Hyperspectral signature analysis of three plant species to long-term hydrocarbon and heavy metal exposure

Lassalle, Guillaume; Crédoz, Anthony; Fabre, Sophie; Hédacq, Rémy; Dubucq, Dominique; Elger, Arnaud

doi:10.1117/12.2277709

Cited by 5 publications

(17 citation statements)

References 64 publications

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“…Alterations in leaf biophysical and biochemical parameters lead to reflectance changes, which help discriminate between healthy and affected vegetation [12,22]. Previous work focused on pigment alteration, since it is responsible for the increase in reflectance typically observed in the visible (VIS) when plants are exposed to TPH [23][24][25]. The amplitude of this increase is influenced by the level of contamination [14,26].…”

Section: Introductionmentioning

confidence: 99%

“…The model has been recently improved and now enables pigment separation [42][43]. This is of major importance for detecting and estimating TPH, since not all pigments are affected in the same way by contamination [24][25]. PROSPECT could therefore be used for detecting and estimating TPH-induced changes in leaf pigment contents and consequently for determining the level of soil contamination [23,34].…”

Section: Introductionmentioning

confidence: 99%

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Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

Lassalle

Fabre

Crédoz

et al. 2019

Journal of Hazardous Materials

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Recent advances in hyperspectral spectroscopy suggest making use of leaf optical properties for monitoring soil contamination in oil production regions by detecting pigment alterations induced by Total Petroleum Hydrocarbons (TPH). However, this provides no quantitative information about the level of contamination. To achieve this, we propose an approach based on the inversion of the PROSPECT model. 1620 leaves from five species were collected on a site contaminated by 16 to 77 g.kg-1 of TPH over a 14-month period. Their spectral signature was measured and used in PROSPECT model inversions to retrieve leaf biochemistry. The model performed well for simulating the spectral signatures (RMSE < 2%) and for estimating leaf pigment contents (RMSE ≤ 2.95 µg.cm-2 for chlorophylls). Four out of the five species exhibited alterations in pigment contents when exposed to TPH. A strong correlation was established between leaf chlorophyll content and soil TPH concentrations (R 2 ≥ 0.74) for three of them, allowing accurate predictions of TPH (RMSE = 3.20 g.kg-1 and RPD = 5.17). The accuracy of predictions varied by season and improved after the growing period. This study demonstrates the capacity of PROSPECT to estimate oil contamination and opens up promising perspectives for larger-scale applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

Lassalle

Fabre

Crédoz

et al. 2019

Journal of Hazardous Materials

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“…Below a certain concentration, oil no longer alters leaf pigment and water contents, so soil contamination becomes very difficult to detect using vegetation reflectance [21,28,30]. This detection limit strongly depends on the sensitivity of the species, and is higher for oil-tolerant species [20,33,38,89]. Thus, the closer the level of contamination to this limit, the less accurate the classification.…”

Section: Validation Of Oil Detectionmentioning

confidence: 99%

“…As suggested in previous work, this could be achieved by experiments carried out under controlled conditions [28,35]. Several studies have aimed to characterize the effects of oil on vegetation reflectance under controlled conditions [29,[36][37][38]. Vegetation indices and spectrum transformations (first and second derivatives, continuum removal) have been frequently used for this purpose [20,30,[38][39][40].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have aimed to characterize the effects of oil on vegetation reflectance under controlled conditions [29,[36][37][38]. Vegetation indices and spectrum transformations (first and second derivatives, continuum removal) have been frequently used for this purpose [20,30,[38][39][40]. The wavelengths linked to pigment and water contents were particularly suitable for distinguishing healthy and oil-exposed vegetation with no or minor confusion [21,34].…”

Section: Introductionmentioning

confidence: 99%

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Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

et al. 2019

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Recent remote sensing studies have suggested exploiting vegetation optical properties for assessing oil contamination, especially total petroleum hydrocarbons (TPH) in vegetated areas. Methods based on the tracking of alterations in leaf biochemistry have been proposed for detecting and quantifying TPH under controlled and field conditions. In this study, we expand their use to airborne imagery, in order to monitor oil contamination at a larger scale. Airborne hyperspectral images with very high spatial and spectral resolutions were acquired over an industrial site with oil-contamination (mud pits) and control sites both colonized by Rubus fruticosus L. The method of oil detection exploiting 14 vegetation indices succeeded in classifying the sites in the case of high TPH contamination (overall accuracy ≥ 91.8%). Two methods, based on either the PROSAIL (PROSPECT + SAIL) radiative transfer model or elastic net multiple regression, were also developed for quantifying TPH. Both methods were tested on reflectance measurements in the field, at leaf and canopy scales, and on the image, and achieved accurate predictions of TPH concentrations (RMSE ≤ 3.28 g/kg −1 and RPD ≥ 1.90). The methods were validated on additional sites and open up promising perspectives of operational application for oil and gas companies, with the emergence of new hyperspectral satellite sensors.

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Estimating persistent oil contamination in tropical region using vegetation indices and random forest regression

Lassalle

Crédoz

Hédacq

et al. 2019

Ecotoxicology and Environmental Safety

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The persistence of soil contamination after cessation of oil activities remains a major environmental issue in tropical regions. The assessment of the contamination is particularly difficult on vegetated sites, but promising advances in reflectance spectroscopy have recently emerged for this purpose. This study aimed to exploit vegetation reflectance for estimating low concentrations of Total Petroleum Hydrocarbons (TPH) in soils. A greenhouse experiment was carried out for 42 days on Cenchrus alopecuroides (L.) under realistic tropical conditions. The species was grown on oil-contaminated mud pit soils from industrial sites, with various concentrations of TPH. After 42 days, a significant decrease in plant growth and leaf chlorophyll and carotenoid contents was observed for plants exposed to 5 to 19 g.kg-1 TPH in comparison to the controls (p < 0.05). Conversely, pigment contents were higher for plants exposed to 1 g.kg-1 TPH (hormesis phenomenon). These modifications proportionally affected the reflectance of C. alopecuroides at leaf and plant scales, especially in the visible region around 550 and 700 nm. 33 vegetation indices were used for linking the biochemical and spectral responses of the species to oil using elastic net regressions. The established models indicated that chlorophylls a and b and β-carotene were the main pigments involved in the modifications of reflectance (R 2 > 0.7). The same indices also succeeded in estimating the concentrations of TPH using random forest regression, at leaf and plant scales (RMSE = 1.46 and 1.63 g.kg-1 and RPD = 5.09 and 4.44, respectively). Four out of the 33 indices contributed the most to the models (>75%). This study opens up encouraging perspectives for monitoring the cessation of oil activities in tropical regions. Further researches will focus on the application of our approach at larger scale, on airborne and satellite imagery.

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Hyperspectral signature analysis of three plant species to long-term hydrocarbon and heavy metal exposure

Cited by 5 publications

References 64 publications

Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

Estimating persistent oil contamination in tropical region using vegetation indices and random forest regression

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