230
Views
7
CrossRef citations to date
0
Altmetric
Research Papers

Detecting heavy metal pollution of floodplain vegetation in a pot experiment using reflectance spectroscopy

, &
Pages 499-507 | Received 20 Nov 2015, Accepted 19 Jun 2016, Published online: 21 Jul 2016

References

  • Ackermann, J., et al., 2010. Minerals controlling arsenic distribution in floodplain soils. European Journal of Soil Science, 61 (4), 588–598.
  • Ashourloo, D., Mobasheri, M., and Huete, A., 2014. Evaluating the effect of different wheat rust disease symptoms on vegetation indices using hyperspectral measurements. Remote Sensing, 6 (6), 5107–5123.
  • Asselman, N.E.M., and Middelkoop, H., 1995. Floodplain sedimentation: quantities, patterns and processes. Earth Surface Processes and Landforms, 20 (6), 481–499.
  • Baborowski, M., et al., 2005. Comparison of different monitoring programs of the 2002 summer flood in the river Elbe. Acta hydrochimica et hydrobiologica, 33 (5), 404–417.
  • Baborowski, M., et al., 2012. Spatial variability of metal pollution in Groyne fields of the middle Elbe – implications for sediment monitoring. Environmental Pollution, 167, 115–123.
  • Bandaru, V., et al., 2010. Quantifying arsenic-induced morphological changes in spinach leaves: implications for remote sensing. International Journal of Remote Sensing, 31 (15), 4163–4177.
  • Büttner, O., et al., 2006. Numerical modelling of floodplain hydraulics and suspended sediment transport and deposition at the event scale in the middle river Elbe, Germany. Acta hydrochimica et hydrobiologica, 34 (3), 265–278.
  • Chi, G.Y., et al., 2006. Studies of relationships between Cu pollution and spectral characteristics of Tritiznm aestivum L. Spectroscopy and Spectral Analysis, 26 (7), 1272–1276.
  • Cho, M.A., and Skidmore, A.K., 2006. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method. Remote Sensing of Environment, 101 (2), 181–193.
  • Clevers, J.G.P.W., Kooistra, L., and Salas, E.A.L., 2004. Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data. International Journal of Remote Sensing, 25 (19), 3883–3895.
  • Daughtry, C.S.T., et al., 1996. Spectral reflectance of soils and crop residues. In: A. Davies, and P. Williams, eds. The Proceedings of the 7th International Conference on Near Infrared Spectroscopy, 6–11, August 1995, Montreal, Canada. Chichester: NIR Publications, 505–511.
  • Daughtry, C.S.T., et al., 2005. Remote sensing the spatial distribution of crop residues. Agronomy Journal, 97 (3), 864–871.
  • Díaz, J., et al., 2001. Induction of shikimate dehydrogenase and peroxidase in pepper (Capsicum annuum L.) seedlings in response to copper stress and its relation to lignification. Plant Science, 161 (1), 179–188.
  • Du Laing, G., et al., 2009. Trace metal behaviour in estuarine and riverine floodplain soils and sediments: A review. Science of The Total Environment, 407 (13), 3972–3985.
  • Dunagan, S.C., Gilmore, M.S., and Varekamp, J.C., 2007. Effects of mercury on visible/near-infrared reflectance spectra of mustard spinach plants (Brassica rapa P.). Environmental Pollution, 148 (1), 301–311 [Accessed 12 October 2012].
  • FutMV, 2000. Neufassung der Futtermittelverordnung vom 23 November 2000 (Food ordinance for livestock dated 23 November 2000). Bundesgesetzblatt I 51, 1605.
  • Gamon, J., Peñuelas, J., and Field, C., 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment, 41 (1), 35–44.
  • Gamon, J.A., and Surfus, J.S., 1999. Assessing leaf pigment content and activity with a reflectometer. New Phytologist, 143 (1), 105–117.
  • Gläßer, C., and Reinartz, P., 2005. Multitemporal and multispectral remote sensing approach for flood detection in the Elbe-Mulde region 2002. Acta hydrochimica et hydrobiologica, 33 (5), 395–403.
  • Götze, C., et al., 2010. Spectrometric analyses in comparison to the physiological condition of heavy metal stressed floodplain vegetation in a standardised experiment. Central European Journal of Geosciences, 2 (2), 132–137.
