Can time series of multispectral satellite images be used to estimate stem water potential in vineyards?

Y. Cohen; P. Gogumalla; I. Bahat; Y. Netzer; A. Ben-Gal; I. Lenski; Y. Michael; D. Helman

doi:10.3920/978-90-8686-888-9_55

Can time series of multispectral satellite images be used to estimate stem water potential in vineyards?

Y. Cohen, P. Gogumalla, I. Bahat, Y. Netzer, A. Ben-Gal, I. Lenski, Y. Michael, D. Helman

Department of Environment, Planning and Sustainability

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

10 Scopus citations

Abstract

Vegetation indices (VI) derived from a new generation of high-spatial resolution satellites, namely Planet and Sentinel-2, were tested as proxies for stem water potential (Ψ-stem) in commercial vineyards. Multivariable linear regression models were developed from the Planet and Sentinel-2 data and in-situ Ψ-stem measurements in 82 vineyards in Israel, providing Ψ-stem estimates every 1-2 weeks. With multivariable regression VIs in the VIS-NIR region (Planet) and moisture VIs in the NIR-SWIR region (Sentinel-2) were correlated with in-situ Ψ-stem measurements. In general, Sentinel-based models performed better (higher correlations and higher ability to capture temporal and spatial variability) than Planet-based models. The trade-off between spectral, spatial and temporal resolutions of these two satellites are further discussed.

Original language	English
Title of host publication	Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
Editors	John V. Stafford
Publisher	Wageningen Academic Publishers
Pages	445-451
Number of pages	7
ISBN (Electronic)	9789086863372
DOIs	https://doi.org/10.3920/978-90-8686-888-9_55
State	Published - 2019
Event	12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France Duration: 8 Jul 2019 → 11 Jul 2019

Publication series

Name	Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference	12th European Conference on Precision Agriculture, ECPA 2019
Country/Territory	France
City	Montpellier
Period	8/07/19 → 11/07/19

Bibliographical note

Publisher Copyright:
© Wageningen Academic Publishers 2019

Funding

This research was supported by the Fund of the Chief Scientist of the Ministry of Agriculture in Israel (Grant No. 20-12-0030). We thank the Israeli wineries Barken, Golan Heights and Carmel for sharing their data with us.

Funders	Funder number
Israeli wineries Barken
Ministry of Agriculture in Israel	20-12-0030

Keywords

Google earth engine
Planet-labs
Sentinel-2
Stem water potential

Access to Document

10.3920/978-90-8686-888-9_55

Cite this

Cohen, Y., Gogumalla, P., Bahat, I., Netzer, Y., Ben-Gal, A., Lenski, I., Michael, Y., & Helman, D. (2019). Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? In J. V. Stafford (Ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (pp. 445-451). (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-888-9_55

Cohen, Y. ; Gogumalla, P. ; Bahat, I. et al. / Can time series of multispectral satellite images be used to estimate stem water potential in vineyards?. Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. editor / John V. Stafford. Wageningen Academic Publishers, 2019. pp. 445-451 (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

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title = "Can time series of multispectral satellite images be used to estimate stem water potential in vineyards?",

abstract = "Vegetation indices (VI) derived from a new generation of high-spatial resolution satellites, namely Planet and Sentinel-2, were tested as proxies for stem water potential (Ψ-stem) in commercial vineyards. Multivariable linear regression models were developed from the Planet and Sentinel-2 data and in-situ Ψ-stem measurements in 82 vineyards in Israel, providing Ψ-stem estimates every 1-2 weeks. With multivariable regression VIs in the VIS-NIR region (Planet) and moisture VIs in the NIR-SWIR region (Sentinel-2) were correlated with in-situ Ψ-stem measurements. In general, Sentinel-based models performed better (higher correlations and higher ability to capture temporal and spatial variability) than Planet-based models. The trade-off between spectral, spatial and temporal resolutions of these two satellites are further discussed.",

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author = "Y. Cohen and P. Gogumalla and I. Bahat and Y. Netzer and A. Ben-Gal and I. Lenski and Y. Michael and D. Helman",

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Cohen, Y, Gogumalla, P, Bahat, I, Netzer, Y, Ben-Gal, A, Lenski, I, Michael, Y & Helman, D 2019, Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? in JV Stafford (ed.), Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019, Wageningen Academic Publishers, pp. 445-451, 12th European Conference on Precision Agriculture, ECPA 2019, Montpellier, France, 8/07/19. https://doi.org/10.3920/978-90-8686-888-9_55

Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? / Cohen, Y.; Gogumalla, P.; Bahat, I. et al.
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. ed. / John V. Stafford. Wageningen Academic Publishers, 2019. p. 445-451 (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

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