Big Data from Space for Precision Agriculture Applications

F. Bovolo*, L. Bruzzone, D. Fernández-Prieto, C. Paris, Y.T. Solano-Correa, E. Volden, M. Zanetti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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This paper presents an approach for precision agriculture large scale applications based on the analysis of big data consisting in Satellite Image Time Series (SITS) acquired by ESA Sentinel-2 (S2) satellite constellation. The approach has been developed in the framework of the ESA SEOM - Scientific Exploitation of Operational Missions - S2-4Sci Land and Water project [1]. To focus only on agricultural areas, images are first filtered based on a land cover (LC) map that is generated by updating available old maps by means of recent images. Then S2 SITS are used to analyse agricultural areas. Two macro challenges are therefore considered: (i) automatic update of LC maps and generation of agricultural areas mask; and (ii) unsupervised multi-temporal (MT) fine characterization of land plots.
Original languageEnglish
Title of host publication11th International Symposium on Digital Earth (ISDE 11)
Subtitle of host publication24-27 September 2019, Florence, Italy
EditorsS. Nativi, C. Wang, G. Landgraf, M.A. Liberti, P. Mazzetti, Z.S. Mohamed-Ghouse
Number of pages3
Publication statusPublished - 9 Jul 2019
Externally publishedYes
Event11th International Symposium on Digital Earth 2019: Digital earth in a transformed society - Congress Center Villa Vittoria, Florence, Italy
Duration: 24 Sep 201927 Sep 2019
Conference number: 11

Publication series

NameIOP Conference Series: Earth and Environmental Science
PublisherIOP Publishing


Conference11th International Symposium on Digital Earth 2019
Abbreviated titleISDE 11
Internet address


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