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Martin E. Alexander
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2020 – today
- 2024
- [j6]Sadegh Khanmohammadi, Miguel G. Cruz
, Daniel D. B. Perrakis, Martin E. Alexander, Mehrdad Arashpour:
Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests. Ecol. Informatics 82: 102711 (2024) - 2020
- [j5]Miguel G. Cruz, Martin E. Alexander, Paulo M. Fernandes
Evaluating the 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread against an extensive independent set of observations. Environ. Model. Softw. 133: 104818 (2020)
2010 – 2019
- 2018
- [j4]Miguel G. Cruz
Assessing improvements in models used to operationally predict wildland fire rate of spread. Environ. Model. Softw. 105: 54-63 (2018) - 2013
- [j3]Martin E. Alexander, Miguel G. Cruz
Are the applications of wildland fire behaviour models getting ahead of their evaluation again? Environ. Model. Softw. 41: 65-71 (2013) - [j2]Miguel G. Cruz
Uncertainty associated with model predictions of surface and crown fire rates of spread. Environ. Model. Softw. 47: 16-28 (2013) - [j1]Wesley G. Page, Michael J. Jenkins, Martin E. Alexander:
Foliar moisture content variations in lodgepole pine over the diurnal cycle during the red stage of mountain pine beetle attack. Environ. Model. Softw. 49: 98-102 (2013)
2000 – 2009
- 2002
- [c1]Keith Abbott, Brigitte Leblon, Gordon Staples, Martin E. Alexander, David A. MacLean:
Use of RADARSAT-1 images to map forest fuel moisture over boreal forests. IGARSS 2002: 134-136
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