Preprint Article Version 1 NOT YET PEER-REVIEWED

A Broad-Area Method for Estimation of Upwelling Medium Wave Infrared for Fire Detection

Version 1 : Received: 15 December 2016 / Approved: 15 December 2016 / Online: 15 December 2016 (09:22:10 CET)

A peer-reviewed article of this Preprint also exists.

Hally, B.; Wallace, L.; Reinke, K.; Jones, S. A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation. Remote Sens. 2017, 9, 167. Hally, B.; Wallace, L.; Reinke, K.; Jones, S. A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation. Remote Sens. 2017, 9, 167.

Journal reference: Remote Sens. 2017, 9, 167
DOI: 10.3390/rs9020167

Abstract

Fire detection from satellite sensors relies on an accurate estimation of the unperturbed state of a target pixel, from which an anomaly can be isolated. Methods for estimating the radiation budget of a pixel without fire depend upon training data derived from the location's recent history of brightness temperature variation over the diurnal cycle, which can be vulnerable to cloud contamination and the effects of weather. This study proposes a new method that utilises the common solar budget found at a given latitude in conjunction with an area's local solar time to aggregate a broad-area training dataset, which can be used to model the expected diurnal temperature cycle of a location. This training data is then used in a temperature fitting process with the measured brightness temperatures in a pixel, and compared to pixel-derived training data and contextual methods of background temperature determination. Results of this study show similar accuracy between clear-sky medium wave infrared upwelling radiation and the diurnal temperature cycle estimation compared to previous methods, with demonstrable improvements in processing time and training data availability. This method can be used in conjunction with brightness temperature thresholds to provide a baseline for upwelling radiation, from which positive thermal anomalies such as fire can be isolated.

Subject Areas

fire detection; upwelling radiation; diurnal variation; training data; geostationary sensors

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