In response to the growing threats posed by frequent wildfires to ecological environments and human safety, this study presents the development of a lightweight, spaceborne, multispectral, uncooled infrared remote sensing camera specifically designed for wildfire monitoring. To address the low wildfire detection sensitivity of VOx uncooled infrared instruments, a multi-point precision temperature control technique and a spatiotemporal stacking method are implemented. Furthermore, a compact design and assembly approach endows the camera with low weight, small size, and low power consumption, making it highly suitable for satellite deployment. The test results demonstrate that the camera weighs less than 1.5 kg, consumes under 15 W of power, and achieves a sensitivity below 0.2 K, comparable to current spaceborne cooled infrared remote sensing cameras. The remote sensing camera has successfully detected various wildfires and thermal events. This study provides an innovative instrument for remote sensing wildfire monitoring.

Gas cloud imaging with uncooled infrared spectroscopy is influenced by ambient temperature, complicating the quantitative detection of gas concentrations in open environments. To solve the aforementioned challenges, the paper analyzes the main factors influencing detection errors in uncooled infrared spectroscopy gas cloud imaging and proposes a temperature correction method to address them. Firstly, to mitigate the environmental effects on the radiative temperature output of uncooled infrared detectors, a snapshot-based, multi-band infrared temperature compensation algorithm incorporating environmental awareness was developed. This algorithm enables precise infrared radiation prediction across a wide operating temperature range. Validation tests conducted over the full temperature range of 0 °C to 80 °C demonstrated that the prediction error was maintained within ±0.96 °C. Subsequently, temperature compensation techniques were integrated, resulting in the development of a comprehensive uncooled infrared spectroscopy gas cloud imaging detection method. Ultimately, the detection limits for SF6, ethylene, cyclohexane, and ammonia were enhanced by 50%, 33%, 25%, and 67%, respectively.