Comparison of methods for field scale mapping of plant water status using aerial thermal imagery

O. Rosenberg, Y. Cohen, Y. Saranga, A. Levi, V. Alchanatis

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

5 Scopus citations

Abstract

In previous studies, a model for assessing leaf water potential (LWP) in cotton plants based on Crop Water Stress Index (CWSI) calculated using ground thermal imagery and artificial wet reference (AWR), as the minimum temperature, was developed and validated. The AWR cannot be measured from aerial thermal images and in order to implement this approach, it is essential to characterize the minimum boundary reference temperature and to evaluate the validity of the CWSI-LWP relationship. Four types of minimum references were examined: artificial, theoretical, plant and virtual. Three aerial thermal images were acquired above a cotton field. The best relationship was found between calculated and measured LWP using the virtual reference: high correlation and 1:1 fit. This means that a reliable LWP map of a cotton field can be created using only an aerial thermal image and air temperature. Using the LWP-CWSI relationship, the LWP can be mapped for each pixel or for each area of interest such as an irrigation section or pre-defined management zone.

Original languageEnglish
Title of host publicationPrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013
Pages185-192
Number of pages8
StatePublished - 2013
Event9th European Conference on Precision Agriculture, ECPA 2013 - Lleida, Catalonia, Spain
Duration: 7 Jul 201311 Jul 2013

Publication series

NamePrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013

Conference

Conference9th European Conference on Precision Agriculture, ECPA 2013
Country/TerritorySpain
CityLleida, Catalonia
Period7/07/1311/07/13

Keywords

  • CWSI
  • Cotton
  • Irrigation management
  • Leaf water potential
  • Thermal images

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