ez, and 
riations 
>d with 
ons on 
06-210. 
, 1995. 
tent of 
wltiple- 
Remote 
»oire, J- 
to fire 
R data, 
15, pp. 
spatial 
and the 
d from 
images. 
2, pp. 
nproved 
3,7 um 
ological 
Biomass 
ospheric 
ess. 
Mapping 
'hematic 
). 31-37. 
and L. 
st fires: 
[982-83. 
ution of 
f fires in 
Fire in 
Springer 
legrandi, 
scars in 
a. Paper 
1 Global 
e, Ispra, 
ieco, E, 
e images 
fires. In: 
research, 
' sensing 
| change 
  
  
  
associated with bushfire events in Eastern 
Australia. Geocarto International, 1, pp. 25-35. 
Moran, M.S., Clarke, T.R., Inoue, Y. and 
Vidal, A., 1994. Estimating crop water deficit 
using the relation between surface-air temperature 
and spectral vegetation index, Remote Sensing of 
Environment, 49, pp. 246-263. 
Paltridge, G.W. and Barber, J. 1988. 
Monitoring grassland dryness and fire potential in 
Australia with NOAA/AVHRR data. Remote 
Sensing of Environment, 25, pp. 381-394. 
Pereira, J.M.C., Cadete, L. and Vasconcelos, 
M J.P., 1994. An assessment of the potential of 
NOAA/AVHRR HRPT imagery for burned area 
mapping in Portugal. In: Proc. 2nd International 
Conference on Forest Fire Research, Coimbra, 
C.15, vol. 2, pp. 665-666. 
Pereira, J.M.C., 1996. A comparative 
evaluation of NOAA/AVHRR vegetation indices 
for burned surface detection and mapping. IEEE 
Transactions on Geosciences and Remote Sensing 
(in press). 
Pereira, J.M.C., E. Chuvieco, A. Beaudoin and 
N. Desbois, 1997. Remote sensing of burned 
areas, In A review of remote sensing methods for 
the study of large wildland fires (E. Chuvieco, 
editor), University of Alcala, Alcala de Henares, 
Spain, pp. 127-183. 
Pinty, B., and Verstraete, M. M. (1992). 
GEMI: a non-linear index to monitor global 
vegetation from satellites. Vegetatio, 101, pp. 15- 
20. 
Prosper-Laget, V., Douguédroit, A. and 
Guinot, J.P., 1994. Mapping the risk of forest fire 
departure using NOAA satellite information. In: 
Proc. International Workshop on Satellite 
technology and GIS for Mediterranean forest 
mapping and fire management, Thessaloniki, pp. 
151-163. 
Riggan, P.J., Brass, J.A. and Lockwood, R.N., 
1993. Assessing fire emissions from tropical 
savanna and forest of central Brazil. 
Photogrammetric Engineering and Remote 
Sensing, 59, pp. 1009-1015. 
Robinson, J.M., 1991. Fire from space: global 
fire evaluation using infrared remote sensing. 
International Journal of Remote Sensing, 12, pp. 
3-24. 
Setzer, A.W. and Pereira, M.C. 1991. 
Amazonia biomass burnings in 1987 and an 
estimate of their tropospheric emissions. Ambio, 
20, pp. 19-23. 
Siljestróm, P. and A. Moreno, 1995. 
Monitoring burnt areas by principal components 
analysis of multitemporal TM data. International 
Journal of Remote Sensing, 16 (9), pp. 1577- 
1587. 
Tucker, C.J., 1980. Remote sensing of leaf 
water content in the near infrared, Remote 
Sensing of Environment, 10, pp. 23-32. 
Van Wagner, C.E., 1987. Development and 
structure of the Canadian Forest Fire Weather 
Index system, Technical Report 15, Canada 
Forest Service, Ottawa. 
Vidal, A., Pinglo, F., Durand, H., Devaux-Ros, 
C. and Maillet, A., 1994. Evaluation of temporal 
fire risk index in Mediterranean forest from 
NOAA thermal IR, Remote Sensing of 
Environment, 49, pp. 296-303. 
Vidal A. and Devaux-Ros C., 1995. Evaluating 
forest fire hazard with a Landsat TM derived 
water stress index, Agricultural and Forest 
Meteorolory, T1, pp. 207-224. 
Viegas, D.X., Sol, B., Bovio, G., Nosenzo, A. 
and Ferreira, A., 1994. Comparative study of 
various methods of fire danger evaluation in 
Southern Europe, Proc. 2nd Int. Conference on 
Forest Fire Research, Coimbra, vol. 2, pp. 571- 
590. 
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 645