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An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah

by: Trigg S., and Flasse S.

In: International Journal of Remote Sensing, Vol. 22 (1 September 2001) , p. 2641-26477.

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URL:	http://www.ingentaconnect.com/content/tandf/tres/2001/00000022/00000013/art00015

We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared MIR wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.

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IngentaConnect An evaluation of different bi-spectral spaces for discriminating ...

BibTeX record

@article{TriggFlasse2001,
  abstract = {We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared (MIR) wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.},
  added-at = {2009-04-29T19:07:31.000+0200},
  author = {S., Trigg and S., Flasse},
  biburl = {http://www.bibsonomy.org/bibtex/2b3a51f555c56b88e77a1af4a767d2450/jgomezdans},
  description = {IngentaConnect An evaluation of different bi-spectral spaces for discriminating ...},
  interhash = {66a8cf0ffba03c0a84a124d6e6c94e95},
  intrahash = {b3a51f555c56b88e77a1af4a767d2450},
  journal = {International Journal of Remote Sensing},
  keywords = {burnedarea burning burnscar fire fires reflectance remotesensing satellite vegetation wildfire},
  pages = {2641-2647(7)},
  timestamp = {2009-04-29T19:07:31.000+0200},
  title = {An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah},
  url = {http://www.ingentaconnect.com/content/tandf/tres/2001/00000022/00000013/art00015},
  volume = 22,
  year = {1 September 2001}
}

Endnote record

%0 Journal Article
%1 TriggFlasse2001
%A S., Trigg
%A S., Flasse
%D 1 September 2001
%J International Journal of Remote Sensing
%K 
%P 2641-2647(7)
%T An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah
%U http://www.ingentaconnect.com/content/tandf/tres/2001/00000022/00000013/art00015
%V 22
%X We report on the numerical separation of burned and unburned vegetation classes using different bi-spectral spaces, based on the analysis of spectroradiometric data collected in situ and convolved to five spectral bands at red to mid-infrared (MIR) wavelengths. A combination of two MIR bands was found to have strong spectral separation of burned and unburned samples. Using these bands, a spectral index was formulated which is highly sensitive to spectral changes due to burning and relatively insensitive to intrinsic variability. Results have implications for the remote sensing of burned shrub-savannah using bands available on high- and low-spatial resolution sensors, in particular, Landsat TM and MODIS.