11:45 AM - 12:00 PM
[STT45-05] Forest fire detection in the low biomass dry forest with JICA-JAXA Forest Early Warning System in the Tropics (JJ-FAST).
Keywords:Forest monitoring, Deforestation detection, PALSAR-2
JJ-FAST detected 168 deforestation sites between Nov. 11 and Dec. 23, 2018 in South Africa. MODIS burned area product  obtained between Oct. 10 and Dec. 31, 2018 were overlapped and confirmed that the almost all the polygons detected by the JJ-FAST deforestation detection algorithm were overlapped with the burned area detected by MODIS. The forest fire area were also identified by Sentinel-2 data. BBC news  reported severe wildfire occurred in George, South Africa on Oct. 30, and the area was also coincident with the one detected by the JJ-FAST algorithm. The JJ-FAST algorithm also detected 82 deforestation sites in Mozambique between Aug. 13 and Nov. 5, 2018. These sites were also overlapped with the MODIS burned area. From these facts, we concluded that the current JJ-FAST deforestation detection algorithm could detected severely damaged forest fire area in the low biomass dry forest. It is known that forest fire in dense forest is detected by increase of radar backscattering in HH polarization . This is explained that forest fire makes forest canopy dry and induces more double bounce scattering, implying the increase of backscattering in HH polarization. In the case of low biomass dry forest, forest fire makes forest canopy dry and induces lower volume scattering in a tree canopy layer, implying the decrease of backscattering in HV. The decrease of volume scattering also occurred in the dense forest. But higher density of burned trees left on the ground still induces brighter radar reflection in HV and make it difficult to detects the forest fire sites in HV polarization.
 JJ-FAST, http://www.eorc.jaxa.jp/jjfast/jj_index.html, accessed on February 17, 2019
 Manabu Watanabe, et al., A possibility of forest fire site detection by JJ-FAST system
 https://modis.gsfc.nasa.gov/data/dataprod/mod45.php, accessed on Feb. 17, 2019
 https://www.bbc.com/news/world-africa-46029553, accessed on Feb. 17, 2019