Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications

Author

Segarra, Joel

Buchaillot, Ma. Luisa

Araus Ortega, José Luis

Kefauver, Shawn C.

Publication date

2020-11-09T11:48:29Z

2020-11-09T11:48:29Z

2020-05-01



Abstract

The 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.


This research was funded by the Spanish projects AGL2016-76527-R and IRUEC PCIN-2017-063 from the Ministerio de Economía y Competividad (MINECO, Spain) and by the support of Catalan Institution for Research and Advanced Studies (ICREA, Generalitat de Catalunya, Spain), through the ICREA Academia Program.

Document Type

Article
Published version

Language

English

Subjects and keywords

Sentinel-2; Remote sensing; Precision agriculture; Crop monitoring

Publisher

MDPI

Related items

info:eu-repo/grantAgreement/MINECO//AGL2016-76527-R/ES/

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PCIN-2017-063/ES/ESTUDIO MULTIDISCIPLINAR DIRIGIDO A LA MEJORA EN LA EFICIENCIA EN EL USO DE LOS RECURSOS EN CEREALES EN UN CONTEXTO DE CAMBIO CLIMATICO/

Reproducció del document publicat a: https://doi.org/10.3390/agronomy10050641

Agronomy, 2020, vol. 10, núm. 5, p. 641

Rights

cc-by (c) Segarra, Joel et al., 2020

http://creativecommons.org/licenses/by/4.0/

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