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dc.contributor.authorAlexandridis, T. K.
dc.contributor.authorOvakoglou, G.
dc.contributor.authorCherif, I.
dc.contributor.authorGómez Giménez, M.
dc.contributor.authorLaneve, G.
dc.contributor.authorKasampalis, D.
dc.contributor.authorMoshou, D.
dc.contributor.authorKartsios, Stergios
dc.contributor.authorKarypidou, M. C.
dc.contributor.authorKatragkou, Eleni
dc.contributor.authorHerrera García, Sixto 
dc.contributor.authorKganyago, M.
dc.contributor.authorMashiyi, N.
dc.contributor.authorPattnayak, K.
dc.contributor.authorChallinor, A.
dc.contributor.authorPritchard, R.
dc.contributor.authorBrockington, D.
dc.contributor.authorKagoyire, C.
dc.contributor.authorSuarez Beltran, J.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-03-06T14:43:54Z
dc.date.available2023-03-06T14:43:54Z
dc.date.issued2020-09
dc.identifier.issn1361-1682
dc.identifier.issn1467-9671
dc.identifier.urihttps://hdl.handle.net/10902/28020
dc.description.abstractABSTRACT: Earth observation (EO) data are increasingly being used to monitor vegetation and detect plant growth anomalies due to water stress, drought, or pests, as well as to monitor water availability, weather conditions, disaster risks, land use/land cover changes and to evaluate soil degradation. Satellite data are provided regularly by worldwide organizations, covering a wide variety of spatial, temporal and spectral characteristics. In addition, weather, climate and crop growth models provide early estimates of the expected weather and climatic patterns and yield, which can be improved by fusion with EO data. The AfriCultuReS project is capitalizing on the above to contribute towards an integrated agricultural monitoring and early warning system for Africa, supporting decision making in the field of food security. The aim of this article is to present the design of EO services within the project, and how they will support food security in Africa. The services designed cover the users' requirements related to climate, drought, land, livestock, crops, water, and weather. For each category of services, results from one case study are presented. The services will be distributed to the stakeholders and are expected to provide a continuous monitoring framework for early and accurate assessment of factors affecting food security in Africa.es_ES
dc.description.sponsorshipThis paper is part of the AfriCultuReS project "Enhancing Food Security in African Agricultural Systems with the Support of Remote Sensing", which received funding from the European Union's Horizon 2020 Research and Innovation Framework Programme under grant agreement No. 774652es_ES
dc.format.extent43 p.es_ES
dc.language.isoenges_ES
dc.publisherWiley-Blackwelles_ES
dc.rights© John Wiley & Sonses_ES
dc.sourceTransactions in GIS 2020 September pp 1-29.es_ES
dc.subject.otherEarth observationes_ES
dc.subject.otherAgricultural monitoring systemes_ES
dc.subject.otherEarly warning systemes_ES
dc.titleDesigning AfriCultuReS services to support food security in Africaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12684es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/774652/EU/Enhancing Food Security in AFRIcan AgriCULTUral Systems with the Support of REmote Sensing/AFRICULTURES/es_ES
dc.identifier.DOI10.1111/tgis.12684
dc.type.versionacceptedVersiones_ES


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