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Inetegrated Forest Fire Analysis framework

Inetegrated Forest Fire Analysis framework. Fire incidences are common menace. Incidences of fire are common in forest area through out India Reason may vary as per geography Problem and intensity remain the same Wide range of data is available- Mostly Locational. But….

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Inetegrated Forest Fire Analysis framework

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  1. Inetegrated Forest Fire Analysis framework Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  2. Fire incidences are common menace • Incidences of fire are common in forest area through out India • Reason may vary as per geography • Problem and intensity remain the same • Wide range of data is available- Mostly Locational Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  3. But…. • Data are Rarely analyzed • Even if analyzed that too in isolation from other relevant information • Delayed Analysis and that too mostly based on perceived bias • Predictions are mostly absent or based on only locations and never on reasons Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  4. measures through established practices are also common • Fire Lines • Fire Watchers • Infrastructural Support • Common Awareness Program • Sharing of Satellite data of incidences Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  5. But…. • Absence of real time two way feedback • Absence of real time analysis • Absence of mechanism for synchronization with other relevant data for better future planning • Resulting into • Skewed Conduct of awareness program both in time ,type and place • Skewed allocation of funding due to incomprehensive fire schemes mostly based on traditional parameters • Lack of clarity in mobilization of ground force • Missing other important relevant information • Lack of sharing of this data in preparation of working plan SO … the recording of data , analyzing and generation of useful information there from that should serve better as Prediction and Prevention, is still wanting more attention Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  6. Where we Started…. • Reporting of Forest Fire Incidence has been manily based on the report provided by MODIS Data. which is received on daily basis and further processed and intimated to ground staff . • But the process itself does not stop the incidence from happening or timely addressing. • Our previous data show the increase trends in forest fires • Absence of organized data on feedback • Preventing forest fire from happening would only possible when the actual causes are known • Which is only possible with better feedback and its timely analysis. Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  7. Reasons As of Now Reasons reported were • Seasonal Heat • Forest Produce Collection • Human Negligence due to population increase • Unknown Reasons Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  8. But this is not sufficient • To Plan for Prevention this much of data is not sufficient. • Without the knowledge of target audience planning for awareness campaign will not be effective Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  9. Therefore realtime Forest Fire Analysis…. • The project therefore employs • More active and dynamic communication through use of intelligent call centre based data analysis • and sharing resulting in a system of continuous bettering preparedness • for effective analysis and guidance to field staff • for taking up suitable and relevant measures in Forest Protection in general • and Fire protection in particular Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  10. Call Centre at FMIS Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  11. Chhattisgarh Forest DepartmentFMIS Call Center-Process Chart

  12. Reporting & Alerts • Real Time Reporting to Concerned Field Staff And Higher officers Through Mail and SMS • Real Time Gathering of feedback from Ground Staff by Call Center. • Generating Real Time Database based on feedback and incidences. • Auto Generated MAP Generation and Uploaded to server for Auto Display in PCCF and Concerned Offices. • Number and Directory for making ready call is also displayed in realtime at PCCF and concerned office • Various Reports Emailed across at the end of day to all concern Officers Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  13. Various Maps Generated on Daily Basis Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  14. SMS Alerts Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS TO CF TO RO and field staff TO CCF and above

  15. Analysis Report Emailed to concern officials • Summary Report • Detailed Report • Confirmed Report • Confirmation Awaited • Not Reachable number Report Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  16. Sample Report Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  17. Example Summary from 1 Feb to 1 May • Total Reported : 1462 • Call Status- Confirmed : 1166 • Call Status- Awaited : 19 • Call Status- Connection_Error : 277 Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  18. Report Columns • Serial No • Fire Id • Reporting Date • Compartment NO • Division Name • Range Name • Beet Name • Officer's Name • Contact No • Call Status • Affected Area • LossFire Duration • Fire Reason • Final Report Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  19. Finding the odds • Data Thus collected from Satellite and Feedback received from ground staff are all compiled into one place • Data from other sources are also taken i.e Protection , MFP ( Honey Collection , Tendupatta ), Festivals Seasons. • Trends are located using all this data and reported to relevant authority • Any ODD which are noticed are given to field verification team for Analysing the data in larger perspective Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  20. Example of ground Truthing • Sudden Spurt of fire incidences during last week of march and first week of april in particular area of khairagarh division • 19 No of incidences occurred during the Period • Co-Related with the protection data showed wild life poaching incidence during the period • Field Visit and Ground Thruthing was done • A probable pattern was found Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  21. Map Of Fire Incidence in Khairagarh Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  22. Map Along with poaching incidence Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  23. Fire Location along with Poaching Incidence on map with geographical features Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  24. Analysiswith other data i.eRoadwater boadiesbamboo coupevillage names

  25. Findings. • Distinct pattern of fire along roads circumferecing forest area of wildlife habitat. That earlier looked as scattered around. • Other Areas around found burnt which were not detected by Satellite • The probability of wild life movement in forced direction towards water body- (place name Kahuapani) • Interesting name of a village in the vicinity- (Shikaritolla- Village of hunters) • Bamboo working in the vicinity • The associated transport contractor a relative of absconding culprit in the offence registered Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  26. Inferences • Fire was Caused for wild Life Poaching • Involvement of Traditional poaching villages was detected • Importance of water bodies surveillance was appreciated • Fire was caused along the road used for vehicles transporting forest goods. • Need for Surveillance on Forest Contractors activities Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  27. Now Revisiting the MAP of fire incidences and common perceptions about reasons Against this background • Seasonal Heat • Forest Produce Collection • Human Negligence due to population increase • Unknown Reasons Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS • Does this Ring a bell???

  28. So. the recording of data , analyzing and generation of useful information there from that should serve better as Prediction and Prevention, is still wanting more attention SO FAR ONLY A SMALL STEP HAS BEEN TAKEN Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  29. Way Ahead..Scalablity • In the same line following sources of data can also be synchronised for better analysis that should create more effective mechanism for both predictive and preventive actions for forest protection in general and forest fire in particular. • Slope • Vegetation • Illicit Felling • Encroachments • MFP • Wild Life Offences • Regional Festivals • Population • Socio-Economic • Working Circle • Forest Boundary • Saw MILL • Fire Line • Administrative Changes • Meteorological Data • Path Way • Village Name and Traditional Meanings • Elephants Tracks • Road Network • JFM Committees • Leftist Movement Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

  30. Thank You. Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS

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