari, Italy. mariafrancesca.bruno@poliba.it.

Matteo Gianluca Molfetta (MG)

Department of Civil, Environmental, Building Engineering and Chemistry, Technical University of Bari-Via E. Orabona, 4, 70125 Bari, Italy. matteogianluca.molfetta@poliba.it.

Luigi Pratola (L)

Department of Civil, Environmental, Building Engineering and Chemistry, Technical University of Bari-Via E. Orabona, 4, 70125 Bari, Italy. luigi.pratola@poliba.it.

Michele Mossa (M)

Department of Civil, Environmental, Building Engineering and Chemistry, Technical University of Bari-Via E. Orabona, 4, 70125 Bari, Italy. michele.mossa@poliba.it.

Raffaele Nutricato (R)

Geophysical Applications Processing (GAP) s.r.l., 70126 Bari, Italy. raffaele.nutricato@gapsrl.eu.

Alberto Morea (A)

Geophysical Applications Processing (GAP) s.r.l., 70126 Bari, Italy. alberto.morea@uniba.it.

Davide Oscar Nitti (DO)

Geophysical Applications Processing (GAP) s.r.l., 70126 Bari, Italy. davide.nitti@gapsrl.eu.

Maria Teresa Chiaradia (MT)

Department of Physics "M. Merlin", Technical University of Bari, 70126 Bari, Italy. mariateresa.chiaradia@ba.infn.it.

Classifications MeSH