Assessing infield temporal and spatial variability of leaf water potential using satellite imagery and meteorological data

O. Beeri*, R. Pelta, T. Shilo, J. Raz, S. Mey-Tal

*Corresponding author for this work

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

Abstract

The goal of this study was to examine whether the combination of meteorological data along with satellite imagery can be used to represent the spatial and temporal changes in cotton leaf water potential (LWP). Daily plant measurements showed a decrease in LWP after each irrigation event and then a gradual increase until the next irrigation event. However, in most events, the lowest LWP was on the day after irrigation and sometimes even two days after. These changes generally correlated to seasonal meteorological changes but were not sensitive to the daily LWP changes. In contrast, spectral indices based on satellite imagery were able to map infield LWP variability and after calibration enabled the estimation of LWP with an RMSE of 0.26 MPa and R2 of 0.72, regardless of sensor type.

Original languageEnglish
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages263-270
Number of pages8
ISBN (Electronic)9789086863372
DOIs
StatePublished - 2019
Externally publishedYes
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: 8 Jul 201911 Jul 2019

Publication series

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

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
Country/TerritoryFrance
CityMontpellier
Period8/07/1911/07/19

Keywords

  • Crop water stress
  • Landsat
  • Leaf water potential
  • Precision irrigation
  • Sentinel-2

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