Inetegrated Forest Fire Analysis framework

INETEGRATED FOREST FIRE ANALYSIS FRAMEWORK

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

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…. 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


MEASURES THROUGH ESTABLISHED PRACTICES ARE ALSO COMMON Fire Lines Fire Watchers Infrastructural Support Common Awareness Program Sharing of Satellite data of incidences


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


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

REASONSAs of Now Reasons reported were • Seasonal Heat• Forest Produce Collection• Human Negligence due to population

increase• Unknown Reasons


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


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

CALL CENTRE AT FMIS


Chhattisgarh Forest DepartmentFMIS Call Center-Process Chart

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


VARIOUS MAPS GENERATED ON DAILY BASIS


SMS ALERTS

TO CCF and above TO CF TO RO and field staff


ANALYSIS REPORT EMAILED TO CONCERN OFFICIALS Summary Report Detailed Report Confirmed Report Confirmation Awaited Not Reachable number Report


SAMPLE REPORT


EXAMPLE SUMMARY FROM 1 FEB TO 1 MAY Total Reported : 1462 Call Status- Confirmed : 1166 Call Status- Awaited : 19 Call Status- Connection_Error : 277


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 Loss Fire Duration Fire Reason Final Report Presented by:- Tapesh Jha (I.F.S) CF

Protection,Incharge FMIS

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


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


MAP OF FIRE INCIDENCE IN KHAIRAGARH


MAP ALONG WITH POACHING INCIDENCE


FIRE LOCATION ALONG WITH POACHING INCIDENCE ON MAP WITH GEOGRAPHICAL FEATURES


ANALYSISWITH OTHER DATA I.E ROADWATER BOADIESBAMBOO COUPEVILLAGE NAMES

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


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


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

•Does this Ring a bell???


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


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


Thank You.


Documents

Inetegrated Forest Fire Analysis framework