Early Water Stress Detection Using Leaf-Level Measurements of Chlorophyll Fluorescence and Temperature Data

Ni, Zhuoya; Liu, Zhigang; Huo, Hongyuan; Li, Zhao-Liang; Nerry, Françoise; Wang, Qingshan; Li, Xiaowen

doi:10.3390/rs70303232

Cited by 53 publications

(37 citation statements)

References 43 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A few studies have investigated changes in SIF at small spatial scales in relation to active fluorescence measurements. However, they have either involved broad-band SIF measurements, with a full width half maximum (FWHM) >1 nm, that are not comparable to the narrow-band SIF (FWHM < 1 nm) retrieved with spectral infilling approaches (i.e., FluorPen) [37], or have compared small canopy scale measurements with PAM measurements on single leaves [8,21]. Our approach goes in the same direction as these experiments; however, we focus exclusively on the leaf-level in order to avoid spatial mismatches between SIF and active fluorescence measurements.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies suggested that SIF FR correlates with Chl content [38], NDVI [39], crop developmental stage [8], canopy and air temperatures [21], PAR [38] and F [7] over seasonal time scales. We found significant associations between changes in SIF FR , SIF red and YSIF FR with changes in leaf PAR, ETR and YNO.…”

Section: Seasonal Drivers Of Solar Induced Fluorescencementioning

confidence: 99%

“…By combining active fluorescence with sub-nanometre reflected radiance measurements, the relative APAR partitioning can be examined in relation to SIF, PRI and NDVI. Some studies have observed coincident changes in far-red SIF (SIF FR ) and φPSII measured by PAM fluorometers [21] and have examined diurnal and seasonal changes in SIF in crop plants [8]. However, these studies focused only on small-scale canopies in comparison with single leaf PAM measurements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure?

et al. 2017

View full text Add to dashboard Cite

Solar induced chlorophyll fluorescence (SIF) emissions of photosynthetically active plants retrieved from space-borne observations have been used to improve models of global primary productivity. However, the relationship between SIF and photosynthesis in diurnal and seasonal cycles is still not fully understood, especially at large spatial scales, where direct measurements of photosynthesis are unfeasible. Motivated by up-scaling potential, this study examined the diurnal and seasonal relationship between SIF and photosynthetic parameters measured at the level of individual leaves. We monitored SIF in two plant species, avocado (Persea Americana) and orange jasmine (Murraya paniculatta), throughout 18 diurnal cycles during the Southern Hemisphere spring, summer and autumn, and compared them with simultaneous measurements of photosynthetic yields, and leaf and global irradiances. Results showed that at seasonal time scales SIF is principally correlated with changes in leaf irradiance, electron transport rates (ETR) and constitutive heat dissipation (YNO; p < 0.001). Multiple regression models of correlations between photosynthetic parameters and SIF at diurnal time scales identified leaf irradiance as the principle predictor of SIF (p < 0.001). Previous studies have identified correlations between photosynthetic yields, ETR and SIF at larger spatial scales, where heterogeneous canopy architecture and landscape spatial patterns influence the spectral and photosynthetic measurements. Although this study found a significant correlation between leaf-measured YNO and SIF, future dedicated up-scaling experiments are required to elucidate if these observations are also found at larger spatial scales.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Seasonal Drivers Of Solar Induced Fluorescencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure?

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Furthermore, changes in fluorescence readings often precede the manifestation of any visible symptoms (Lichtenthaler and Miehé, 1997), making it useful for the early detection of abiotic and biotic stress (Massacci et al, 2008;Jedmowski and Brüggemann, 2015;Ni et al, 2015). The use of solar-induced chlorophyll fluorescence, based on the Fraunhofer line discrimination principle (Plascyk, 1975;Meroni et al, 2009), was recently implemented successfully using UAS-based hyperspectral imagery for the early detection of Verticillium wilt in a production olive (Olea europaea) orchard (Calderón et al, 2013).…”

Section: Plant Canopy Phenotypingmentioning

confidence: 99%

The quest for understanding phenotypic variation via integrated approaches in the field environment

et al. 2016

View full text Add to dashboard Cite

“…Numerous studies have shown that making measurements of SIF is a reliable way of obtaining physiological information about plants quickly and in a non-invasive way. For instance, Meroni et al [7] and Ni et al [8] showed that stress in an early phase can be detected by SIF measurements; the studies of Delalieux et al [9] indicated that SIF measurements could be used in the early detection of vegetation disease; and a strong relationship between SIF and Gross Primary Production (GPP) has been demonstrated in several studies at both canopy and global scales [10][11][12][13][14]. Therefore, it is important to measure the SIF signal in a fast and accurate way.…”

Section: Introductionmentioning

confidence: 99%

New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis

Liu

Zhang

et al. 2015

Remote Sensing

View full text Add to dashboard Cite

Abstract:The full-spectrum Solar-Induced chlorophyll Fluorescence (SIF) within the 650800 nm spectral region can provide important information regarding physiological and biochemical activities in vegetation. This paper proposes a new Full-spectrum Spectral Fitting Method (F-SFM) for the retrieval of SIF spectra based on Principal Components Analysis (PCA). Using F-SFM, both the full-spectrum reflectance and SIF within the 650800 nm region were modeled by PCA based on a training dataset simulated by the Soil Canopy Observation, Photochemistry and Energy fluxes (SCOPE) model, and the weighting coefficients of the principal components were estimated by the least-squares fitting method. An iterative process was employed to improve the accuracy of the estimation of the reflectance. In each iteration, the SIF spectra retrieved from the last run were removed from the total upwelling radiance to minimize the small contribution of the SIF to the apparent reflectance outside the absorption bands. Then, the F-SFM algorithm was tested using both simulated and field-measured data with different Spectral Resolutions (SRs) and Signal-to-Noise Ratios (SNRs). For data with an SR of 0.3 nm and without noise, the Relative Root Mean Square Error (RRMSE) was less than 14% within the spectral region that was studied, and the peak-value ratio (SIF735/SIF685) was accurately estimated with an RRMSE of 3.56%. In addition, the F-SFM algorithm proved less sensitive to the SR than the three-band Fraunhofer Line Discrimination (3 FLD) and improved FLD (iFLD) methods. In OPEN ACCESSRemote Sens. 2015, 7 10627 the case of the field spectral data with SRs of 3 nm and 0.3 nm, the double-peak shape and the diurnal variation trend of the SIF spectra could be reasonably reconstructed by F-SFM, and the retrieved SIF values at the O2-A and O2-B bands were consistent with those retrieved by 3FLD from data with a high SR (0.3 nm) and SNR (1000). Therefore, the F-SFM method can provide full-spectrum SIF information with high accuracy even at relatively low SRs and SNRs, and shows promise for use in applications involving the SIF shape information.

show abstract

Early Water Stress Detection Using Leaf-Level Measurements of Chlorophyll Fluorescence and Temperature Data

Cited by 53 publications

References 43 publications

Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure?

Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure?

The quest for understanding phenotypic variation via integrated approaches in the field environment

New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis

Contact Info

Product

Resources

About