TY - JOUR
T1 - Spectral changes in the leaves of barley plant due to phytoremediation of metals
T2 - results from a pot study
AU - Rathod, Paresh H.
AU - Brackhage, Carsten
AU - van der Meer, Freek D.
AU - Muller, Ingo
AU - Noomen, Marleen F.
AU - Rossiter, David G.
AU - Dudel, Gert E.
PY - 2015/1
Y1 - 2015/1
N2 - This research studied the changes in leaf reflectance spectra (350–2500 nm) due to metal phytoextraction into barley plants grown in metal-spiked soils (3 levels of Cd, Pb, As and their metal-mixture treatments). Growth of barley was adversely affected due to 100 mg As kg-1 and metal-mixture (10 Cd+150 Pb+100 As; mg kg-1) treatments. Metal phytoextraction were in order of: root>straw≥leaves >grains. Results of reflectance spectra of leaves show the influence of As-treatment only, causing spectral changes in visible and infrared domains mostly, as apparent from the significant correlation between leaf-As and leaf-spectra. Chlorophyll and water stress indices and band depths analyses showed significant correlations to leaf-As, and can be used to distinguish metal-stressed plants. Finally, regression models demonstrate the potential use of hyperspectral reflectance data to monitor plant health during phytoremediation process and to estimate leaf-As in barley, particularly in this study.
AB - This research studied the changes in leaf reflectance spectra (350–2500 nm) due to metal phytoextraction into barley plants grown in metal-spiked soils (3 levels of Cd, Pb, As and their metal-mixture treatments). Growth of barley was adversely affected due to 100 mg As kg-1 and metal-mixture (10 Cd+150 Pb+100 As; mg kg-1) treatments. Metal phytoextraction were in order of: root>straw≥leaves >grains. Results of reflectance spectra of leaves show the influence of As-treatment only, causing spectral changes in visible and infrared domains mostly, as apparent from the significant correlation between leaf-As and leaf-spectra. Chlorophyll and water stress indices and band depths analyses showed significant correlations to leaf-As, and can be used to distinguish metal-stressed plants. Finally, regression models demonstrate the potential use of hyperspectral reflectance data to monitor plant health during phytoremediation process and to estimate leaf-As in barley, particularly in this study.
U2 - 10.5721/EuJRS20154816
DO - 10.5721/EuJRS20154816
M3 - Article
SN - 2279-7254
VL - 48
SP - 283
EP - 302
JO - European Journal of Remote Sensing
JF - European Journal of Remote Sensing
IS - 1
ER -
