I NETEGRATED F OREST F IRE A NALYSIS FRAMEWORK Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS F IRE 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 B UT . 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 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 B UT . 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 W HERE WE S TARTED . 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 R EASONS 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 B UT 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 T HEREFORE REALTIME F OREST F IRE A NALYSIS . 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 C ALL C ENTRE AT FMIS Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS Chhattisgarh Forest Department FMIS Call Center-Process Chart Follow-up Call Center Follows up continuously till the feedback is recived Call center executives do cross check and update on software fire incidences with daily reports, which are received from division office Action Based on received data call center Ensure communication with HQ, circle, division and range officers and other field staff for fire incidences in forest area As per feedback given by field officials fire data along with the feedback is updated in software Fire Data Collection MODIS satellite based data collected every day and suitably project on forest area. This data is shared immediately with call center R EPORTING & A LERTS 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 Reportsed across at the end of day to all concern Officers Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS V ARIOUS M APS G ENERATED ON D AILY B ASIS Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS SMS A LERTS TO CCF and above TO CFTO RO and field staff Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS A NALYSIS R EPORT E MAILED 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 S AMPLE R EPORT Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS E XAMPLE S UMMARY FROM 1 F EB TO 1 M AY 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 R EPORT C OLUMNS Serial No Fire Id Reporting Date Compartment NO Division Name Range Name Beet Name Officer's Name Contact No Call Status Affected Area Loss Fire Duration Fire Reason Final Report Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS F INDING 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 E XAMPLE OF GROUND T RUTHING 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 M AP O F F IRE I NCIDENCE IN K HAIRAGARH Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS M AP A LONG WITH POACHING INCIDENCE Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS F IRE L OCATION ALONG WITH P OACHING I NCIDENCE ON MAP WITH GEOGRAPHICAL FEATURES Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS A NALYSIS WITH OTHER DATA I. E R OAD WATER BOADIES BAMBOO COUPE VILLAGE NAMES F INDINGS. 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 I NFERENCES 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 N OW R EVISITING THE MAP OF FIRE INCIDENCES AND COMMON PERCEPTIONS ABOUT REASONS A GAINST THIS BACKGROUND Seasonal Heat Forest Produce Collection Human Negligence due to population increase Unknown Reasons Does this Ring a bell??? Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS 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 W AY A HEAD..S CALABLITY 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 Thank You. Presented by:- Tapesh Jha (I.F.S) CF Protection,Incharge FMIS