ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 4, pp. 319-326

Early detection of vegetation physiological stress from multispectral data

R. Kancheva , I. Iliev , D. Borisova , G. Georgiev 
Space and Solar-Terrestrial Research Institute - Bulgarian Academy of Sciences, Acad.G.Bonchev str., bl.3, 1113 Sofia, Bulgaria
Ecological problems relevant to anthropogenic impacts on the environment and first of all on the biosphere, are of global importance. They have drawn the attention of various scientists imposing the development of efficient means for assessing the affects of anthropogenic factors specifically on vegetation land covers. Heavy metal pollution is one of the most severe problems concerning natural vegetation resources as well as agricultural crops. Among other methods used for plant phytodiagnostics, an increasing role becomes to play the analysis of land covers radiation behavior. Visible and near infrared measurements have proved abilities in vegetation monitoring for the assessment of plant biophysical parameter. These parameters are associated with plant development and are closely related to vegetation physiological state. In this study multispectral data of peas (Pisum sativum) plants have been used to demonstrate the detection of plant physiological stress caused by heavy metal pollution. The effects of CdCl2 applied in different concentration are associated with plant biomass growth, chlorophyll and carotenoid variations.
Keywords: multispectral data, reflectance, transmittance, heavy metals, vegetation pollution, physiological stress detection
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  1. Kancheva R., D. Borisova, G. Georgiev, Informational Potential of Vegetation Spectral Reflectance in Anthropogenic Impact Studies, Annual of UMG “St. Ivan Rilski”, Part 1: Geology and Geophysics, 2003, Vol. 46, pp. 355-359.
  2. Kancheva R., D. Borisova, Plant Physiological Stress Detected by Spectral Features, In: Contemporary Problems of Solar-Terrestrial Influences, 2003, pp. 174-177.
  3. Kancheva R., D. Borisova, V. Kapchina-Toteva, S. Chankova, N. Naidenova, Effects of Cadmium Pollution in Pisum sativum Depending on the Growing Conditions, Compt. Rend. Acad. bulg. Sci., 2001, Vol. 54, No. 5, рр. 21-26.
  4. Kancheva R., Borisova D., Vegetation stress indicators derived from multispectral and multitemporal data, Space Technology, 2007, Vol. 26, No. 3, pp. 1-8.
  5. Kancheva R., G. Georgiev, V. Boycheva, V. Ilieva, T. Popova, Spectral reflectance features of soil-vegetation system for crop heavy metal stress indication, Soils Science, Agrochemistry and Ecology, Part ІІІ, 1996, pp. 96-99.
  6. Lichtenthaler, H.K., Buschmann, C., Chlorophylls and carotenoids: measurement and characterization by UV-VIS spectroscopy, Current Protocols in Food Analytical Chemistry, 2001, pp. F4.3.1-F4.3.8.
  7. Feret J.-B., G.P. Asner, C. François, R. Martin, S.L. Ustin, S. Jacquemoud, An advanced leaf optical properties model including phytosynthetic pigments, Proceed. Intern. Symp. on Physical Measurements and Signatures in Remote Sensing, Davos, Switzerland, 2007.
  8. Zhang Y., J. Chen, C. Thomas, Retrieving seasonal variation in chlorophyll content of overstory and undestory sugar maple leaves from leaf level hyperspectral data, Canadian Journal of Remote Sensing, 2007, Vol. 33, No. 5, pp. 406-415.
  9. Daughtry C.S.T., C.L. Walthall, M.S. Kim, E. Brown de Colstoun, J.E. McMurtrey, III Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance, Remote Sens. Environ., 2000, No. 74, pp. 229-239.
  10. Gregory A., Carter K. Knapp, Alan K. Knapp, Leaf optical properties in higher plants: linking spectral characterisyics to stress and chlorophyll concentration, American Journal of Botany, 2001, Vol. 88, No. 4, pp. 677-684.
  11. Iliev I., Elektronika i elektrotekhnika, 2000, No. 3-4, pp. 43-47.