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Created: 2017-05-04 10:37:53.262 by: Generation Service
The exclusive economic zones (EEZ) of coastal countries are coming under increasing pressure from various economic sectors such as fishing, aquaculture, shipping and energy production. In Europe, there is a policy to expand the maritime economic sector without damaging the environment by ensuring that these activities comply with legally binding Directives, such as the Marine Strategy Framework Directive (MSFD). However, monitoring an extensive maritime area is a logistical and economic challenge. Remote sensing is considered one of the most cost effective, methods for providing the spatial and temporal environmental data that will be necessary for the effective implementation of the MSFD. However, there is still a concern about the uncertainties associated with remote sensed products. This study has tested how a specific satellite product can contribute to the monitoring of a MSFD Descriptor for \"good environmental status\" (GES). The results show that the quality of the remote sensing product Algal Pigment Index 1 (API 1) from the MEdium Resolution Imaging Spectrometer (MERIS) sensor of the European Space Agency for ocean colour products can be effectively validated with in situ data from three stations off the SW Iberian Peninsula. The validation results show good agreement between the MERIS API 1 and the in situ data for the two more offshore stations, with a higher coefficient of determination (R-2) of 0.79, and with lower uncertainties for the average relative percentage difference (RPD) of 24.6% and 27.9% and a root mean square error (RMSE) of 0.40 and 0.38 for Stations B and C, respectively. Near to the coast, Station A has the lowest R-2 of 0.63 and the highest uncertainties with an RPD of 112.9% and a RMSE of 1.00. It is also the station most affected by adjacency effects from the land: when the Improved Contrast between Ocean and Land processor (ICOL) is applied the R-2 increases to 0.77 and there is a 30% reduction in the uncertainties estimated by RPD. The MERIS API 1 product decreases from inshore to offshore, with higher values occurring mainly between early spring and the end of the summer, and with lower values during winter. By using the satellite images for API 1, it is possible to detect and track the development of algal blooms in coastal and marine waters, demonstrating the usefulness of remote sensing for supporting the implementation of the MSFD with respect to Descriptor 5: Eutrophication. It is probable that remote sensing will also prove to be useful for monitoring other Descriptors of the MSFD. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
Creator: http://everest.psnc.pl/users/generation_service/
Domains: geology
Concepts: remote sensing stations uncertainties product Descriptor implementation
Expressions: satellite product remote sensing product
Places: Europe Iberia
Organizations: European Space Agency
Created: 2018-08-01 15:19:58.157 by: Generation Service
Paper abstract:The aims of this study were (1) to analyse whether the hydrological change caused by management actions have affected the ecological status of the lagoon, and (2) to discuss the suitability of several physicochemical and biological indicators for the assessment of the ecological status in this kind of coastal ecosystem.
Creator: http://everest.psnc.pl/users/generation_service/
Domains: ecology
Concepts: status lagoon Resource change
Expressions: Badosa A. man-made change
Places: Iberia
Created: 2018-09-24 13:30:19.566 by: Jose Manuel Gomez Perez
September 11, 2018, 09:30-16:00DLR-Oberpfaffenhofen, Earth Observation Center The workshop introduced and discussed Research Lifecycle Management using Research Objects in collaborative Virtual Research Environments in Earth and Environmental Sciences. It was held in the context of the EU Horizon 2020 project EVER-EST (https://ever-est.eu/). The project is led by the European Space Agency with DLR being one of the twelve project partners. In this workshop scientists shared hands-on experience in conducting research projects using the Research Object Platform ROHub and the EVER-EST Virtual Research Environment. We discussed with the Earth and Environmental Science user community experiences and perspectives for Research Lifecycle Management and Research Objects in Virtual Research Environments in the context of Open Science.
Creator: http://everest.psnc.pl/users/jmgomez
Domains: cultural terms biology
Concepts: Research Data DLR Data Management citation Objects management Earth
Expressions: Embedding research data management support research environment expert system Iberia research objects Jos Research project dlr Oberpfaffenhofen Research Lifecycle Management in Earth attribution data
People: Katrin Molch Rosemarie Leone
Places: Iberia Kanton Uri
Organizations: European Space Agency Interior
Created: 2018-08-02 13:15:18.618 by: Generation Service
Paper abstract:The aims of this study were (1) to analyse whether the hydrological change caused by management actions have affected the ecological status of the lagoon, and (2) to discuss the suitability of several physicochemical and biological indicators for the assessment of the ecological status in this kind of coastal ecosystem.
Creator: http://everest.psnc.pl/users/generation_service/
Domains: hydrography
Concepts: lagoon change NE variation
Expressions: ecological status short-term variation
Places: Iberia
Created: 2018-06-20 11:28:48.913 by: Generation Service
The exclusive economic zones (EEZ) of coastal countries are coming under increasing pressure from various economic sectors such as fishing, aquaculture, shipping and energy production. In Europe, there is a policy to expand the maritime economic sector without damaging the environment by ensuring that these activities comply with legally binding Directives, such as the Marine Strategy Framework Directive (MSFD). However, monitoring an extensive maritime area is a logistical and economic challenge. Remote sensing is considered one of the most cost effective, methods for providing the spatial and temporal environmental data that will be necessary for the effective implementation of the MSFD. However, there is still a concern about the uncertainties associated with remote sensed products. This study has tested how a specific satellite product can contribute to the monitoring of a MSFD Descriptor for \"good environmental status\" (GES). The results show that the quality of the remote sensing product Algal Pigment Index 1 (API 1) from the MEdium Resolution Imaging Spectrometer (MERIS) sensor of the European Space Agency for ocean colour products can be effectively validated with in situ data from three stations off the SW Iberian Peninsula. The validation results show good agreement between the MERIS API 1 and the in situ data for the two more offshore stations, with a higher coefficient of determination (R-2) of 0.79, and with lower uncertainties for the average relative percentage difference (RPD) of 24.6% and 27.9% and a root mean square error (RMSE) of 0.40 and 0.38 for Stations B and C, respectively. Near to the coast, Station A has the lowest R-2 of 0.63 and the highest uncertainties with an RPD of 112.9% and a RMSE of 1.00. It is also the station most affected by adjacency effects from the land: when the Improved Contrast between Ocean and Land processor (ICOL) is applied the R-2 increases to 0.77 and there is a 30% reduction in the uncertainties estimated by RPD. The MERIS API 1 product decreases from inshore to offshore, with higher values occurring mainly between early spring and the end of the summer, and with lower values during winter. By using the satellite images for API 1, it is possible to detect and track the development of algal blooms in coastal and marine waters, demonstrating the usefulness of remote sensing for supporting the implementation of the MSFD with respect to Descriptor 5: Eutrophication. It is probable that remote sensing will also prove to be useful for monitoring other Descriptors of the MSFD. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
Creator: http://everest.psnc.pl/users/generation_service/
Domains: geology
Concepts: remote sensing stations uncertainties product Descriptor implementation
Expressions: satellite product remote sensing product
Places: Europe Iberia
Organizations: European Space Agency