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A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment
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 t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470593/ https://www.ncbi.nlm.nih.gov/pubmed/30901935 http://dx.doi.org/10.3390/s19061399 |
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author | Bruno, Maria Francesca Molfetta, Matteo Gianluca Pratola, Luigi Mossa, Michele Nutricato, Raffaele Morea, Alberto Nitti, Davide Oscar Chiaradia, Maria Teresa |
author_facet | Bruno, Maria Francesca Molfetta, Matteo Gianluca Pratola, Luigi Mossa, Michele Nutricato, Raffaele Morea, Alberto Nitti, Davide Oscar Chiaradia, Maria Teresa |
author_sort | Bruno, Maria Francesca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6470593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64705932019-04-26 A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment Bruno, Maria Francesca Molfetta, Matteo Gianluca Pratola, Luigi Mossa, Michele Nutricato, Raffaele Morea, Alberto Nitti, Davide Oscar Chiaradia, Maria Teresa Sensors (Basel) Article 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. MDPI 2019-03-21 /pmc/articles/PMC6470593/ /pubmed/30901935 http://dx.doi.org/10.3390/s19061399 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bruno, Maria Francesca Molfetta, Matteo Gianluca Pratola, Luigi Mossa, Michele Nutricato, Raffaele Morea, Alberto Nitti, Davide Oscar Chiaradia, Maria Teresa A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title | A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title_full | A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title_fullStr | A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title_full_unstemmed | A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title_short | A Combined Approach of Field Data and Earth Observation for Coastal Risk Assessment |
title_sort | combined approach of field data and earth observation for coastal risk assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470593/ https://www.ncbi.nlm.nih.gov/pubmed/30901935 http://dx.doi.org/10.3390/s19061399 |
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