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Quazi Hassan is a professor in the Department of Geomatics Engineering in UCalgary's Schulich School of Engineering and leads the Earth Observation for Environmental Laboratory. He received a PhD from the University of New Brunswick in 2008 and is a registered professional engineer with APEGA.
Quazi and his research team are working on finding ways to use technology to help mitigate natural disasters caused by fire, drought and flooding. He is currently serving the editorial board of Scientific Reports (Nature Publication Group) and Remote Sensing (MDPI), among others.
- Chowdhury, E.H., and Hassan, Q.K. 2017. Use of remote sensing data in comprehending an extremely unusual flooding event over Southwest Bangladesh. Natural Hazards, doi:10.1007/s11069-017-2947-7.
- Hazaymeh, K., and Hassan, Q.K. 2017. Development of a remote sensing-based drought indicator and its implementation over semi-arid region. Journal of Arid Land, v. 9, pp. 319-330.
- Rahaman, K.R., and Hassan, Q.K. 2017. Quantification of local warming trend: A remote sensing-based approach. PLoS One, v. 12, e0169423:1-e0169423:18.
- Chowdhury, E.H., and Hassan, Q.K. 2015. Operational perspective of remote sensing-based methods for forest fire danger forecasting systems. ISPRS Journal of Photogrammetry and Remote Sensing, v. 104, pp. 224-236.
- Chowdhury, E.H., and Hassan, Q.K. 2015. Development of a new daily-scale forest fire forecasting system using remote sensing data. Remote Sensing, v. 7, pp. 2431-2448.
- Hazaymeh, K., and Hassan, Q.K. 2015. Spatio-temporal image fusion model for enhancing temporal resolution of Landsat-8 surface reflectance images using MODIS images. Journal of Applied Remote Sensing, v. 9, pp. 096095:1-096095:14.
- Mosleh, M.K., Hassan, Q.K., Chowdhury, E.H. 2015. Application of remote sensors in mapping rice area and forecasting its production: A review. Sensors, v. 15, pp. 769-791.