Evaluation of orbit results on wildfire detection using a broad single-channel microbolometer sensor sensitive in the thermal infrared

Julian Bartholomäus; Philipp Werner; Enrico Stoll

doi:10.1117/12.2680895

17 October 2023 Evaluation of orbit results on wildfire detection using a broad single-channel microbolometer sensor sensitive in the thermal infrared

Julian Bartholomäus, Philipp Werner, Enrico Stoll

Author Affiliations +

Proceedings Volume 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV; 127270S (2023) https://doi.org/10.1117/12.2680895
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

The TUBIN spacecraft launched in June 2021 is tasked with the detection of high-temperature events. To this end, it employs two microbolometer focal plane arrays and a complementary sensor sensitive in the visible range. Using simulated data, a fire detection algorithm was developed. Within the first 18 months of mission operations, several hundred scenes containing wildfires and other high-temperature events were captured. The detected high-temperature events can be categorized into volcanic features, vegetation fires and artificial events such as gas flares. Fire maps were manually created for all scenes meeting the criteria of nadir or close to nadir imaging and the availability of recent calibration data. These maps were validated using secondary space-borne instruments such as MODIS, VIIRS. The individual validation of the data was performed with satellite data with close temporal proximity to the time of image capture. The available fire products feature various ground sampling distances (GSD) mostly lower than the approximately 150 m GSD of the TUBIN sensor suite. The fire detection algorithm is based on the brightness temperature values of the pixels. Through a series of steps, cloud and background pixels are isolated from candidate fire pixels that are further evaluated based on their relative response. This paper evaluates the results from the TUBIN fire detection algorithm on the gathered data and determines the accuracy within the data set.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Julian Bartholomäus, Philipp Werner, and Enrico Stoll "Evaluation of orbit results on wildfire detection using a broad single-channel microbolometer sensor sensitive in the thermal infrared", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270S (17 October 2023); https://doi.org/10.1117/12.2680895

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