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

We report on the numerical separation of burned and unburned vegetation cla sses using different bi-spectral spaces, based on the analysis of spectrora diometric data collected in situ and convolved to five spectral bands at re d to mid-infrared (MIR) wavelengths, A combination of two MIR bands was fou nd 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 var iability. 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.