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

doi:10.1088/1755-1315/509/1/012004

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 proceeding › Conference contribution › Academic › peer-review

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Abstract

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 language	English
Title of host publication	11th International Symposium on Digital Earth (ISDE 11)
Subtitle of host publication	24-27 September 2019, Florence, Italy
Editors	S. Nativi, C. Wang, G. Landgraf, M.A. Liberti, P. Mazzetti, Z.S. Mohamed-Ghouse
Publisher	IOP
Pages	1-3
Number of pages	3
DOIs	https://doi.org/10.1088/1755-1315/509/1/012004
Publication status	Published - 9 Jul 2019
Externally published	Yes
Event	11th International Symposium on Digital Earth 2019: Digital earth in a transformed society - Congress Center Villa Vittoria, Florence, Italy Duration: 24 Sep 2019 → 27 Sep 2019 Conference number: 11 https://digitalearth2019.eu/home/

Publication series

Name	IOP Conference Series: Earth and Environmental Science
Publisher	IOP Publishing
Volume	509

Conference

Conference	11th International Symposium on Digital Earth 2019
Abbreviated title	ISDE 11
Country/Territory	Italy
City	Florence
Period	24/09/19 → 27/09/19
Internet address	https://digitalearth2019.eu/home/

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10.1088/1755-1315/509/1/012004Licence: CC BY

Bovolo2020bigFinal published version, 529 KBLicence: CC BY

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Bovolo, F., Bruzzone, L., Fernández-Prieto, D., Paris, C., Solano-Correa, Y. T., Volden, E., & Zanetti, M. (2019). Big Data from Space for Precision Agriculture Applications. In S. Nativi, C. Wang, G. Landgraf, M. A. Liberti, P. Mazzetti, & Z. S. Mohamed-Ghouse (Eds.), 11th International Symposium on Digital Earth (ISDE 11): 24-27 September 2019, Florence, Italy (pp. 1-3). [012004] (IOP Conference Series: Earth and Environmental Science; Vol. 509). IOP. https://doi.org/10.1088/1755-1315/509/1/012004

Bovolo, F. ; Bruzzone, L. ; Fernández-Prieto, D. et al. / Big Data from Space for Precision Agriculture Applications. 11th International Symposium on Digital Earth (ISDE 11): 24-27 September 2019, Florence, Italy. editor / S. Nativi ; C. Wang ; G. Landgraf ; M.A. Liberti ; P. Mazzetti ; Z.S. Mohamed-Ghouse. IOP, 2019. pp. 1-3 (IOP Conference Series: Earth and Environmental Science).

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title = "Big Data from Space for Precision Agriculture Applications",

abstract = "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.",

author = "F. Bovolo and L. Bruzzone and D. Fern{\'a}ndez-Prieto and C. Paris and Y.T. Solano-Correa and E. Volden and M. Zanetti",

year = "2019",

month = jul,

day = "9",

doi = "10.1088/1755-1315/509/1/012004",

language = "English",

series = "IOP Conference Series: Earth and Environmental Science",

publisher = "IOP",

pages = "1--3",

editor = "S. Nativi and C. Wang and G. Landgraf and M.A. Liberti and P. Mazzetti and Z.S. Mohamed-Ghouse",

booktitle = "11th International Symposium on Digital Earth (ISDE 11)",

note = "11th International Symposium on Digital Earth 2019 : Digital earth in a transformed society, ISDE 11 ; Conference date: 24-09-2019 Through 27-09-2019",

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Bovolo, F, Bruzzone, L, Fernández-Prieto, D, Paris, C, Solano-Correa, YT, Volden, E & Zanetti, M 2019, Big Data from Space for Precision Agriculture Applications. in S Nativi, C Wang, G Landgraf, MA Liberti, P Mazzetti & ZS Mohamed-Ghouse (eds), 11th International Symposium on Digital Earth (ISDE 11): 24-27 September 2019, Florence, Italy., 012004, IOP Conference Series: Earth and Environmental Science, vol. 509, IOP, pp. 1-3, 11th International Symposium on Digital Earth 2019, Florence, Italy, 24/09/19. https://doi.org/10.1088/1755-1315/509/1/012004

Big Data from Space for Precision Agriculture Applications. / Bovolo, F.; Bruzzone, L.; Fernández-Prieto, D. et al.

11th International Symposium on Digital Earth (ISDE 11): 24-27 September 2019, Florence, Italy. ed. / S. Nativi; C. Wang; G. Landgraf; M.A. Liberti; P. Mazzetti; Z.S. Mohamed-Ghouse. IOP, 2019. p. 1-3 012004 (IOP Conference Series: Earth and Environmental Science; Vol. 509).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Big Data from Space for Precision Agriculture Applications

AU - Bovolo, F.

AU - Bruzzone, L.

AU - Fernández-Prieto, D.

AU - Paris, C.

AU - Solano-Correa, Y.T.

AU - Volden, E.

AU - Zanetti, M.

N1 - Conference code: 11

PY - 2019/7/9

Y1 - 2019/7/9

N2 - 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.

AB - 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.

UR - https://iris.unitn.it/handle/11572/254862

U2 - 10.1088/1755-1315/509/1/012004

DO - 10.1088/1755-1315/509/1/012004

M3 - Conference contribution

T3 - IOP Conference Series: Earth and Environmental Science

SP - 1

EP - 3

BT - 11th International Symposium on Digital Earth (ISDE 11)

A2 - Nativi, S.

A2 - Wang, C.

A2 - Landgraf, G.

A2 - Liberti, M.A.

A2 - Mazzetti, P.

A2 - Mohamed-Ghouse, Z.S.

PB - IOP

T2 - 11th International Symposium on Digital Earth 2019

Y2 - 24 September 2019 through 27 September 2019

ER -

Bovolo F, Bruzzone L, Fernández-Prieto D, Paris C, Solano-Correa YT, Volden E et al. Big Data from Space for Precision Agriculture Applications. In Nativi S, Wang C, Landgraf G, Liberti MA, Mazzetti P, Mohamed-Ghouse ZS, editors, 11th International Symposium on Digital Earth (ISDE 11): 24-27 September 2019, Florence, Italy. IOP. 2019. p. 1-3. 012004. (IOP Conference Series: Earth and Environmental Science). doi: 10.1088/1755-1315/509/1/012004

Big Data from Space for Precision Agriculture Applications

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