INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION AN AUTOMATED PROCEDURE FOR MULTI-TEMPORAL THRESHOLD ALGORITHM FOR FOREST FIRE DETECTION USING MSG SATELLITE Tawanda Manyangadze John Molefe Zimbabwe
OUTLINE Objectives Methodology Results Conclusion and Recommendations
OBJECTIVE To develop a near real time automated procedure for multi-temporal threshold algorithm for forest fire detection using MSG satellite. Day 1 Day -n x Y Time 0230 UTC
Multi-temporal threshold algorithm Thresholds for the algorithm Actual fire (i) dT 3.9µm >m t(3.9µm) + f 1 (S t(3.9µm) ) (ii) T dif >m dif + f 2 (S dif ) Probable fire (i)dT 3.9µm >m t(3.9µm) + f 3 (S t(3.9µm) )<m t(3.9µm) + f 1 (S t(3.9µm) ) (ii) T dif > m dif + f 4 (S dif )<m dif + f 2 (S dif ) Day time f 1 = 2.5; f 2 =3; f 3 =2; f 4 =2.5; Night time f 1 =1; f 2 =3; f 3 =0; f 4 =0 Day: Solar zenith angle 90 0 Twilight Conditions : Linear Interpolation
Automated Procedure for the Multi- temporal threshold algorithm Solar zenith angles Multi-temporal analysis – temperature anomaliesCloud masking
Scripts (ILWIS) (i) Create_solarzenithangles_maps (ii) CLM_processing (iii)Active_fire_detection_algorithm_v1.2.1 It should take less than 15 minutes to process the whole procedure and get the fire map Automated Procedure for the Multi- temporal threshold algorithm
Solar zenith angles Illumination conditions 1700 UTC 06 September 2007 Solar Zenith Angles 1700 UTC 06 September
F 1 Thresholds 1700 UTC 06 September
Results: Southern Africa
CONCLUSION & RECOMMENDATIONS Conclusion Multi-temporal method can be used in near real-time forest fire detection and monitoring This algorithm can be applied to other areas in the view of MSG and other geostationary satellites Recommendations Further validation of the algorithm Consider soil emissivity Apply the algorithm to other geostationary satellites Reduce the running time (Improve efficiency)
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