50
Chapter 6
general-purpose users. Consequently, they may satisfy the majority of
customers without completely fulfilling their necessities. For this reason, I
believe the future generation of satellite platforms should be oriented toward
specific user communities, adapting state of the art technologies to solve
particular problems. Obviously, if systems are so clearly oriented, the
potential applications will be more restricted, but they will really satisfy to a
target user group. For instance, in the field of fire detection, high temporal
frequency is required (in the range of 15 to 30 minutes). This frequency may
not be useful for other applications (urban management or land cover, for
instance), and therefore many images of such a sensor may be unusable for
those applications. However, they are absolute critical for forest fire
managers who could not afford operational fire observations otherwise.
Since the development and technical costs of new sensors have been greatly
reduced recently, specially if small platforms are considered, investments of
such a dedicated remote sensing system might be cost-efficient, even with a
relatively small user community.
Another obstacle for the operational use of remote sensing data concerns
the availability of images to the end user. Decentralized facilities and low
cost products will be the ideal choice. The experience of free and worldwide
reception of AVHRR data to create a solid user community has been
excellent.
4.
REFERENCES
Burgan, R.E. and Rothermel, R.C. (1984) BEHAVE: Fire Behavior Prediction and Fuel
Modelling System. Fuel Subsystem, USDA Forest Service, Ogden, Utah.
Chuvieco, E. and Congalton, R.G. (1988) Mapping and inventory of forest fires from digital
processing of TM data, Geocarto International, 4, 41–53.
Chuvieco, E. and Martin, M.P. (1994) Global fire mapping and fire danger estimation using
AVHRR images, Photogrammetric Engineering and Remote Sensing, 60, 563–570.
Chuvieco, E. and Salas, J. (1996) Mapping the spatial distribution of forest fire danger using
G.I.S., International Journal of Geographical Information Systems, 10, 333–345.
Crutzen, P.J., Heidt, L.E., Krasnec, J.P., Pollock, W.H. and Seiler, W. (1979) Biomass burning a
a source of atmospheric gases, Nature, 282, 253-256.
Desbois, N., Pereira, J.M.C., Beaudoin, A., Chuvieco, E. and Vidal, A. (1997) Short Term
Fire Risk Mapping using Remote Sensing, in Chuvieco, E. (Editor), A review of remote
sensing methods for the study of large wildland fires, Alcalá de Henares, 29–61.
Isaacson, D.L., Smith, H.G., and Alexander, C.J. (1982) Erosion hazard reduction in a
wildfire damaged area, in Johannsen and Sanders (Editors): Remote Sensing for Resource
Management, Soil Conservation Society of America, Ankeny, 179–190.
Kennedy, P.J., Belward, A.S. and Grégoire, J.-M. (1994) An improved approach to fire
monitoring in West Africa using AVHRR data, International Journal of Remote Sensing, 15,
2235–2255.
Chapter 6
general-purpose users. Consequently, they may satisfy the majority of
customers without completely fulfilling their necessities. For this reason, I
believe the future generation of satellite platforms should be oriented toward
specific user communities, adapting state of the art technologies to solve
particular problems. Obviously, if systems are so clearly oriented, the
potential applications will be more restricted, but they will really satisfy to a
target user group. For instance, in the field of fire detection, high temporal
frequency is required (in the range of 15 to 30 minutes). This frequency may
not be useful for other applications (urban management or land cover, for
instance), and therefore many images of such a sensor may be unusable for
those applications. However, they are absolute critical for forest fire
managers who could not afford operational fire observations otherwise.
Since the development and technical costs of new sensors have been greatly
reduced recently, specially if small platforms are considered, investments of
such a dedicated remote sensing system might be cost-efficient, even with a
relatively small user community.
Another obstacle for the operational use of remote sensing data concerns
the availability of images to the end user. Decentralized facilities and low
cost products will be the ideal choice. The experience of free and worldwide
reception of AVHRR data to create a solid user community has been
excellent.
4.
REFERENCES
Burgan, R.E. and Rothermel, R.C. (1984) BEHAVE: Fire Behavior Prediction and Fuel
Modelling System. Fuel Subsystem, USDA Forest Service, Ogden, Utah.
Chuvieco, E. and Congalton, R.G. (1988) Mapping and inventory of forest fires from digital
processing of TM data, Geocarto International, 4, 41–53.
Chuvieco, E. and Martin, M.P. (1994) Global fire mapping and fire danger estimation using
AVHRR images, Photogrammetric Engineering and Remote Sensing, 60, 563–570.
Chuvieco, E. and Salas, J. (1996) Mapping the spatial distribution of forest fire danger using
G.I.S., International Journal of Geographical Information Systems, 10, 333–345.
Crutzen, P.J., Heidt, L.E., Krasnec, J.P., Pollock, W.H. and Seiler, W. (1979) Biomass burning a
a source of atmospheric gases, Nature, 282, 253-256.
Desbois, N., Pereira, J.M.C., Beaudoin, A., Chuvieco, E. and Vidal, A. (1997) Short Term
Fire Risk Mapping using Remote Sensing, in Chuvieco, E. (Editor), A review of remote
sensing methods for the study of large wildland fires, Alcalá de Henares, 29–61.
Isaacson, D.L., Smith, H.G., and Alexander, C.J. (1982) Erosion hazard reduction in a
wildfire damaged area, in Johannsen and Sanders (Editors): Remote Sensing for Resource
Management, Soil Conservation Society of America, Ankeny, 179–190.
Kennedy, P.J., Belward, A.S. and Grégoire, J.-M. (1994) An improved approach to fire
monitoring in West Africa using AVHRR data, International Journal of Remote Sensing, 15,
2235–2255.