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M. T. Odman et al.
permit data are used primarily for the evaluation of the burn activity forecast, later
on.
QUESTION: Does the system differentiate wild versus prescribed fires?
ANSWER: The burn permit data used to forecast burn activity for Georgia are for
prescribed fires but the satellite-based fire location and burned area data used for
other southeastern states cannot differentiate between wild versus prescribed fires.
Although prescribed fires dominate in the southeastern USA, a small number of
wildfires are also included in the statistics and can bias the burn activity and burn
impact forecasts.
Acknowledgements This research was supported by the Joint Fire Science Program (16-1-081), NASA Applied Sciences Program (NNX11AI55G & NNX16AQ29G) and US EPA Science to
Achieve Results Program (RD83521701). The statements made do not represent the official views
of the sponsors.
References
1. D. Gkatzoflias, G. Mellios, Z. Samaras, Development of a web GIS application for emissions
inventory spatial allocation based on open source software tools. Comput. Geosci. 52, 21–33
(2013)
2. M. Kulawiak, A. Prospathopoulos, L. Perivoliotis, M. łuba, S. Kioroglou, A. Stepnowski, Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS.
Comput. Geosci. 36, 1069–1080 (2010)
3. W. Lu, T.H. Ai, X. Zhang, Y.K. He, An interactive web mapping visualization of urban air quality
monitoring data of China. Atmosphere 8 (2017)
4. A. Vaidyanathan, F. Yip, P. Garbe, Developing an online tool for identifying at-risk populations
to wildfire smoke hazards. Sci. Total Environ. 619–620, 376–383 (2018)
M. T. Odman et al.
permit data are used primarily for the evaluation of the burn activity forecast, later
on.
QUESTION: Does the system differentiate wild versus prescribed fires?
ANSWER: The burn permit data used to forecast burn activity for Georgia are for
prescribed fires but the satellite-based fire location and burned area data used for
other southeastern states cannot differentiate between wild versus prescribed fires.
Although prescribed fires dominate in the southeastern USA, a small number of
wildfires are also included in the statistics and can bias the burn activity and burn
impact forecasts.
Acknowledgements This research was supported by the Joint Fire Science Program (16-1-081), NASA Applied Sciences Program (NNX11AI55G & NNX16AQ29G) and US EPA Science to
Achieve Results Program (RD83521701). The statements made do not represent the official views
of the sponsors.
References
1. D. Gkatzoflias, G. Mellios, Z. Samaras, Development of a web GIS application for emissions
inventory spatial allocation based on open source software tools. Comput. Geosci. 52, 21–33
(2013)
2. M. Kulawiak, A. Prospathopoulos, L. Perivoliotis, M. łuba, S. Kioroglou, A. Stepnowski, Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS.
Comput. Geosci. 36, 1069–1080 (2010)
3. W. Lu, T.H. Ai, X. Zhang, Y.K. He, An interactive web mapping visualization of urban air quality
monitoring data of China. Atmosphere 8 (2017)
4. A. Vaidyanathan, F. Yip, P. Garbe, Developing an online tool for identifying at-risk populations
to wildfire smoke hazards. Sci. Total Environ. 619–620, 376–383 (2018)