Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/184174
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dc.contributor.authorSegarra, Joel-
dc.contributor.authorBuchaillot, Maria Luisa-
dc.contributor.authorAraus Ortega, José Luis-
dc.contributor.authorKefauver, Shawn Carlisle-
dc.date.accessioned2022-03-16T15:49:08Z-
dc.date.available2022-03-16T15:49:08Z-
dc.date.issued2020-05-01-
dc.identifier.issn2073-4395-
dc.identifier.urihttp://hdl.handle.net/2445/184174-
dc.description.abstractThe use of satellites to monitor crops and support their management is gathering increasing attention. The improved temporal, spatial, and spectral resolution of the European Space Agency (ESA) launched Sentinel-2 A + B twin platform is paving the way to their popularization in precision agriculture. Besides the Sentinel-2 A + B constellation technical features the open-access nature of the information they generate, and the available support software are a significant improvement for agricultural monitoring. This paper was motivated by the challenges faced by researchers and agrarian institutions entering this field; it aims to frame remote sensing principles and Sentinel-2 applications in agriculture. Thus, we reviewed the features and uses of Sentinel-2 in precision agriculture, including abiotic and biotic stress detection, and agricultural management. We also compared the panoply of satellites currently in use for land remote sensing that are relevant for agriculture to the Sentinel-2 A + B constellation features. Contrasted with previous satellite image systems, the Sentinel-2 A + B twin platform has dramatically increased the capabilities for agricultural monitoring and crop management worldwide. Regarding crop stress monitoring, Sentinel-2 capacities for abiotic and biotic stresses detection represent a great step forward in many ways though not without its limitations; therefore, combinations of field data and different remote sensing techniques may still be needed. We conclude that Sentinel-2 has a wide range of useful applications in agriculture, yet still with room for further improvements. Current and future ways that Sentinel-2 can be utilized are also discussed-
dc.format.extent18 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPI-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/agronomy10050641-
dc.relation.ispartofAgronomy, 2020, vol. 10, num. 5, p. 1-18-
dc.relation.urihttps://doi.org/10.3390/agronomy10050641-
dc.rightscc-by (c) Segarra, Joel et al., 2020-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.sourceArticles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)-
dc.subject.classificationTeledetecció-
dc.subject.classificationAgricultura de precisió-
dc.subject.otherRemote sensing-
dc.subject.otherPrecision agriculture-
dc.titleRemote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec703102-
dc.date.updated2022-03-16T15:49:08Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)

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