Page 268 - Geochemical Remote Sensing of The Sub-Surface
P. 268

Aerospace detection of hydrocarbon-induced alteration                241

           perhaps  in  areas  of  profuse  vertical  microseepage.  Spectral  reflectance  intensity  was
           found  to  have  no  significant  correlation  with  the  presence  or  absence  of  surface  or
           subsurface  hydrocarbons.
              In  the  Stoney  Point  oil  field,  Michigan,  Fluorescence  Line  Imager  (FLI)  data,
           covering the spectral range of 0.430  to 0.805  ~tm in 288  channels,  were collected  in both
           spatial  mode  and  spectral  mode.  With  the  advantage  of  the  high  spatial  and  spectral
           resolutions  of the two  modes,  three  features  of vegetation  were detected:  (1) a decrease
           in the height  of the  infrared  shoulder (Rs) due  to structural  damage  (Rock,  1988);  (2)  an
           increase in the reflectance at the chlorophyll  absorption  maximum (Ro)  due to decreased
           leaf chlorophyll  (Singhroy  et  al.,  1986);  and  (3)  a  shift  in  the  position  of the  red  edge
           (~,p) towards  shorter  wavelengths  (Fig.  7-3).  A  stress  image  with  low  digital  numbers
           representing  anomalous  areas was created by multiplying Rs by kp.  Reid (1988)  reported
           encouraging  relationships  between  C2-C4 hydrocarbons  in  soil  and  anomalies  in  the
           stress image.
              At  the  Mist  gas  field  in  Oregon,  high-resolution  reflectance  spectra  data  of Douglas
           Fir  trees  (obtained  with  a  spectroradiometer  built  by  Geophysical  Environmental
           Research  Inc.)  revealed  spectral  differences  seemingly related  to chlorosis.  Douglas  Firs
           off-field  have  higher  reflectivity  in  the  0.750  to  0.125  ~tm  range  and  a  stronger
           absorption  feature  at  1200  ~tm than  those  on-field.  Some  Douglas  Firs  on-field  exhibit
           higher  reflectivity  in  the  0.550  to  0.650  pm  region  and  a  shift  towards  shorter
           wavelengths  of the  sharp  rise  in reflectivity  at 0.700  ~tm. Locally,  however,  chlorosis  is
           poorly  correlated  with  commercial  gas  production.  Microscopic  examination  of needles
           from  Douglas  Firs  on-field  revealed  the  presence  of  stress  effects  at  the  cellular  level.
           Trees  characterised  by both  chlorosis  and cell damage  may be  indicative  of more  severe
           stress  conditions.  Crawford  (1986)  suggested  that  the  poor  health  of Douglas  Firs  on-
           field  may be  caused  by  geochemical  changes  in  soil  and  groundwater  of their root  zone
           induced by methane above the gas reservoirs.
              Natural  gas  seeps  occur  in  the  central  portion  of the  Sao  Francisco  Basin  of central
           Brazil and,  in areas of soil gas anomalies,  eucalyptus trees show clear signs of nutritional
           deficiency.  Oliveria  and  Crosta  (1996)  simulated  Landsat  TM  data  for  bands  1-4  by
           flying a non-imaging  airborne  data acquisition  system (SADA)  at a height of  150 metres
           over  healthy  and  nutritionally-deficient  eucalyptus  stands.  The  resulting  data  were
           analysed  alongside  the  corresponding  Landsat  TM  data.  Eucalyptus  in  areas  of
           hydrocarbon  microseepage  exhibits  higher  reflectance  in  TM  band  3  (chlorophyll
           absorption)  compared  to  eucalyptus  outside  the  anomalous  areas.  This  is  attributed  to  a
           reduction  in chlorophyll pigmentation  due to hydrocarbon-related  stress.  The presence  of
           hydrocarbons  seems  also  to  produce  lower  reflectance  in  TM  band  4,  probably  due  to
           individual  trees  imposing  differential  conditions  on  the  internal  structure  of the  canopy.
           There  may  also  be  an effect  on the  spectral  contribution  from underlying  soil  energy;  in
           areas  of  microseepage,  this  effect  is  more  pronounced  due  to  the  lower  vegetation
           density.
   263   264   265   266   267   268   269   270   271   272   273