A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress

Li, Xuqing; Liu, Xiangnan; Liu, Meiling; Wang, Cuicui; Xia, Xiaopeng

doi:10.1016/j.jag.2014.10.017

Cited by 51 publications

(35 citation statements)

References 51 publications

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“…However, the vegetation spectral properties are a function that depends on the many geographical variations and applying the results of the laboratory to the natural environment still needs to be explored [17][18][19]. Field studies that examine the plant response to metal-contaminated soil have mostly focused on old waste deposit sites [1][2][3], river floodplains [19,20], polluted farms [21,22], etc. In these studies, the dominant species of plant in specific growth stages were selected as the study object, and then the VIs were used to explore relationships between the metal content and spectral response.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China

et al. 2018

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This study examined the relationship between the leaf reflectance of different seasons and the concentration of heavy metal elements in leaves, such as Co, Cu, Mo, and Ni in a post-mining area. The reflectance spectra and leaf samples of three typical plants were measured and collected in a whole growth cycle (June, July, August, and September). The Red Edge Position (REP), Readjustment Normalized Difference Vegetation Index (RE-NDVI), and Photochemical Reflectance Index (PRI) were extracted and used to explore its relation with the heavy metals concentrations in leaves between different seasons. The results show that all three Vegetation Indices (VIs) were insensitive indicators for monitoring the metal effects of vegetation in different seasons, which showed similar trends. Based on this, the Continuum Removal Indices (CRIs) were proposed from the continuum removed approach and extended for detecting the effects of heavy metal pollution over a full growth cycle. The relationship between the metal concentrations and CRIs of different plants was respectively analyzed by Stepwise Multiple Linear Regression (SMLR) and Partial Least Squares Regression (PLSR). It is found that a significant correlation exists between the band depth and the concentration of Cu and Ni based on the White birch data sets using the PLSR, resulting in a small deviation from the established relationships. Compared with VIs, the approach of coupling CRIs and multiple regressions was effective for improving the estimation accuracy. The presented study provides a detection model of leaf heavy metals that can be adapted to different growing cycles, even an arbitrary growing cycle.

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Section: Introductionmentioning

confidence: 99%

Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China

et al. 2018

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“…A decrease in the values of chlorophyll indices and blue shift of REIPs with S1-As2, S1-Mix and S3soil could be due to indirect effects of metal-accumulation in plant parts, specifically into roots (Figure 7.2) on photosynthetic activities and chlorophyll synthesis, which altogether lead to changed plant spectral reflectance. Present results are in agreement with several studies that have demonstrated the blueshift of REIPs and effectiveness of different chlorophyll indices for the delineation of metal-induced stress related variations (Li et al 2015;Milton et al 1989;Slonecker et al 2009;Sridhar et al 2007a;Sridhar et al 2014).…”

Section: Vegetation Indices and Continuum Removed Spectrasupporting

confidence: 93%

Phytoremediation of metal-contaminated soils and their monitoring with proximal spectral sensing

Rathod¹

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The potential suitability of Eucalyptus camaldulensis for Cd phytoextraction was tested in a hydroponic study. Saplings were exposed to 4.5 and 89 μM Cd for one month, with and without EDTA and S,S-EDDS at 0.1, 1, and 5 mM. The saplings' growth was not affected at the 4.5 μM Cd concentration, yet it decreased 3-fold at 89 μM, and almost all the Cd taken up was immobilized in the roots, reaching 360 and 5300 mg Cd kg −1 , respectively (approximately 75% of which was non-washable in acid). The respective Cd root-to-shoot translocation factors were 0.14 and ≈5×10 −4. At 0.1 mM concentration, EDTA and EDDS had no effect or even a positive effect on the saplings growth. This was reversed at 1 mM, and the chelants became lethal at the 5 mM concentration. At 89 μM Cd in the growth medium, 0.1 mM EDTA increased Cd translocation into the shoots by almost 10-fold, however it strongly reduced Cd content inside the roots. This hydroponic study indicates the feasibility of E. camaldulensis use for cleanup Cd-contaminated soils at environmental concentrations, both for site stabilization (phytostabilization) and gradual remediation (phytoextraction). EDTA was shown to be much more efficient in enhancing Cd translocation than S,S-EDDS.

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“…In other words, the PROSPECT-5 considers the absorption of four biochemical components: chlorophyll; carotenoid; water, and; dry matter. However, several studies have indicated that heavy metal stress would damage the leaf structure, leading to a disorderly cell arrangement (e.g., [23,29]). Moreover, the copper content in copper-stressed leaf could be approximately 100 times more than that in normal leaf, so the absorption related to copper should not be ignored in the new model.…”

Section: Methodsmentioning

confidence: 99%

“…In fact, only the content of copper (Ccu) was added to the modified model when it is compared with PROSPECT-5 ( Table 1). As previously mentioned, excessive copper in a plant would damage the leaf structure, which would result in a disorderly cell arrangement ( [23,29]). To further illustrate the change of internal structure of copper-stressed leaves, some SEM images of leaves with different levels of copper stress are shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves

et al. 2017

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This paper proposes a modified model based on the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Compared with PROSPECT-5, the modified model adds the copper content of leaves as one of input variables, and the specific absorption coefficient related to copper (K cu ) was estimated and fixed in the modified model. The specific absorption coefficients of other biochemical components (chlorophyll, carotenoid, water, dry matter) were the same as those in PROSPECT-5. Firstly, based on PROSPECT-5, we estimated the leaf structure parameters (N), using biochemical contents (chlorophyll, carotenoid, water, and dry matter) and the spectra of all the copper-stressed leaves (samples). Secondly, the specific absorption coefficient related to copper (K cu ) was estimated by fitting the simulated spectra to the measured spectra using 22 samples. Thirdly, other samples were used to verify the effectiveness of the modified model. The spectra with the new model are closer to the measured spectra when compared to that with PROSPECT-5. Moreover, for all the datasets used for validation and calibration, the root mean square errors (RMSEs) from the new model are less than that from PROSPECT-5. The differences between simulated reflectance and measured reflectance at key wavelengths with the new model are nearer to zero than those with the PROSPECT-5 model. This study demonstrated that the modified model could get more accurate spectral reflectance from copper-stressed leaves when compared with PROSPECT-5, and would provide theoretical support for monitoring the vegetation stressed by copper using remote sensing.

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A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress

Cited by 51 publications

References 51 publications

Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China

Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China

Phytoremediation of metal-contaminated soils and their monitoring with proximal spectral sensing

Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves

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