{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T01:19:38Z","timestamp":1771550378834,"version":"3.50.1"},"reference-count":90,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T00:00:00Z","timestamp":1649203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union\u2019s Horizon 2020 research and innovation programme","award":["869710"],"award-info":[{"award-number":["869710"]}]},{"name":"Marine Institute Networking and Travel grant","award":["NT\/18\/22"],"award-info":[{"award-number":["NT\/18\/22"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>As an island nation, Ireland needs to ensure effective management measures to protect marine ecosystems and their services, such as the provision of fishery resources. The characterization of marine waters using satellite data can contribute to a better understanding of variations in the upper ocean and, consequently, the effect of their changes on species populations. In this study, nineteen years (1998\u20132016) of monthly data of essential climate variables (ECVs), chlorophyll (Chl-a), and the diffuse attenuation coefficient (K490) were used, together with previous analyses of sea surface temperature (SST), to investigate the temporal and spatial variability of surface waters around Ireland. The study area was restricted to specific geographically delineated divisions, as defined by the International Council of the Exploration of the Seas (ICES). The results showed that SST and Chl-a were positively and significantly correlated in ICES divisions corresponding to oceanic waters, while in coastal divisions, SST and Chl-a showed a significant negative correlation. Chl-a and K490 were positively correlated in all cases, suggesting an important role of phytoplankton in light attenuation. Chl-a and K490 had significant trends in most of the divisions, reaching maximum values of 1.45% and 0.08% per year, respectively. The strongest seasonal Chl-a trends were observed in divisions VIId and VIIe (the English Channel), primarily in the summer months, followed by northern divisions VIa (west of Scotland) and VIb (Rockall) in the winter months.<\/jats:p>","DOI":"10.3390\/rs14071749","type":"journal-article","created":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T05:11:34Z","timestamp":1649221894000},"page":"1749","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Using Satellite-Based Data to Facilitate Consistent Monitoring of the Marine Environment around Ireland"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3346-8035","authenticated-orcid":false,"given":"Gema","family":"Casal","sequence":"first","affiliation":[{"name":"National Centre for Geocomputation, Maynooth University, Maynooth, Co. Kildare, Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1026-6078","authenticated-orcid":false,"given":"Clara","family":"Cordeiro","sequence":"additional","affiliation":[{"name":"Faculdade Ci\u00eancias e Tecnologia, Universidade do Algarve, 8005-139 Faro, Portugal"},{"name":"CEAUL\u2014Centro de Estat\u00edstica e Aplica\u00e7\u00f5es, Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisboa, Portugal"}]},{"given":"Tim","family":"McCarthy","sequence":"additional","affiliation":[{"name":"National Centre for Geocomputation, Maynooth University, Maynooth, Co. Kildare, Ireland"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,6]]},"reference":[{"key":"ref_1","unstructured":"FAO (2016). The State of World Fisheries and Aquaculture 2016. Contributing to Food Security and Nutrition for All, Food and Agriculture Organization of the United Nations."},{"key":"ref_2","unstructured":"ICES (2020). 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