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Monitoring the effects ofwater stress in cotton using the green red vegetation index and red edge ratio

Ballester Lurbe, Carlos, Brinkhoff, James, Quayle, Wendy C. and Hornbuckle, John 2019, Monitoring the effects ofwater stress in cotton using the green red vegetation index and red edge ratio, Remote sensing, vol. 11, no. 7, pp. 1-21, doi: 10.3390/RS11070873.

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Title Monitoring the effects ofwater stress in cotton using the green red vegetation index and red edge ratio
Author(s) Ballester Lurbe, CarlosORCID iD for Ballester Lurbe, Carlos orcid.org/0000-0002-6885-0883
Brinkhoff, JamesORCID iD for Brinkhoff, James orcid.org/0000-0002-0721-2458
Quayle, Wendy C.ORCID iD for Quayle, Wendy C. orcid.org/0000-0003-0622-1915
Hornbuckle, JohnORCID iD for Hornbuckle, John orcid.org/0000-0003-0714-6646
Journal name Remote sensing
Volume number 11
Issue number 7
Start page 1
End page 21
Total pages 21
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2019
ISSN 2072-4292
Keyword(s) Science & Technology
Technology
Remote Sensing
optical remote sensing
unmanned aerial vehicle
soil matric potential
stomatal conductance
vegetation indices
irrigation
SPECTRAL REFLECTANCE
FIBER-QUALITY
CANOPY TEMPERATURE
LINT YIELD
PLANT
CHLOROPHYLL
IMAGERY
GROWTH
FLUORESCENCE
VARIABILITY
Summary The main objective of this work was to study the feasibility of using the green red vegetation index (GRVI) and the red edge ratio (RE/R) obtained from UAS imagery for monitoring the effects of soil water deficit and for predicting fibre quality in a surface-irrigated cotton crop. The performance of these indices to track the effects of water stress on cotton was compared to that of the normalised difference vegetation index (NDVI) and crop water stress index (CWSI). The study was conducted during two consecutive seasons on a commercial farm where three irrigation frequencies and two nitrogen rates were being tested. High-resolution multispectral images of the site were acquired on four dates in 2017 and six dates in 2018, encompassing a range of matric potential values. Leaf stomatal conductance was also measured at the image acquisition times. At harvest, lint yield and fibre quality (micronaire) were determined for each treatment. Results showed that within each year, the N rates tested (> 180 kg N ha-1) did not have a statistically significant effect on the spectral indices. Larger intervals between irrigations in the less frequently irrigated treatments led to an increase (p < 0.05) in the CWSI and a reduction (p < 0.05) in the GRVI, RE/R, and to a lesser extent in the NDVI. A statistically significant and good correlation was observed between the GRVI and RE/R with soil matric potential and stomatal conductance at specific dates. The GRVI and RE/R were in accordance with the soil and plant water status when plants experienced a mild level of water stress. In most of the cases, the GRVI and RE/R displayed long-term effects of the water stress on plants, thus hampering their use for determinations of the actual soil and plant water status. The NDVI was a better predictor of lint yield than the GRVI and RE/R. However, both GRVI and RE/R correlated well (p < 0.01) with micronaire in both years of study and were better predictors of micronaire than the NDVI. This research presents the GRVI and RE/R as good predictors of fibre quality with potential to be used from satellite platforms. This would provide cotton producers the possibility of designing specific harvesting plans in the case that large fibre quality variability was expected to avoid discount prices. Further research is needed to evaluate the capability of these indices obtained from satellite platforms and to study whether these results obtained for cotton can be extrapolated to other crops.
Language eng
DOI 10.3390/RS11070873
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121185

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.