[ACG38-P11] Post-wildfire ground deformation in Eastern Siberian permafrost areas detected by InSAR
Keywords:InSAR, Permafrost, ALOS2, wildfire
Here, we report our detection of the post-wildfire ground deformation that occurred in 2014 to 2015 around Batagai, Eastern Siberia. This is the second example of InSAR observation of post-wildfire ground displacements, following the case of Alaska, and the first detection in Siberia. We used SAR images obtained from ALOS 2 (L-band) and Sentinel-1 (C-band) satellites. At the Site A (N67°46´; E134°20´) where the deformation signal was first detected near Batagai, we confirmed from Landsat and MODIS optical satellite images that the wildfire occurred from July to August 2014 and accompanied with clear changes in the groundcover over approximately 37 km2 areas. Based on InSAR images at the Site A, it turned out that the ground deformation has been continuing since August 2014 when the fire was extinguished. Even two years after the wildfire, we detected the LOS changes of about 10 cm at maximum in the 2016 summer season from July 30 to October 8. On the other hand, in the 2017 summer from July 29 to October 7, the maximum LOS change is about 6 cm with the same sense. In addition, by visually checking the past satellite images on Google Earth, we found that similar groundcover changes by wildfires did occur between 2014 and 2015 around Batagai, which were counted more than 20 places. We focused on seven such areas (40 to 200 km2) that are equal to or larger than Site A, and derived InSAR images at all the seven sites. In the earlier ALOS 2 InSAR data, some of 2014 and 2015 SAR data pairs could not be interfered due to the small differences in the carrier frequency. However, using band-pass-filter and frequency-shift, we could generate an interferogram. We also removed ionospheric noise by using split-band method, because it is one of the strong noises in polar region. In the future, we will extend the analysis area to the other post-wildfire areas, perform time-series analysis and physical modeling so that we can compare ground-based measurements.