Multi-temporal infrared radiation normalization method of virr sensor applied to forest fire hotspot discrimination
A technology of infrared radiation and sensors, applied in the field of forest fire monitoring, to achieve the effect of reducing the difference of infrared radiation
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[0022] When using remote sensing to monitor forest fire hotspots, the AVHRR sensor has high spatial resolution and wide coverage. When receiving forest fire hotspot energy, channel 3 has sensitive characteristics and can quickly monitor forest fire hotspots. However, when the saturation temperature is low, The 3 channels are easy to be saturated and cause false forest fire hotspots, and it is difficult to judge again in terms of time. However, MODIS has high temporal and spatial resolution and spectral resolution, which can make up for the defects of the AVHRR sensor itself, and combined with VIRR meteorological satellite data to establish a unified fire point judgment benchmark, it can improve the identification accuracy of forest fire hot spots. Therefore, it is necessary to construct a radiation normalization model, which is mainly divided into two parts: multi-temporal infrared radiation normalization and infrared radiation normalization of different sensors. In the normal...
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