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ABSTRACT
Remote sensing for hazard response requires a priori identification of sensor, transmission, processing, and distribution methods to permit the extraction of relevant information in timescales sufficient to allow managers to make a given time-sensitive decision. This study applies and demonstrates the utility of the Remote Sensing Communication Model (RSCM) to improve a tactical wildfire remote-sensing system to better meet the time-sensitive information requirements of emergency response managers in San Diego County, USA. A thermal infrared airborne remote-sensing system designed and operated by the United States Forest Service Pacific Southwest Research Station for active wildfire monitoring is documented and updated based on the RSCM. Analysis of the thermal infrared remote-sensing system in the context of the RSCM identified three configuration changes that can improve the effectiveness of the information produced when employed by wildfire incident commanders for suppression prioritization: (1) limit spectral sampling collection to a single waveband; (2) complete image processing steps on-board the aircraft; and (3) provide information on wildfire locations to incident commanders in the form of a static map.
Acknowledgment
Partial funding for this study was provided by an American Recovery and Reinvestment Award (ARRA) through the US Forest Service (JV-11279702-101) – SDSU Grant G00008499– Philip Riggan and Douglas Stow, Principal Investigators. This Research was also supported by the Robert N. Colwell memorial Fellowship, the William and Vivian Finch Award in Remote Sensing, and by the San Diego State University Department of Geography.
Disclosure statement
No potential conflict of interest was reported by the authors.