Development of a New Daily-Scale Forest Fire Danger Forecasting System Using Remote Sensing Data

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dc.contributor.authorChowdhury, Ehsan
dc.contributor.authorHassan, Quazi
dc.date.accessioned2015-03-29T17:24:59Z
dc.date.available2015-03-29T17:24:59Z
dc.date.issued2015-03-02
dc.description.abstractForest fires are a critical natural disturbance in most of the forested ecosystems around the globe, including the Canadian boreal forest where fires are recurrent. Here, our goal was to develop a new daily-scale forest fire danger forecasting system (FFDFS) using remote sensing data and implement it over the northern part of Canadian province of Alberta during 2009–2011 fire seasons. The daily-scale FFDFS was comprised of Moderate Resolution Imaging Spectroradiometer (MODIS)-derived four-input variables, i.e., 8-day composite of surface temperature (TS), normalized difference vegetation index (NDVI), and normalized multiband drought index (NMDI); and daily precipitable water (PW). The TS, NMDI, and NDVI variables were calculated during i period and PW during j day and then integrated to forecast fire danger conditions in five categories (i.e., extremely high, very high, high, moderate, and low) during j + 1 day. Our findings revealed that overall 95.51% of the fires fell under “extremely high” to “moderate” danger classes. Therefore, FFDFS has potential to supplement operational meteorological-based forecasting systems in between the observed meteorological stations and remote parts of the landscape.en_US
dc.identifier.citationChowdhury, E.H.; Hassan, Q.K. 2015. Development of a new daily-scale forest fire danger forecasting system using remote sensing data. Remote Sensing 7(3), 2431-2448.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/10037
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/1880/50394
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.publisher.departmentGeomatics Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.subjectRemote sensingen_US
dc.subjectFire dangeren_US
dc.subjectForecastingen_US
dc.titleDevelopment of a New Daily-Scale Forest Fire Danger Forecasting System Using Remote Sensing Dataen_US
dc.typejournal article
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