  • Hoque, E., and Hutzler, P.J., 1992. Spectral blue-shift of red edge monitors damage class of beech trees. Remote Sensing of Environment, 39 (1), 81–84.
  • Horler, D.N.H., Dockray, M., and Barber, J., 1983. The red edge of plant leaf reflectance. International Journal of Remote Sensing, 4 (2), 273–288.
  • IUSS Working Group WRB, 2014. World reference base for soil resources 2014. International soil classification system for naming soils and creating legends for soil maps. Rome: World Soil Resources Reports No. 106. FAO.
  • Kokaly, R., and Clark, R., 1999. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression. Remote Sensing of Environment, 67 (3), 267–287.
  • Kooistra, L., et al., 2003. A comparison of methods to relate grass reflectance to soil metal contamination. International Journal of Remote Sensing, 24 (24), 4995–5010.
  • Kooistra, L., et al., 2004. Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains. Environmental Pollution, 127 (2), 281–290.
  • Krüger, F., et al., 2006. Methods to calculate sedimentation rates of floodplain soils in the middle region of the Elbe River. Acta hydrochimica et hydrobiologica, 34 (3), 175–187.
  • Kruse, J.K., Christians, N.E., and Chaplin, M.H., 2006. Remote sensing of nitrogen stress in creeping bentgrass. Agronomy Journal, 98 (6), 1640–1645.
  • Kundzewicz, Z.W., et al., 2010. Assessing river flood risk and adaptation in Europe – review of projections for the future. Mitigation and Adaptation Strategies for Global Change, 15 (7), 641–656.
  • Liu, M., et al., 2011. Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model. Computers & Geosciences, 37 (10), 1642–1652.
  • Merzlyak, M.N., et al., 1999. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiologia Plantarum, 106 (1), 135–141.
  • Middelkoop, H., 2000. Heavy-metal pollution of the river Rhine and Meuse floodplains in the Netherlands. Netherlands Journal of Geoscience, 79 (4), 411–428.
  • Milton, N., et al., 1989. Arsenic- and selenium-induced changes in spectral reflectance and morphology of soybean plants. Remote Sensing of Environment, 30 (3), 263–269.
  • Misra, M.K., and Misra, B.N., 1981. Seasonal changes in Leaf Area Index and chlorophyll in an Indian grassland. Journal of Ecology, 69 (3), 797–805. Available from: http://www.jstor.org/stable/2259637.
  • Moura, J.C.M.S., et al., 2010. Abiotic and biotic stresses and changes in the lignin content and composition in plants. Journal of Integrative Plant Biology, 52 (4), 360–376.
  • Nied, M., Hundecha, Y., and Merz, B., 2013. Flood-initiating catchment conditions: a spatio-temporal analysis of large-scale soil moisture patterns in the Elbe River basin. Hydrology and Earth System Sciences, 17 (4), 1401–1414.
  • Noomen, M.F., et al., 2006. Continuum removed band depth analysis for detecting the effects of natural gas, methane and ethane on maize reflectance. Remote Sensing of Environment, 105 (3), 262–270.
  • Ockenfeld, K., et al., 2005. Displacement of pollutants during the River Elbe flood in August 2002. Acta hydrochimica et hydrobiologica, 33 (5), 391–394.
  • Overesch, M., et al., 2007. Metals and arsenic in soils and corresponding vegetation at Central Elbe river floodplains (Germany). Environmental Pollution, 145 (3), 800–812.
  • Peñuelas, J., Baret, F., and Filella, I., 1995. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. Photosynthetica, 31 (2), 221–230.
  • Peñuelas, J., et al., 1993. The reflectance at the 950–970 nm region as an indicator of plant water status. International Journal of Remote Sensing, 14 (10), 1887–1905.
  • Pizzuto, J.E., 1987. Sediment diffusion during overbank flows. Sedimentology, 34 (2), 301–317.
  • Pruvot, C., et al., 2006. Heavy metals in soil, crops and grass as a source of human exposure in the former mining areas (6 pp.). Journal of Soils and Sediments, 6 (4), 215–220.
  • Rathod, P.H., et al., 2013. Proximal spectral sensing to monitor phytoremediation of metal-contaminated soils. International Journal of Phytoremediation, 15 (5), 405–426.
