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    HomeActivitiesASEAN Technical Workshop - Peatland Fire Prediction and Early Warning System 20-21 March 2012, Kuala Lumpur, Malaysia [Page 4]

  ASEAN Technical Workshop - Peatland Fire Prediction and Early Warning System 20-21 March 2012, Kuala Lumpur, Malaysia [Page 4]


Concept Plan for a GIS-based Fire Monitoring and Prediction System

By: Chiam Keng Oon, ASEAN Specialised Meteorological Centre (ASMC)


This presentation aims at sharing with the audience ASMC’s intended concepts and approaches for a GIS based fire monitoring and prediction system. With the availability of suitable geospatial peatland data, the system can be extended to perform the role of peatland
fire monitoring as well.

Click here to download the file (PDF format)

Achievements of the On-Going JST-JICA "Wildfires and Carbon Management in Peat Forest in Indonesia: Fire Dectection and Fire Prediction System Component" Project

By: Orbita Roswintiarti, Remote Sensing Technology and Data Center, Indonesian National Institute of Aeronautics and Space (LAPAN)


This presentation describes some achievements from the on-going JST-JICA “Wildfires and Carbon Management in Peat Forest in Indonesia” project, particularly those from the Fire Detection and Fire Prediction System (FF) component. In general, the FF component consists of two activities, i. e. wild/peat fire control system and mapping and modeling land cover. The objectives of the wild/peat fire control system activity are to improve fire hotspot algorithm, estimate carbon emission by biomass burning among different ecotypes, transfer in-situ fire information to each region, and construct the prediction model of wild fire occurrence. While the objectives of the mapping and modeling land cover activity are to construct the model of water regime (soil moisture), make the maps of land cover/land use change, and establish the spectral library (plant/soil) in the investigation areas. The Block C and Block B of the ex-Mega Rice Project sites in Central Kalimantan province have been chosen as the pilot project areas.   

To this stage, the refined MODIS fire hotspot algorithm and the ground water table have been developed and uploaded daily in the local LAPAN’s server. In addition, the annual land cover/land cover change maps, the 16-day NDVI (Normalized Difference Vegetation Index), and several dominant tree spectral reflectances are ready to be integrated and analyzed. In the near-future, the fire alert system will be built in the form of short message service (sms) sent to the firefighters and other related stakeholders.     

Click here to download the file (PDF format).

Indonesian Peat Fires and Emission Reduction through Prevention Activities


By: Bambang Hero Saharjo, Forest Fire Laboratory Faculty of Forestry Bogor Agricultural University Indonesia


Forest fires event in Indonesia is not a new phenomenon as it had been occurr since thousands years ago and believed released significant greenhouse gas emission to the atmosphere especially due to peat fires and caused environmental destruction. According to the Indonesian Planning Development Agency (BAPPENAS) the majority of the peat emissions during 2000-2006 period were estimated to be a result of uncontrolled burning (defined as fires occurring outside of licensed areas and contributing 46% of total emissions), peat oxidation (25%) and biomass removal (24%) with the main source regions being Sumatra (44%) and Kalimantan (40%). Sumatra and Kalimantan dominate the national peat emissions profile with fire-related emissions being greater in Kalimantan than Sumatra, while oxidation emissions are greater in Sumatra than Kalimantan. This pattern probably reflects the fact that development peat land in Sumatra preceded that in Kalimantan. These facts shown that fire emission which estimates around 470 Mt CO2/yr is the significant greenhouse gas emission that should be gradually reduced. There are several activities probably could be done to reduce greenhouse gas emission in term of forest fire such as forest fire prevention and suppression activities, such as developing early warning system through hotspots monitoring with NOAA and MODIS. Actually there is an institution involved in monitoring of hotspots and fire danger rating system unfortunately without any clear field implementation procedure the result is not so significant. 

Click here to download the file (PDF format).

 [1] [2] [3] [Discussion Notes]