Journal of Remote Sensing & GIS

Wild fire mapping in Asia Pacific region by Advanced Himawari-8 Imager (AHI)

3^rd World Congress on GIS and Remote Sensing

September 20-21, 2017 Charlotte, USA

Hironori Arai

The University of Tokyo, Japan

Scientific Tracks Abstracts: J Remote Sensing & GIS

Abstract:

Forest fire has become a global social issue. Originally, forest plays the role of preventing the global warming by photosynthesis. Once it is burned, it merely becomes the emission source of carbon dioxide. Besides this one, forest plays a multifunctional role, so wildfire destroying forest has serious effect on global environment and society. For this reason, the damage caused by forest fire must be minimized, and it is necessary to detect forest fire spreading accurately. In this study, the new generation Japanese satellite �??Himawari-8�?� was focused on and forest fire detection was carried out. It is carrying Advanced Himawari-8 Imager (AHI) and the sensor composed of 16 observation bands. We present an approach to evaluate a wildfire duration time with 10 minutes temporal resolution, because this extremely high temporal resolution is quite advantageous in understanding forest fire spreading. AHI onboard Japanese geostationary satellite imagery is quite powerful to obtain the duration time of rapid fire events such as, a grass land fire that cannot be detected with the frequency of Landsat nor MODIS. Research areas are evergreen needleleaf forest in far-east Russia and evergreen broadleaf forest in Indonesia. Our approach was based on a model that the temperature of the pixel becomes higher than the non-fire pixels, if there is some wildfire in the pixel. As a result, it was found that fire duration time is detected by comparing the fire pixel which contains hotspots with a non-fire pixel around it. This technique is useful to detect wildfire duration time, even land coverage in evergreen needle leaf forests or evergreen broadleaf forests. We can conclude that an-hourly based monitoring provides us with a sufficient time resolution and plays an important role to monitor wild fire duration time with 10 minutes temporal resolution despite a lower spatial resolution in 2 kilometer than that of MODIS in 1 kilometer.

Biography :

Hironori Arai is currently a Research Fellow of (Japan Society for the Promotion of Science) JSPS at the Institute of Industrial Science (IIS), University of Tokyo, Japan. He obtained his Bachelor’s degree in 2011, Master’s degree in 2013 and PhD degree in 2015 at Faculty/Graduate School of Horticulture, Chiba University. He has worked at Japan International Research Center for Agricultural Sciences (JIRCAS) as a JSPS Research Fellow from 2015 to 2016. His current research interests consists of remote sensing, greenhouse gas flux measurements from ecosystem, global carbon cycling, and management and policy for terrestrial ecosystems.