  • Ren, H.-Y., et al., 2008. Hyper-spectral remote sensing to monitor vegetation stress. Journal of Soils and Sediments, 8 (5), 323–326.
  • Richardson, A.D., Duigan, S.P., and Berlyn, G.P., 2002. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist, 153 (1), 185–194.
  • Rinklebe, J., Franke, C., and Neue, H.-U., 2007. Aggregation of floodplain soils based on classification principles to predict concentrations of nutrients and pollutants. Geoderma, 141 (3–4), 210–223.
  • Rinklebe, J., and Shaheen, S.M., 2014. Assessing the mobilization of cadmium, lead, and nickel using a seven-step sequential extraction technique in contaminated floodplain soil profiles along the central Elbe River, Germany. Water, Air, & Soil Pollution, 225, 2039.
  • Rock, B., Hoshizaki, T., and Miller, J., 1988. Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline. Remote Sensing of Environment, 24 (1), 109–127.
  • Rouse, J.W., et al., 1973. Monitoring vegetation systems in the Great Plains with ERTS. Third ERTS Symposium 1973, 309–317.
  • Rupp, H., et al., 2010. A scale-dependent approach to study pollution control processes in wetland soils using three different techniques. Ecological Engineering, 36 (10), 1439–1447.
  • Savitzky, A., and Golay, M.J.E., 1964. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry, 36 (8), 1627–1639.
  • Schuerger, A.C., et al., 2003. Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in Bahia grass (Paspalum notatum Flugge.). Remote Sensing of Environment, 84 (4), 572–588.
  • Schulz-Zunkel, C., et al., 2013. Spatial and seasonal distribution of trace metals in floodplain soils. A case study with the Middle Elbe River, Germany. Geoderma, 211–212, 128–137.
  • Schulz-Zunkel C. and Krueger, F., 2013. Spatial and seasonal distribution of trace metals in floodplain soils. A case study with the Middle Elbe River, Germany. Geoderma, 211–212, 128–137.
  • Schulz-Zunke, C., and Krueger, F., 2009. Trace metal dynamics in floodplain soils of the river Elbe: a review. Journal of Environmental Quality, 38 (4), 1349–1362.
  • Serrano, L., Peñuelas, J., and Ustin, S.L., 2002. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data. Remote Sensing of Environment, 81 (2–3), 355–364.
  • Slaton, M., Raymond, H.J., and Smith, W.K., 2001. Estimating near-infrared leaf reflectance from leaf structural characteristics. American Journal of Botany, 88 (2), 278–284.
  • Splajt, T., Ferrier, G., and Frostick, L.E., 2003. Monitoring of landfill leachate dispersion using reflectance spectroscopy and ground-penetrating radar. Environmental Science & Technology, 37 (18), 4293–4298.
  • Stagakis, S., et al., 2010. Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: an application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations. Remote Sensing of Environment, 114 (5), 977–994.
  • Sweet, R.J., et al., 2003. Morphological controls on medium-term sedimentation rates on British lowland river floodplains. Hydrobiologia, 494 (1–3), 177–183.
  • Thonon, I., Middelkoop, H., and van der Perk, M., 2007. The influence of floodplain morphology and river works on spatial patterns of overbank deposition. Netherlands Journal of Geosciences, 86 (1), 63–75.
  • van der Lee, G.E.M., Olde Venterink, H., and Asselman, N.E.M., 2004. Nutrient retention in floodplains of the Rhine distributaries in The Netherlands. River Research and Applications, 20 (3), 315–325.
  • Walling, D.E., He, Q., and Nicholas, A.P., 1996. Floodplains as suspended sediment sinks. In: M.G. Anderson, D.E. Walling, and P.D. Bates, eds. Floodplain processes. Chichester: Wiley, 399–440.
  • Yang, Y.-J., Cheng, L.-M., and Liu, Z.-H., 2007. Rapid effect of cadmium on lignin biosynthesis in soybean roots. Plant Science, 172 (3), 632–639.
  • Zachmann, D., van der Veen, A., and Friese, K., 2013. Floodplain lakes as an archive for the metal pollution in the River Elbe (Germany) during the 20th century. Applied Geochemistry, 35, 14–27.
  • Zimmer, D., et al., 2011. Scale-dependent variability of as and heavy metals in a river Elbe Floodplain. CLEAN – Soil, Air, Water, 39 (4), 328–337.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.