Current products are created for scientific use only. Neither quality nor completeness of the presented information is guaranteed and the data producers do not accept any responsibility for its correctness and timeliness.
IS4FIRES is built on the basis of active-fire remote-sensing observations following the algorithm described in Sofiev et al, (2009).
IS4FIRES utilizes two semi-independent datasets built on the (I) Temperature Anomaly and (II) Fire Radiative Power.
Based on these two products the IS4FIRES+SILAM system generates:
SILAM is an open-code system and free for research applications. Contact us to obtain the model.