Application of Grassland Fire Monitoring Based on Himawari-8 Geostationary Meteorological Satellite Data

Abstract

<p>Himawari-8 is the next-generation geostationary meteorological satellite, which is developed by JMA and was been launched in October,2014. As the successor to the MTSAT series,Its spatial resolution, observation frequency and position accuracy are much better than the last generation, so it has large advantage in grassland fire monitoring. In this paper, we presentthe method of fire monitoring self-adaptive threshold based on Himawari-8 data, and takean example of using Himawari-8 data to monitor dynamically the grassland fire located near the border of China in April of 2016. The monitoring results show that the fire lasted about 22 hours, the size of burned area were large than 1500 km<sup>2</sup>, the longest duration of a fire pixel was about 6 hours. Through analyzing a series fire information from successive  Himawari-8 10 minutes frequency observation,the result shows that the expanding speed of the fire is 5.4 km in the direction from west to east during some duration, which is up to the extent of fast speed fire type,. Using this method, analyzed the dynamic monitoring in the next day and other scattered fire point in different areas, which indicate that this method is universality in fire monitoring and Himawari-8 can be well used to monitor the fire dynamically changing, get the location, area and temperature of the fire, evaluate the expanding speed, estimate the trends of fire development and raise the ability of grass land fire monitoring and early warning.</p>

Research on dynamic and static grassland fire identification based on UAV images

“…This paper improves the loss function of YOLOv5 and adopts DIoU_loss as the loss function of YOLOv5. DIoU takes into account the distance between the target and the anchor frame, the overlap rate of the anchor frame and the scale, so the DIoU target frame regression is more stable and accurate than that of GIoU, and the DIoU formula is shown in (2), (3).…”

“…However, the operation process of manual patrol is simple, and this method is mainly used to monitor fires in grassland areas in China [2] . Grassland fire monitoring means based on satellite remote sensing [3,4] can quickly monitor a wider range of grassland fire information, however, satellite remote sensing means are limited by the satellite operation cycle, which makes it difficult to monitor grassland fires in real time, and the relatively low ground resolution of satellite images affects the accuracy of initial fire detection and can easily cause misclassification. Fire monitoring by wireless sensors [5] , a sensor-based approach can monitor grassland fires in real time, which cannot be covered on a large scale in grasslands due to the impact of wireless sensor networks by factors such as sensing range, energy consumption and price.…”

Fire Monitoring Algorithm and Its Application on the Geo-Kompsat-2A Geostationary Meteorological Satellite

“…Moreover, as a new generation of geostationary meteorological satellites, the GK-2A, has a similar band range to that of the Himawari-8, which covers the visible light band to the far-infrared band. Therefore, the fire spot identification algorithm of the GK-2A is similar to that of the Himawari-8 [24][25][26].…”