TY  - JOUR
T1  - Detection and Discrimination of Stress in Bean (<I>Phaseolus vulgaris</I> Tendergreen) 
Caused by Oil Pollution and Waterlogging Using Combined Spectral and Thermal Remote 
Sensing
AU - Blackburn, G. A. AU - Theobald, J. C. AU - Emengini, E. J. 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 6
SP  - 302
EP  - 312
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.302.312
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.302.312
KW  - Remote sensing
KW  -spectral reflectance
KW  -thermography
KW  -oil pollution
KW  -oil pollution
KW  -plant stress
AB  - Remote sensing of plant stress holds promise for the detection of pollution 
  caused by oil; however, plant stress can be caused by a range of abiotic and 
  biotic factors present to varying degrees within a given environment. Thus, 
  for the accurate application of remedial measures, it is important to be able 
  to detect and discriminate between different causes of plant stress. In oil-rich 
  delta regions of the world, waterlogging is a frequent source of plant stress 
  that has similar physiological effects to those of oil pollution. Hence, this 
  study investigated the dual capabilities of spectral and thermal remote sensing 
  for detecting and discriminating between plant stress caused by a combination 
  of oil pollution and waterlogging. In a glasshouse, plants of pot grown bean 
  (<I>Phaseolus vulgaris</I> Tendergreen) were subjected to oil pollution, 
  waterlogging and combined oil and waterlogging treatments. Canopy physiological, 
  spectral, and thermal measurements were taken every 2 to 3 days following treatment 
  to follow the development of stress responses. For plants treated with oil, 
  spectral and thermal responses were evident 6 days before symptoms could be 
  observed visually. However, in waterlogged plants only spectral responses were 
  observed, and up to 8 days before visual symptoms. Based on timing and consistency 
  in sensitivity, a narrowband reflectance ratio R<SUB>673</SUB>/R<SUB>545</SUB> 
  was most efficient in detecting stress symptoms caused by oil and waterlogging. 
  The absolute canopy temperature and derived thermal index (Ig) were good 
  indicators of developing oil and combined oil and waterlogging stress in bean, 
  but were insensitive to waterlogging alone. Thus, this paper reports that by 
  combining spectral and thermal remote sensing, plant stress caused by oil pollution 
  can be detected and discriminated from stress caused by waterlogging. The findings 
  justify further research to investigate the wider applicability of this approach 
  and its potential as the basis for an operational monitoring technique for oil 
  pollution.
ER  -