Image: Excerpts from our landcover (top) and carbon stock (bottom) maps for 2014 (left) and 2016 (right) within KPHP Lalan
Watch the full video on palm oil here or skip to our contribution at 12:50.
RSS participated in the 15th International Peat Congress in Kuching, Malaysia and won the best poster award. The poster presented our damage assessment of the 2015 fire catastrophe in Indonesia. Imagery from Sentinel-1 allowed us to produce comprehensive burned area maps and fire emission estimates for our "ESA cci_fire" project.
Detection and Characterization of Low Temperature Peat Fires During the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird)
Elizabeth C. Atwood1,2*, Sandra Englhart2, Eckehard Lorenz3, Winfried Halle3, Werner Wiedemann2, Florian Siegert1,2
Vast and disastrous fires occurred on Borneo during the 2015 dry season, pushing Indonesia into the top five carbon emitting countries. The region was affected by a very strong El Niño-Southern Oscillation (ENSO) climate phenomenon, on par with the last severe event in 1997/98. Fire dynamics in Central Kalimantan were investigated using an innovative sensor offering higher sensitivity to a wider range of fire intensities at a finer spatial resolution (160 m) than heretofore available. The sensor is onboard the TET-1 satellite, part of the German Aerospace Center (DLR) FireBird mission. TET-1 images (acquired every 2-3 days) from the middle infrared were used to detect fires continuously burning for almost three weeks in the protected peatlands of Sebangau National Park as well as surrounding areas with active logging and oil palm concessions. TET-1 detection capabilities were compared with MODIS active fire detection and Landsat burned area algorithms. Fire dynamics, including fire front propagation speed and area burned, were investigated. We show that TET-1 has improved detection capabilities over MODIS in monitoring low-intensity peatland fire fronts through thick smoke and haze. Analysis of fire dynamics revealed that the largest burned areas resulted from fire front lines started from multiple locations, and the highest propagation speeds were in excess of 500 m/day (all over peat > 2m deep). Fires were found to occur most often in concessions that contained drainage infrastructure but were not cleared prior to the fire season. Benefits of implementing this sensor system to improve current fire management techniques are discussed. Near real-time fire detection together with enhanced fire behavior monitoring capabilities would not only improve firefighting efforts, but also benefit analysis of fire impact on tropical peatlands, greenhouse gas emission estimations as well as mitigation measures to reduce severe fire events in the future.
Image: active fire fronts expand around a burn scar in the bottom four TET images (acquired between September and October 2015) while the Landsat images show the land pre-fire (top left) and growing burn scar boundaries (top right).
Along with the dry samples, more than 20 water samples were obtained between the main river, all six river mouths and the open sea. These data will calibrate the algorithms that compute proxies for marine plastic concentrations and strengthen future methods to detect plastic debris.
For more information on our partners, please visit the ISMAR-CNR website.
Watch the full presentation online (START: 37min 40s):
ESA Living Planet Symposium: Forest Biomass