The satellite is equipped with an Advanced Himawari Imager (AHI) 16-channel multispectral sensor with a spatial resolution of 2km ( Xu et al. It has very advanced data visualization capabilities that allow to explore and understand complex data quickly.

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Smoke and flames produced during combustion can be detected in the visible light bands of remote sensing images, and high temperatures on the surface of fires are easily detected in the mid-infrared, shortwave infrared and thermal infrared bands ( Leblon et al. We developed a novel active fire detection convolutional neural network (FireCNN) based on Himawari-8 satellite images.

Consensus” means the standards were developed by a committee of experts that includes stakeholders representing a balance of interests. Second, most of the existing deep learning methods use polar-orbiting satellites images which could provide fine spatial resolution, but the temporal resolution is relatively low.

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Among the Himawari-8 satellite multispectral images, bands 1-6 are albedo data, a l b e d o = r e f l e c t a n c e ∗ cos ( s o l a r z e n i t h a n g l e ), and bands 7–16 are brightness temperature data. Many fire departments are learning that more nimble fire apparatus using a smaller chassis can provide several advantages, including the capability to handle smaller incidents while reducing the wear-and-tear on larger, more expensive fire pumper and aerial apparatus. In many fire departments, existing fleets of fire apparatus are aging and replacements are expensive. However, they are difficult to detect the fires at pixel level, due to the low spatial resolution of Himawari-8 images and the subtle target of the fire.proposed a new AHI-FSA algorithm that uses the Advanced Himawari Imager (AHI) data to detect burning and unburned vegetation, and the edge between smoke-covered and non-smoke-covered areas, respectively. The new method utilizes multi-scale convolution to comprehensively assess the characteristics of fire spots and uses residual structures to retain the original characteristics, which makes it able to extract the key features of the fire spots. To ensure that the pixels at the edge of the image can also set a sufficient window size, a sufficient width of the mirror edge was added to the image before processing. NFPA 1901: Standard for Automotive Fire Apparatus is a 200-plus-page document that details a variety of consensus standards about fire equipment and apparatus.