Determining the water status of Satsuma mandarin trees [Citrus Unshiu Marcovitch] using spectral indices and by combining hyperspectral and physiological data

Dzikiti, Sebinasi; Verreynne, J.S.; Stuckens, Jan; Strever, A.E.; Verstraeten, Willem; Swennen, Rony; Coppin, Pol

doi:10.1016/j.agrformet.2009.12.005

Cited by 58 publications

(34 citation statements)

References 38 publications

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“…Leaf water content is normally measured on tissue samples [8], which are subject to some variability, while Ψ leaf provide an integrated measurement of environmental conditions on water availability within the leaf. Moreover, while large changes in leaf water content only occur at advanced stages of dehydration, Ψ leaf measurements were able to detect the onset of water deficiency, allowing a reaction before permanent damage occurs [7]. Several studies have linked Ψ leaf in fruit orchards with vegetation indices [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…In fruit trees, however, leaf water potential (Ψ leaf ) has been found a more robust indicator of plant water status compared to plant water content [6,7]. Leaf water content is normally measured on tissue samples [8], which are subject to some variability, while Ψ leaf provide an integrated measurement of environmental conditions on water availability within the leaf.…”

Section: Introductionmentioning

confidence: 99%

“…The Ψ stem is the water status of non-transpiring leaves, which is related to the water availability and transpiration. As opposed to plant water status and Ψ leaf , the potential of remote monitoring of Ψ stem is not yet fully explored nor widely adopted (but see examples for olives [13] and citrus [7,14]). …”

Section: Introductionmentioning

confidence: 99%

“…The down-side of Ψ leaf is the high variability within one tree. Therefore, most researchers prefer stem water potential (Ψ stem ) as an indicator of plant water status in fruit orchards [7,11,12]. The Ψ stem is the water status of non-transpiring leaves, which is related to the water availability and transpiration.…”

Section: Introductionmentioning

confidence: 99%

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Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery

et al. 2013

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Abstract:Remote sensing can provide good alternatives for traditional in situ water status measurements in orchard crops, such as stem water potential (Ψ stem ). However, the heterogeneity of these cropping systems causes significant differences with regards to remote sensing products within one orchard and between orchards. In this study, robust spectral indicators of Ψ stem were sought after, independent of sensor viewing geometry, orchard architecture and management. To this end, Ψ stem was monitored throughout three consecutive growing seasons in (deficit) irrigated and rainfed pear orchards and related to spectral observations of leaves, canopies and WorldView-2 imagery. On a leaf and canopy level, high correlations were observed between the shortwave infrared reflectance and in situ measured Ψ stem . Additionally, for canopy measurements, visible and near-infrared wavelengths (R 530 /R 600 , R 530 /R 700 and R 720 /R 800 ) showed significant correlations. Therefore, the Red-edge Normalized Difference Vegetation Index (ReNDVI) was applied on fully sunlit satellite imagery and found strongly related with Ψ stem (R 2 = 0.47; RMSE = 0.36 MPa),undoubtedly showing the potential of WorldView-2 to monitor water stress in pear orchards. The relationship between ReNDVI and Ψ stem was independent of management, irrigation setup, phenology and environmental conditions. In addition, results showed that this relation was also independent of off-nadir viewing angle and almost independent of viewing geometry, as the correlation decreased after the inclusion of fully shaded scenes. OPEN ACCESSRemote Sens. 2013, 5 6648With further research focusing on issues related to viewing geometry and shadows, high spatial water status monitoring with space borne remote sensing is achievable.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery

et al. 2013

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“…At the leaf scale, it was found that hyperspectral reflectance and chlorophyll fluorescence can be served as valuable tools for non-invasive measurements of photosynthetic parameters under salinity stress (Li et al, 2010). For determination of plant water status in the absence of robust spectral indices the combining in situ data of physiological models (midday leaf water potential, predawn leaf water potential, the leaf water content) and hyperspectral remote sensing can provide helpful information, useful also for irrigation management in plants (Dzikiti et al, 2010).…”

Section: Integration Of Hyperspectral Analyses Into Salt-stress Relatmentioning

confidence: 99%

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Sytar

Brestič

Živčák

et al. 2017

Science of The Total Environment

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• Salinity represents an abiotic stress constraint affecting growth and productivity of plants • Better solutions is to improve the level of salt resistance using natural genetic variability within crop species • Phenomic methodology employing different non-invasive imaging systems for detecting quantitative and qualitative changes caused by salt stress at the whole plant and canopy level. Hyperspectral imaging techniques provide unique opportunities for fast and reliable evaluation of numerous characteristics associated both with various structural, biochemical and physiological traits • Salt-soil-plant interaction and sustainable coastal agriculture need powerful phenotyping tools Salinity represents an abiotic stress constraint affecting growth and productivity of plants in many regions of the world. One of the possible solutions is to improve the level of salt resistance using natural genetic variability within crop species. In the context of recent knowledge on salt stress effects and mechanisms of salt tolerance, this review present useful phenomic approach employing different non-invasive imaging systems for detection of quantitative and qualitative changes caused by salt stress at the plant and canopy level. The focus is put on hyperspectral imaging technique, which provides unique opportunities for fast and reliable estimate of numerous characteristics associated both with various structural, biochemical Science of the Total Environment 578 (2017) 90-99 ⁎ Corresponding authors at:

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Near‐infrared hyperspectral imaging for detection and quantification of azodicarbonamide in flour

et al. 2017

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Determining the water status of Satsuma mandarin trees [Citrus Unshiu Marcovitch] using spectral indices and by combining hyperspectral and physiological data

Cited by 58 publications

References 38 publications

Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery

Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Near‐infrared hyperspectral imaging for detection and quantification of azodicarbonamide in flour

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